Technical Documentation

U.S. Department of Commerce

Economics and Statistics Administration

U.S. CENSUS BUREAU

Summary File 4 2000 Issued July 2007

SF4/12 (RV)

2000 Census of Population and Housing
For additional information concerning the files, contact Marketing Services Office, Customer

Services Center, U.S. Census Bureau, Washington, DC 20233 or phone 301-763-INFO (4636).

For additional information concerning the technical documentation, contact Administrative

and Customer Services Division, Electronic Products Development Branch, U.S. Census Bureau,

Washington, DC 20233 or phone 301-763-8004.

U.S. Census Bureau
Issued July 2007 

 2000

SF4/12 (RV)

2000 Census of Population and Housing

Technical Documentation

Summary File 4

U.S. Department of Commerce

Donald L. Evans,

Secretary

Samuel W. Bodman,

Deputy Secretary

Economics and Statistics Administration

Kathleen B. Cooper,

Under Secretary

for Economic Affairs

U.S. CENSUS BUREAU

Charles Louis Kincannon,

Director
Vacant,

Principal Associate Director

and Chief Financial Officer

Vacant,

Principal Associate

Director for Programs

Preston Jay Waite,

Associate Director

for Decennial Census

Nancy M. Gordon,

Associate Director

for Demographic Programs

SUGGESTED CITATION

FILES: Census 2000 Summary File 4—

[name of state or United States]/

prepared by the

U.S. Census Bureau, 2003

TECHNICAL DOCUMENTATION:

Census 2000 Summary File 4

Technical Documentation/prepared by

the U.S. Census Bureau, 2003

Cynthia Z.F. Clark,

Associate Director

for Methodology and

Standards

Marvin D. Raines,

Associate Director

for Field Operations

Arnold A. Jackson,

Assistant Director

for Decennial Census

ECONOMICS

AND STATISTICS

ADMINISTRATION

Economics

and Statistics

Administration

Kathleen B. Cooper,

Under Secretary

for Economic Affairs

U.S. CENSUS BUREAU

Charles Louis Kincannon,

Director

Hermann Habermann,

Deputy Director and

Chief Operating Officer
CHAPTERS

1 Abstract ................................. 1–1

2 How to Use This File........................... 2–1

3 Subject Locator ............................. 3–1

4 Summary Level Sequence Chart..................... 4–1

5 List of Tables (Matrices) ......................... 5–1

6 Summary Table Outlines ........................ 6–1

7 Data Dictionary ............................. 7–1

8 Accuracy of the Data .......................... 8–1

9 User Updates .............................. 9–1

APPENDIXES

A Census 2000 Geographic Terms and Concepts............. A–1

B Definitions of Subject Characteristics.................. B–1

C Data Collection and Processing Procedures .............. C–1

D Questionnaire .............................. D–1

E Data Products and User Assistance ................... E–1

F Maps ................................... F–1

G Code Lists ................................ G–1

H Characteristic Iterations ......................... H–1

CONTENTS

iii
Chapter 1.

Abstract

Page

Citation .......................................................................................... 1–1

Type of File ...................................................................................... 1–1

Subject Content ................................................................................. 1–1

Geographic Content ............................................................................ 1–1

User Updates .................................................................................... 1–2

Related Products ................................................................................ 1–3

File Ordering .................................................................................... 1–3

CITATION

U.S. Census Bureau, 2000 Census of Population and Housing, Summary File 4: Technical

Documentation, 2003.

TYPE OF FILE

Summary statistics.

SUBJECT CONTENT

Summary File 4 (SF 4) contains the sample data, which is the information compiled from the

questions asked of a sample of all people and housing units. Population items include basic

population totals; urban and rural; households and families; marital status; grandparents as

caregivers; language and ability to speak English; ancestry; place of birth, citizenship status, and

year of entry; migration; place of work; journey to work (commuting); school enrollment and

educational attainment; veteran status; disability; employment status; industry, occupation, and

class of worker; income; and poverty status. Housing items include basic housing totals; urban

and rural; number of rooms; number of bedrooms; year moved into unit; household size and

occupants per room; units in structure; year structure built; heating fuel; telephone service;

plumbing and kitchen facilities; vehicles available; value of home; monthly rent; and shelter costs.

In Summary File 4, the sample data are presented in 213 population tables (matrices) and 110

housing tables, identified with ‘‘PCT’’ and ‘‘HCT,’’ respectively. Each table is iterated for 336

population groups: the total population, 132 race groups, 78 American Indian and Alaska Native

tribe categories (reflecting 39 individual tribes), 39 Hispanic or Latino groups, and 86 ancestry

groups. The presentation of SF 4 tables for any of the 336 population groups is subject to a

population threshold. That is, if there are fewer than 100 people (100 percent count) in a specific

population group in a specific geographic area, and there are fewer than 50 unweighted cases,

their population and housing characteristics data are not available for that geographic area in SF

4. For the ancestry iterations, only the 50 unweighted cases test can be performed. See Appendix

H, ‘‘Characteristics Iterations,’’ for a complete list of characteristic iterations.

Population and housing items may be cross tabulated. Selected aggregates and medians also are

provided. A complete listing of subjects in this file is found in the section, ‘‘Subject Locator.’’

GEOGRAPHIC CONTENT

Summary File 4 (SF 4) is released as individual files for each of the 50 states, the District of

Columbia, and Puerto Rico; and for the United States. The tables (matrices) are identical for all

files, but the geographic coverage differs.

Abstract 1–1

U.S. Census Bureau, Census 2000
This abstract lists the most frequently accessed geographic levels. The ‘‘Summary Level Sequence

Chart’’ section outlines the hierarchical and inventory geographic summaries in their entirety. Two

summary level sequence charts are provided: one for the state files and one for the national file.

State Files

SF 4 for states, the District of Columbia, and Puerto Rico provides data for these areas and their

subareas in hierarchical sequence down to the census tract level. The file structure includes, but is

not limited to the following geographic entities:

State1

County2

County subdivision3

Place (or place part)

Census tract

State portion of American Indian and Alaska Native area (with off-reservation trust lands and

with no off-reservation trust lands) and Hawaiian home land

County portion of American Indian and Alaska Native area and Hawaiian home land

State portion of urban area (urbanized areas and urban clusters)

State portion of metropolitan area

SF 4 for states also has inventory (complete) summaries for the following geographic areas:

Place

Census tract

Consolidated city

National Files

The SF 4 national file provides summary data for the entire United States. The file structure

includes, but is not limited to the following geographic entities:

United States

Region

Division

State

County

County subdivision

Place

American Indian and Alaska Native area (with off-reservation trust lands and with no

off-reservation trust lands) and Hawaiian home land

Metropolitan statistical area/Consolidated metropolitan statistical area (MSA/CMSA)

Consolidated metropolitan statistical area/Primary metropolitan statistical area (CMSA/PMSA)

Urban area (urbanized areas and urban clusters)

USER UPDATES

The section on User Updates informs data users about corrections, errata, and related explanatory

information. These updates provide information about unique characteristics, changes, or

corrections. However, sometimes this information becomes available too late to be reflected in the

tables (matrices) or related documentation. Census 2000 user updates are available on the Census

1

This includes states, the District of Columbia, or Puerto Rico.

2

Parish in Louisiana; city and borough, municipality, borough, or census area in Alaska; municipio in Puerto

Rico; in Maryland, Missouri, Nevada, and Virginia, one or more cities are independent of counties and are

treated as statistical equivalents of counties; the entire District of Columbia, which has no counties, is treated

as a county equivalent. 3

In Puerto Rico, some subdivisions (barrios-pueblos and barrios) are divided into subminor civil divisions

(subbarrios).

1–2 Abstract

U.S. Census Bureau, Census 2000
Bureau’s Internet site at www.census.gov/main/www/cen2000.html. Users also can register to

receive user updates by e-mail by contacting Customer Services Center, Marketing Services Office,

U.S. Census Bureau on 301-763-INFO (webmaster@census.gov).

RELATED PRODUCTS

Listed below are the other related sample products that will be made available through DVD,

CD-ROM, and/or through the American FactFinder (AFF). Some products will be available as

printed reports.

Census 2000: Summary File 3 (SF 3). Files containing sample data on households and families;

marital status; grandparents as caregivers; language and ability to speak English; place of birth,

citizenship status, and year of entry; migration, place of work, etc., for the total population and a

limited list of race and Hispanic or Latino groups. The file for each state includes selected data

down to the block group level, while the national files include data only down to the place level.

Released in 2002.

Census 2000: PHC-2, Summary Social, Economic, and Housing Characteristics. A series of reports

for the United States, each state, the District of Columbia, and Puerto Rico, which contains sample

data for states, counties, county subdivisions, places, and state parts of American Indian and

Alaska Native areas, and Hawaiian home lands. The United States summary report presents the

same sample data for the United States; states, Puerto Rico, and the District of Columbia;

metropolitan areas; urbanized areas; and places of 100,000 or more population; American Indian

and Alaska Native areas; and Hawaiian home lands. This series is available on the Internet (PDF)

and as a printed report. Released in 2003.

FILE ORDERING

For ordering and pricing information, access the online catalog at the Census Bureau’s Internet

site (www.census.gov) or contact the Census Bureau’s Customer Services Center (301-763-INFO).

Abstract 1–3

U.S. Census Bureau, Census 2000
Chapter 2.

How to Use This File

INTRODUCTION

This chapter serves as a guide for data users to both the file and the technical documentation.

Novice users trying to understand how to use the documentation and the file should read this

chapter first. Please pay particular attention to the section titled Data Structure and

Segmentation. This structure is a new approach for Census 2000.

DATA FORMAT AND ACCESS TOOLS

Users of the DVD/CD-ROM can access the file information in two ways. The DVD/CD-ROM

contains software that aggregates user-defined areas, allows for multiple geographic selections,

and creates customized reports. (Note: ASCII CD-ROMs prepared upon release of individual state

files do not contain supporting software. Software is only available on the DVD/CD-ROM products

created after all files have been released.)

Users can also utilize off-the-shelf standard software packages to manipulate the data. The data

on the DVD/CD-ROM are in a standard proprietary format that can easily be imported into other

software packages.

Flat ASCII files by state are available for downloading via FTP from the American FactFinder Web

site or from ftp://ftp2.census.gov/census2000/ . Also they are available as an on-demand

CD-ROM product. In ASCII products, the geographic header record file contains fixed fields while

the data portion, including the geographic links, are in comma-delimited format.

FILE NAMING CONVENTIONS

File names follow a predefined structure. For Summary File 4 (SF 4), all geoheader files are named

stgeor.uf4. The st is the United States Postal Service (USPS) two-character abbreviation for the

state. US (us) is used for national files. The geo portion of the title is a constant. The r indicates

the release number of the product. The r field is only used after the initial file release. In any

subsequent releases, the r field is replaced by an alpha sequence letter (a, b, etc.). For example,

the state geoheader file for South Dakota is named sdgeo.uf4. If there were a re-release of this file,

it would be named sdgeoa.uf4. The extension .uf4 is used for both the state files and the national

file.

Data files are named stseqr where st is the USPS state code, seq is the file sequence number, and r

is the file re-release indicator. SF 4 files have an extension of uf4. For example, file sd00010.uf4 is

the tenth segment file (00010) in the South Dakota (sd) file set. The absence of the ‘‘r’’ file

indicates the first release of the data. The extension, .uf4 indicates this is the SF 4 file. Both the US

and state SF 4 files have the .uf4 extension.

For each SF 4 state file series and for the SF 4 national release, there can be up to 12,768. The

12,768 files are comprised of a geoheader file and 38 data files for each of the 336 characteristic

iteration groups. If all 336 groups are present in sufficient numbers to be tallied, there will be

12,768 files for the state. In states where a group either is not present or does not meet the

population threshold, there will be no files for that iteration, reducing the potential file count by

38 (the 38 data files for a single population characteristic iteration).

READING THE GEOGRAPHIC HEADER RECORD

The geographic header record, Figure 2–5 at the end of this chapter, defines each field and

provides its data dictionary reference name, size, starting position and data type. A slightly

different presentation of the header record appears in the identification section of the Data

How to Use This File 2–1

U.S. Census Bureau, Census 2000
Dictionary (Chapter 7). In Figure 2–5, the information in each summary level column is a guide to

the presence or absence of additional geographic information on that specific summary level. For

example, on the column for summary level 040, we see ’x’ for the first 11 fields, indicating that

there will be information for those fields. In the county field, there is no ’x’ indicating that there is

no code for county in summary level 040. Since 040 is the summary level for state, this is

perfectly logical.

In another example, we note the elementary school district field in the geographic header under

Special Area Codes. In searching through the various summary levels of the header record, we see

that the information (designated by an ’x’ in the field) is available only for summary level 750

(blocks within a hierarchy) and summary level 775 (blocks within a hierarchy for Puerto Rico).

GEOGRAPHIC HIERARCHY PRIMER

The smallest level for all geography available for SF 4 is the census tract. A smaller level

geography, the block group, is available in Summary File 3. Figure 2–3 at the end of this chapter

provides an example of the various geographic hierarchies used, building from the block. Take

some time to review this chart to become familiar with the different hierarchies.

Begin reading the schematic from the bottom at the blocks entry. By following the lines you can

see the hierarchy very quickly. For example, follow blocks to block groups, to census tracts, to

counties. This path indicates that census tracts and their sublevels in the hierarchy are uniquely

identified within a county and do not cross county boundaries.

Follow blocks to the school district hierarchy. This path tells you that school districts can cross

county, place, and other sub-state boundaries, but do not cross state lines.

Figure 2–4 at the end of this chapter presents similar information for the American Indian

areas/Alaska Native area/Hawaiian home land hierarchy. Again, read the schematic from the

bottom, beginning with the lowest level of geography.

RECORD IDENTIFICATION

File identification (FILEID), state/US abbreviation (STUSAB), summary levels (SUMLEV) and the

geographic component codes (GEOCOMP) are critical elements in identifying the geographic level

for each record. The STUSAB field identifies the highest level of geography for the file. In state

files, it identifies the individual state. For SF 4 files, the following FILEID and STUSAB codes are

used:

FILEID STUSAB

SF4 state and state equivalent files ’uSF4’ ’AL-WY’

SF4 national file ’uSF4’ ’US’

GEOGRAPHIC COMPONENTS

In SF 4, data are tabulated not only for specific geographic entities, such as a specific state,

county, or place, but also for geographic components of these entities. Examples of this include

all urban areas within a specific entity, rural areas within the entity, portion within a metropolitan

area, portion within metropolitan areas of specific size ranges, and a large number of other

combinations. These combinations are identified in the field called GEOCOMP, which begins in

position 12 of the geographic header record. All possible geographic components are listed in

footnote 3 of the identification section of the Data Dictionary (Chapter 7).

CHARACTERISTIC ITERATION

In SF 4, tables are repeated (iterated) for various population groups. The characteristic iteration

(CHARITER) field provides a three-digit code indicating the population being tabulated for the

record. A listing of the 336 population groups and their characteristic iteration codes appears in

Appendix H of this technical documentation. As noted in the File Naming Conventions section

above, the three-digit iteration code is a component of the file name.

2–2 How to Use This File

U.S. Census Bureau, Census 2000
SUMMARY LEVEL SEQUENCE CHART

The Summary Level Sequence Chart (Chapter 4) identifies each geographic level and provides the

code that is in the SUMLEV field. It is easy to determine the code for the desired geography if you

remember that the last geographic area type listed in the sequence identifies the geography of the

summary level; the prior codes simply identify the hierarchy. See the example below:

140 State-County-Census Tract

144 State-County-Census Tract-American Indian Area/Alaska Native Area/Hawaiian Home

Land

In summary level 140, the record contains data for a census tract within a county within a state.

Census tracts are uniquely numbered within a county and do not cross county boundaries. Since

counties do not cross state boundaries, this is a simple application. Thus, summary level 140

provides data for a complete census tract.

In summary level 144, the geography is more complex. The key is to work backward through the

hierarchy. Thus, summary level 144 is a record for the portion of an American Indian Area (or an

Alaska Native Area or a Hawaiian Home Land) within a specific census tract within a county within

a state.

When reading the Summary Level Sequence Chart, it is important to recognize that dashes (-)

separate the individual hierarchies while slashes separate different types of geography (such as

place/remainder) within the same hierarchy.

DATA STRUCTURE AND SEGMENTATION

The segmentation information discussed below applies to the ASCII version of the CD-ROM/DVD

files, the FTP files downloaded from American FactFinder, and any tape-to-CD files that are custom

created by the Census Bureau.

It is important to have some clarification on definitions. The data for an individual state is known

as the file set. This is the package that an individual CD-ROM or state FTP directory will contain.

It is easiest to think of the file set as a logical file. However, this logical file consists of 38 physical

files: the geographic header file and file 01 through file 38. This file design is a change from

census files from earlier decades. The larger size of the tables made this necessary. By offering

smaller files, users can work only with the file containing the table they need. Figure 2–2 provides

the file/table details.

A unique logical record number (LOGRECNO in the geographic header) is assigned to all files for a

specific geographic entity. This is done so all records for that specific entity can be linked

together across files. Besides the logical record number, other identifying fields are also carried

over from the geographic header file to the table files. These are file identification (FILEID),

state/U.S. abbreviation (STUSAB), characteristic iteration (CHARITER), and characteristic iteration

file sequence number (CIFSN).

How to Use This File 2–3

U.S. Census Bureau, Census 2000
See Figure 2–1 below for geographic header information for File 01 through File 38.

Figure 2–1a. File Set Structure Schematic — File Set for Total Characteristic Iteration

Geographic header file File 01 File 02 Files 03-38

Record 1

FILEID FILEID FILEID Link fields shown on Files 01

STUSAB STUSAB STUSAB and 02 are repeated for all files

CHARITER (000) CHARITER (001) CHARITER (001)

CIFSN (00) CIFSN (01) CIFSN (02)

LOGRECNO LOGRECNO LOGRECNO

(Record 1) (Record 1) (Record 1)

Remainder of geographic

header record for geographic

area x

Tables PCT1-PCT4

(220 cells)

Tables PCT5-PCT16

(249 cells)

See Figure 2–2 for distribution

of the tables across files

Record 2

FILEID FILEID FILEID Link fields shown on Files 01

STUSAB STUSAB STUSAB and 02 are repeated for all files

CHARITER (000) CHARITER (001) CHARITER (001)

CIFSN (00) CIFSN (01) CIFSN (02)

LOGRECNO LOGRECNO LOGRECNO

(Record 2) (Record 2) (Record 2)

Remainder of geographic

header record for geographic

area y

Tables PCT1-PCT4

(220 cells)

Tables PCT5-PCT16

(249 cells)

See Figure 2–2 for distribution

of the tables across files

Record 3

FILEID FILEID FILEID Link fields shown on Files 01

STUSAB STUSAB STUSAB and 02 are repeated for all files

CHARITER (000) CHARITER (001) CHARITER (001)

CIFSN (00) CIFSN (01) CIFSN (02)

LOGRECNO LOGRECNO LOGRECNO

(Record 3) (Record 3) (Record 3)

Remainder of geographic

header record for geographic

area z

Tables PCT1-PCT4

(220 cells)

Tables PCT5-PCT16

(249 cells)

See Figure 2–2 for distribution

of the tables across files

2–4 How to Use This File

U.S. Census Bureau, Census 2000
Figure 2–1b. File Set Structure Schematic — File Set for Black or African American

Characteristic Iteration

Geographic header file File 01 File 02 Files 03-38

Record 1

FILEID FILEID FILEID Link fields shown on Files 01

STUSAB STUSAB STUSAB and 02 are repeated for all files

CHARITER (000) CHARITER(004) CHARITER (004)

CIFSN (00) CIFSN (01) CIFSN (02)

LOGRECNO LOGRECNO LOGRECNO

(Record 1) (Record 1) (Record 1)

Remainder of geographic

header record for geographic

area x

Tables PCT1-PCT4

(220 cells)

Tables PCT5-PCT16

(249 cells)

See Figure 2–2 for distribution

of the tables across files

Record 2

FILEID FILEID FILEID Link fields shown on Files 01

STUSAB STUSAB STUSAB and 02 are repeated for all files

CHARITER (000) CHARITER (004) CHARITER (004)

CIFSN (00) CIFSN (01) CIFSN (02)

LOGRECNO LOGRECNO LOGRECNO

(Record 2) (Record 2) (Record 2)

Remainder of geographic

header record for geographic

area y

Tables PCT1-PCT4

(220 cells)

Tables PCT5-PCT16

(249 cells)

See Figure 2–2 for distribution

of the tables across files

Record 3

FILEID FILEID FILEID Link fields shown on filles 01

STUSAB STUSAB STUSAB are 02 are repeated for all files

CHARITER (000) CHARITER (004) CHARITER (004)

CIFSN (00) CIFSN (01) CIFSN (02)

LOGRECNO LOGRECNO LOGRECNO

(Record 3) (Record 3) (Record 3)

Geographic header record

for geographic area z

Tables PCT1- PCT4

(220 cells)

Tables PCT5-PCT16

(249 cells)

See Figure 2–2 for distribution

of tables across files

The geographic header record is standard across all electronic data products from Census 2000. It

is in a fixed field format as described in the data dictionary. However, when geographic header

fields are used to provide geographic linkage across files in files 01 through 38, they are in the

same format as the rest of the file—comma delimited.

Some header fields that appear in all 39 files (geographic header and 38 table files) are not used.

For example, the characteristic iteration (CHARITER) field is only used in Summary Files 2 and 4.

The presentation of SF 4 tables for any of the 336 population groups is subject to a population

threshold. That is, if there are fewer than 100 people (100 percent count) in a specific population

group in a specific geographic area, and there are fewer than 50 unweighted cases, their

population and housing characteristics data are not available for that geographic area in SF 4. For

the ancestry iterations, only the 50 unweighted cases test can be performed.

How to Use This File 2–5

U.S. Census Bureau, Census 2000
Figure 2–2. File/Table Segmentation

File name (CIFSN) Number of data items Starting matrix number Ending matrix number

stgeo.uf41

st00001.uf4 220 PCT1 PCT4

st00002.uf4 249 PCT5 PCT16

st00003.uf4 208 PCT17 PCT34

st00004.uf4 189 PCT35 PCT37

st00005.uf4 244 PCT38 PCT45

st00006.uf4 240 PCT46 PCT49

st00007.uf4 214 PCT50 PCT61

st00008.uf4 248 PCT62 PCT67

st00009.uf4 220 PCT68 PCT71

st00010.uf4 221 PCT72 PCT76

st00011.uf4 106 PCT77 PCT78

st00012.uf4 234 PCT79 PCT81

st00013.uf4 99 PCT82 PCT84

st00014.uf4 223 PCT85 PCT86(pt.)

st00015.uf4 237 PCT86(pt.)

st00016.uf4 250 PCT87 PCT103

st00017.uf4 207 PCT104 PCT120

st00018.uf4 185 PCT121 PCT131

st00019.uf4 157 PCT132 PCT137

st00020.uf4 213 PCT138 PCT143

st00021.uf4 144 PCT144

st00022.uf4 247 PCT145 PCT150

st00023.uf4 244 PCT151 PCT156

st00024.uf4 228 PCT157 PCT162

st00025.uf4 246 PCT163 PCT208

st00026.uf4 49 PCT209 PCT213

st00027.uf4 240 HCT1 HCT9

st00028.uf4 199 HCT10 HCT18

st00029.uf4 222 HCT19 HCT22

st00030.uf4 165 HCT23 HCT25

st00031.uf4 236 HCT26 HCT29

st00032.uf4 250 HCT30 HCT39

st00033.uf4 187 HCT40 HCT55

st00034.uf4 222 HCT56 HCT61

st00035.uf4 145 HCT62 HCT70

st00036.uf4 236 HCT71 HCT81

st00037.uf4 218 HCT82 HCT86

st00038.uf4 238 HCT87 HCT110

1

st represents the United States Postal Service two-character alphabetic state abbreviation.

USER UPDATES

The User Updates chapter (Chapter 9) informs data users about corrections, errata, and related

explanatory information. These updates provide information about unique characteristics,

changes, or corrections. Often this information becomes available too late to be reflected in the

tables (matrices) or related documentation.

Census 2000 Notes and Errata, which contains user updates for individual files as well as the

corrected counts issued by the Count Question Resolution program, is available on the Web site at

http://www.census.gov/prod/cen2000/notes/errata.pdf. User updates are also included in the

biweekly electronic newsletter, Census Product Update. To receive the newsletter by e-mail,

register at http://www.census.gov/mp/www/cpu.html, contact Customer Services Center,

Marketing Services Office, U.S. Census Bureau on 301-763-INFO (4636), or send e-mail to

webmaster@census.gov.

The User Updates chapter is included so that updated information provided from the Web site or

from Customer Services can be filed in a standard location.

2–6 How to Use This File

U.S. Census Bureau, Census 2000
Figure 2–3. Hierarchical Relationships of Census Geographic Structures

How to Use This File 2–7

U.S. Census Bureau, Census 2000
TRIBAL S

TRIBAL CE

TRIBAL BLO

COUNTY STATE American Indian Reservation and Off-Reservation Trust Land CENSUS TRACT 

American Indian Area/Alaska Native Area/Hawaiian Home Land Hierarchy

BLOCK GROUP 

American Indian Reservations (federal) 

Off-Reservation Trust Land

Oklahoma Tribal Statistical Areas

Tribal Designated Statistical Areas 

Hawaiian Home Lands 

American Indian Reservations (state) 

State Designated American Indian Statistical Areas 

Alaska Native Regional Corporations

Alaska Native Village Statistical Areas 

TRIBAL SUBDIVISION 

2–8 How to Use This File

U.S. Census Bureau, Census 2000
Figure 2–5. Geographic Header Record

Summary File 4 State File

Field

Data

dictionary

reference

name

Field

size

Starting

position

Data

type

Summary levels

040 050 060 067 070 080

RECORD CODES

File Identification . . . . . . . . . . . . . FILEID 6 1 A/N XXXXX X

State/US-Abbreviation (USPS) . STUSAB 2 7 AXXXXX X

Summary Level............... SUMLEV 3 9 N XXXXX X

Geographic Component ....... GEOCOMP 2 12 A/N XXXXX X

Characteristic Iteration ........ CHARITER 3 14 A/N XXXXX X

Characteristic Iteration File

Sequence Number. . . . . . . . . . . CIFSN 2 17 A/N XXXXX X

Logical Record Number ....... LOGRECNO 7 19 N XXXXX X

GEOGRAPHIC AREA CODES

Region ...................... REGION 1 26 A/N XXXXX X

Division. . . . . . . . . . . . . . . . . . . . . . DIVISION 1 27 A/N XXXXX X

State (Census) . . . . . . . . . . . . . . . STATECE 2 28 A/N XXXXX X

State (FIPS) . . . . . . . . . . . . . . . . . STATE 2 30 A/N XXXXX X

County ...................... COUNTY 3 32 A/N XXXX X

County Size Code ............ COUNTYSC 2 35 A/N XXXX X

County Subdivision (FIPS) ..... COUSUB 5 37 A/N X X X X

FIPS County Subdivision Class

Code....................... COUSUBCC 2 42 A/N X X X X

County Subdivision Size Code . COUSUBSC 2 44 A/N X X X X

Place (FIPS) . . . . . . . . . . . . . . . . . PLACE 5 46 A/N X X

FIPS Place Class Code ....... PLACECC 2 51 A/N X X

Place Description Code ....... PLACEDC 1 53 A/N XXXX X

Place Size Code.............. PLACESC 2 54 A/N X X

Census Tract................. TRACT 6 56 A/N X

Block Group . . . . . . . . . . . . . . . . . BLKGRP 1 62 A/N

Block. . . . . . . . . . . . . . . . . . . . . . . . BLOCK 4 63 A/N

Internal Use Code . . . . . . . . . . . . IUC 2 67 A/N

Consolidated City (FIPS) ...... CONCIT 5 69 A/N

FIPS Consolidated City Class

Code....................... CONCITCC 2 74 A/N

Consolidated City Size Code . . . CONCITSC 2 76 A/N

American Indian Area/Alaska

Native Area/Hawaiian Home

Land (Census) . . . . . . . . . . . . . . AIANHH 4 78 A/N

American Indian Area/Alaska

Native Area/Hawaiian Home

Land (FIPS). . . . . . . . . . . . . . . . . AIANHHFP 5 82 A/N

FIPS American Indian

Area/Alaska Native

Area/Hawaiian Home Land

Class Code . . . . . . . . . . . . . . . . . AIANHHCC 2 87 A/N

American Indian Trust

Land/Hawaiian Home Land

Indicator . . . . . . . . . . . . . . . . . . . . AIHHTLI 1 89 A/N

American Indian Tribal

Subdivision (Census) . . . . . . . . AITSCE 3 90 A/N

American Indian Tribal

Subdivision (FIPS). . . . . . . . . . . AITS 5 93 A/N

FIPS American Indian Tribal

Subdivision Class Code . . . . . . AITSCC 2 98 A/N

Alaska Native Regional

Corporation (FIPS). . . . . . . . . . . ANRC 5 100 A/N

FIPS Alaska Native Regional

Corporation Class Code ...... ANRCCC 2 105 A/N

Metropolitan Statistical

Area/Consolidated

Metropolitan Statistical Area . . MSACMSA 4 107 A/N XXXX X

MSA/CMSA Size Code ........ MASC 2 111 A/N XXXX X

Consolidated Metropolitan

Statistical Area .............. CMSA 2 113 A/N XXXX X

How to Use This File 2–9

U.S. Census Bureau, Census 2000
Figure 2–5. Geographic Header Record—Con.

Summary File 4 State File—Con.

Field

Data

dictionary

reference

name

Field

size

Starting

position

Data

type

Summary levels

040 050 060 067 070 080

Metropolitan Area Central City

Indicator . . . . . . . . . . . . . . . . . . . . MACCI 1 115 A/N XXXX X

Primary Metropolitan Statistical

Area . . . . . . . . . . . . . . . . . . . . . . . PMSA 4 116 A/N XXXX X

New England County

Metropolitan Area............ NECMA 4 120 A/N XXXX X

New England County

Metropolitan Area Central City

Indicator . . . . . . . . . . . . . . . . . . . . NECMACCI 1 124 A/N XXXX X

New England County

Metropolitan Area Size Code. . NECMASC 2 125 A/N XXXX X

Extended Place Indicator . . . . . . EXI 1 127 A/N X

Urban Area . . . . . . . . . . . . . . . . . . UA 5 128 A/N

Urban Area Size Code ........ UASC 2 133 A/N

Urban Area Type . . . . . . . . . . . . . UATYPE 1 135 A/N

Urban/Rural . . . . . . . . . . . . . . . . . . UR 1 136 A/N

Congressional District (106th) . . CD106 2 137 A/N

Congressional District (108th) . . CD108 2 139 A/N

Congressional District (109th) . . CD109 2 141 A/N

Congressional District (110th) . . CD110 2 143 A/N

State Legislative District (Upper

Chamber)................... SLDU 3 145 A/N

State Legislative District (Lower

Chamber)................... SLDL 3 148 A/N

Voting District . . . . . . . . . . . . . . . . VTD 6 151 A/N

Voting District Indicator ........ VTDI 1 157 A/N

ZIP Code Tabulation Area

(3 digit). . . . . . . . . . . . . . . . . . . . . ZCTA3 3 158 A/N

ZIP Code Tabulation Area

(5 digit). . . . . . . . . . . . . . . . . . . . . ZCTA5 5 161 A/N

Subbarrio (FIPS) ............. SUBMCD 5 166 A/N X

FIPS Subbarrio Class Code.... SUBMCDCC 2 171 A/N X

AREA CHARACTERISTICS

Area (Land) .................. AREALAND 14 173 A/N XXXXX X

Area (Water) . . . . . . . . . . . . . . . . . AREAWATR 14 187 A/N X X X X X X

Area Name – Legal/Statistical

Area Description (LSAD)

Term – Part Indicator. . . . . . . . . NAME 90 201 A/N XXXXX X

Functional Status Code........ FUNCSTAT 1 291 A/N XXXXX X

Geographic Change User Note

Indicator . . . . . . . . . . . . . . . . . . . . GCUNI 1 292 A/N XXXXX

Population Count (100%) ...... POP100 9 293 A/N XXXXX X

Housing Unit Count (100%) .... HU100 9 302 A/N XXXXX X

Internal Point (Latitude)........ INTPTLAT 9 311 A/N XXXXX X

Internal Point (Longitude) ...... INTPTLON 10 320 A/N XXXXX X

Legal/Statistical Area

Description Code ............ LSADC 2 330 A/N XXXXX

Part Flag . . . . . . . . . . . . . . . . . . . . PARTFLAG 1 332 A/N X X

SPECIAL AREA CODES

School District (Elementary).... SDELM 5 333 A/N

School District (Secondary) .... SDSEC 5 338 A/N

School District (Unified) ....... SDUNI 5 343 A/N

Traffic Analysis Zone . . . . . . . . . . TAZ 6 348 A/N

Oregon Urban Growth Area . . . . UGA 5 354 A/N

Public Use Microdata Area –

5% File. . . . . . . . . . . . . . . . . . . . . PUMA5 5 359 A/N

Public Use Microdata Area –

1% File. . . . . . . . . . . . . . . . . . . . . PUMA1 5 364 A/N

Reserved . . . . . . . . . . . . . . . . . . . . RESERVE2 15 369 A/N

Metropolitan Area Central City. . MACC 5 384 A/N

Urban Area Central Place. . . . . . UACP 5 389 A/N

Reserved . . . . . . . . . . . . . . . . . . . . RESERVED 7 394 A/N

2–10 How to Use This File

U.S. Census Bureau, Census 2000
Figure 2–5. Geographic Header Record—Con.

Summary File 4 State File—Con.

Field

Data

dictionary

reference

name

Field

size

Starting

position

Data

type

Summary levels

140 144 155 158

RECORD CODES

File Identification . . . . . . . . . . . . . FILEID 6 1 A/N X X X X

State/US-Abbreviation (USPS) . STUSAB 2 7 AXXX X

Summary Level............... SUMLEV 3 9 N X X X X

Geographic Component ....... GEOCOMP 2 12 A/N X X X X

Characteristic Iteration ........ CHARITER 3 14 A/N X X X X

Characteristic Iteration File

Sequence Number. . . . . . . . . . . CIFSN 2 17 A/N X X X X

Logical Record Number ....... LOGRECNO 7 19 N X X X X

GEOGRAPHIC AREA CODES

Region ...................... REGION 1 26 A/N X X X X

Division. . . . . . . . . . . . . . . . . . . . . . DIVISION 1 27 A/N X X X X

State (Census) . . . . . . . . . . . . . . . STATECE 2 28 A/N X X X X

State (FIPS) . . . . . . . . . . . . . . . . . STATE 2 30 A/N X X X X

County ...................... COUNTY 3 32 A/N X X X X

County Size Code ............ COUNTYSC 2 35 A/N X X X X

County Subdivision (FIPS) ..... COUSUB 5 37 A/N

FIPS County Subdivision Class

Code....................... COUSUBCC 2 42 A/N

County Subdivision Size Code . COUSUBSC 2 44 A/N

Place (FIPS) . . . . . . . . . . . . . . . . . PLACE 5 46 A/N X X

FIPS Place Class Code ....... PLACECC 2 51 A/N X X

Place Description Code ....... PLACEDC 1 53 A/N X X X X

Place Size Code.............. PLACESC 2 54 A/N X X

Census Tract................. TRACT 6 56 A/N X X X

Block Group . . . . . . . . . . . . . . . . . BLKGRP 1 62 A/N

Block. . . . . . . . . . . . . . . . . . . . . . . . BLOCK 4 63 A/N

Internal Use Code . . . . . . . . . . . . IUC 2 67 A/N

Consolidated City (FIPS) ...... CONCIT 5 69 A/N

FIPS Consolidated City Class

Code....................... CONCITCC 2 74 A/N

Consolidated City Size Code . . . CONCITSC 2 76 A/N

American Indian Area/Alaska

Native Area/Hawaiian Home

Land (Census) . . . . . . . . . . . . . . AIANHH 4 78 A/N X

American Indian Area/Alaska

Native Area/Hawaiian Home

Land (FIPS). . . . . . . . . . . . . . . . . AIANHHFP 5 82 A/N X

FIPS American Indian

Area/Alaska Native

Area/Hawaiian Home Land

Class Code . . . . . . . . . . . . . . . . . AIANHHCC 2 87 A/N X

American Indian Trust

Land/Hawaiian Home Land

Indicator . . . . . . . . . . . . . . . . . . . . AIHHTLI 1 89 A/N X

American Indian Tribal

Subdivision (Census) . . . . . . . . AITSCE 3 90 A/N

American Indian Tribal

Subdivision (FIPS). . . . . . . . . . . AITS 5 93 A/N

FIPS American Indian Tribal

Subdivision Class Code . . . . . . AITSCC 2 98 A/N

Alaska Native Regional

Corporation (FIPS). . . . . . . . . . . ANRC 5 100 A/N

FIPS Alaska Native Regional

Corporation Class Code ...... ANRCCC 2 105 A/N

Metropolitan Statistical

Area/Consolidated

Metropolitan Statistical Area . . MSACMSA 4 107 A/N X X X X

MSA/CMSA Size Code ........ MASC 2 111 A/N X X X X

Consolidated Metropolitan

Statistical Area .............. CMSA 2 113 A/N X X X X

How to Use This File 2–11

U.S. Census Bureau, Census 2000
Figure 2–5. Geographic Header Record—Con.

Summary File 4 State File—Con.

Field

Data

dictionary

reference

name

Field

size

Starting

position

Data

type

Summary levels

140 144 155 158

Metropolitan Area Central City

Indicator . . . . . . . . . . . . . . . . . . . . MACCI 1 115 A/N X X X X

Primary Metropolitan Statistical

Area . . . . . . . . . . . . . . . . . . . . . . . PMSA 4 116 A/N X X X X

New England County

Metropolitan Area............ NECMA 4 120 A/N X X X X

New England County

Metropolitan Area Central City

Indicator . . . . . . . . . . . . . . . . . . . . NECMACCI 1 124 A/N X X X X

New England County

Metropolitan Area Size Code. . NECMASC 2 125 A/N X X X X

Extended Place Indicator . . . . . . EXI 1 127 A/N

Urban Area . . . . . . . . . . . . . . . . . . UA 5 128 A/N

Urban Area Size Code ........ UASC 2 133 A/N

Urban Area Type . . . . . . . . . . . . . UATYPE 1 135 A/N

Urban/Rural . . . . . . . . . . . . . . . . . . UR 1 136 A/N

Congressional District (106th) . . CD106 2 137 A/N

Congressional District (108th) . . CD108 2 139 A/N

Congressional District (109th) . . CD109 2 141 A/N

Congressional District (110th) . . CD110 2 143 A/N

State Legislative District (Upper

Chamber)................... SLDU 3 145 A/N

State Legislative District (Lower

Chamber)................... SLDL 3 148 A/N

Voting District . . . . . . . . . . . . . . . . VTD 6 151 A/N

Voting District Indicator ........ VTDI 1 157 A/N

ZIP Code Tabulation Area

(3 digit). . . . . . . . . . . . . . . . . . . . . ZCTA3 3 158 A/N

ZIP Code Tabulation Area

(5 digit). . . . . . . . . . . . . . . . . . . . . ZCTA5 5 161 A/N

Subbarrio (FIPS) ............. SUBMCD 5 166 A/N

FIPS Subbarrio Class Code.... SUBMCDCC 2 171 A/N

AREA CHARACTERISTICS

Area (Land) .................. AREALAND 14 173 A/N X X X X

Area (Water) . . . . . . . . . . . . . . . . . AREAWATR 14 187 A/N X X X X

Area Name – Legal/Statistical

Area Description (LSAD)

Term – Part Indicator. . . . . . . . . NAME 90 201 A/N X X X X

Functional Status Code........ FUNCSTAT 1 291 A/N X X X X

Geographic Change User Note

Indicator . . . . . . . . . . . . . . . . . . . . GCUNI 1 292 A/N X X

Population Count (100%) ...... POP100 9 293 A/N X X X X

Housing Unit Count (100%) .... HU100 9 302 A/N X X X X

Internal Point (Latitude)........ INTPTLAT 9 311 A/N X X X X

Internal Point (Longitude) ...... INTPTLON 10 320 A/N X X X X

Legal/Statistical Area

Description Code ............ LSADC 2 330 A/N X X

Part Flag . . . . . . . . . . . . . . . . . . . . PARTFLAG 1 332 A/N X X X

SPECIAL AREA CODES

School District (Elementary).... SDELM 5 333 A/N

School District (Secondary) .... SDSEC 5 338 A/N

School District (Unified) ....... SDUNI 5 343 A/N

Traffic Analysis Zone . . . . . . . . . . TAZ 6 348 A/N

Oregon Urban Growth Area . . . . UGA 5 354 A/N

Public Use Microdata Area –

5% File. . . . . . . . . . . . . . . . . . . . . PUMA5 5 359 A/N

Public Use Microdata Area –

1% File. . . . . . . . . . . . . . . . . . . . . PUMA1 5 364 A/N

Reserved . . . . . . . . . . . . . . . . . . . . RESERVE2 15 369 A/N

Metropolitan Area Central City. . MACC 5 384 A/N

Urban Area Central Place. . . . . . UACP 5 389 A/N

Reserved . . . . . . . . . . . . . . . . . . . . RESERVED 7 394 A/N

2–12 How to Use This File

U.S. Census Bureau, Census 2000
Figure 2–5. Geographic Header Record—Con.

Summary File 4 State File—Con.

Field

Data

dictionary

reference

name

Field

size

Starting

position

Data

type

Summary levels

160 170 172 230

RECORD CODES

File Identification . . . . . . . . . . . . . FILEID 6 1 A/N X X X X

State/US-Abbreviation (USPS) . STUSAB 2 7 AXXX X

Summary Level............... SUMLEV 3 9 N X X X X

Geographic Component ....... GEOCOMP 2 12 A/N X X X X

Characteristic Iteration ........ CHARITER 3 14 A/N X X X X

Characteristic Iteration File

Sequence Number. . . . . . . . . . . CIFSN 2 17 A/N X X X X

Logical Record Number ....... LOGRECNO 7 19 N X X X X

GEOGRAPHIC AREA CODES

Region ...................... REGION 1 26 A/N X X X X

Division. . . . . . . . . . . . . . . . . . . . . . DIVISION 1 27 A/N X X X X

State (Census) . . . . . . . . . . . . . . . STATECE 2 28 A/N X X X X

State (FIPS) . . . . . . . . . . . . . . . . . STATE 2 30 A/N X X X X

County ...................... COUNTY 3 32 A/N

County Size Code ............ COUNTYSC 2 35 A/N

County Subdivision (FIPS) ..... COUSUB 5 37 A/N

FIPS County Subdivision Class

Code....................... COUSUBCC 2 42 A/N

County Subdivision Size Code . COUSUBSC 2 44 A/N

Place (FIPS) . . . . . . . . . . . . . . . . . PLACE 5 46 A/N X X

FIPS Place Class Code ....... PLACECC 2 51 A/N X X

Place Description Code ....... PLACEDC 1 53 A/N X X X

Place Size Code.............. PLACESC 2 54 A/N X X

Census Tract................. TRACT 6 56 A/N

Block Group . . . . . . . . . . . . . . . . . BLKGRP 1 62 A/N

Block. . . . . . . . . . . . . . . . . . . . . . . . BLOCK 4 63 A/N

Internal Use Code . . . . . . . . . . . . IUC 2 67 A/N

Consolidated City (FIPS) ...... CONCIT 5 69 A/N X X

FIPS Consolidated City Class

Code....................... CONCITCC 2 74 A/N X X

Consolidated City Size Code . . . CONCITSC 2 76 A/N X X

American Indian Area/Alaska

Native Area/Hawaiian Home

Land (Census) . . . . . . . . . . . . . . AIANHH 4 78 A/N

American Indian Area/Alaska

Native Area/Hawaiian Home

Land (FIPS). . . . . . . . . . . . . . . . . AIANHHFP 5 82 A/N

FIPS American Indian

Area/Alaska Native

Area/Hawaiian Home Land

Class Code . . . . . . . . . . . . . . . . . AIANHHCC 2 87 A/N

American Indian Trust

Land/Hawaiian Home Land

Indicator . . . . . . . . . . . . . . . . . . . . AIHHTLI 1 89 A/N

American Indian Tribal

Subdivision (Census) . . . . . . . . AITSCE 3 90 A/N

American Indian Tribal

Subdivision (FIPS). . . . . . . . . . . AITS 5 93 A/N

FIPS American Indian Tribal

Subdivision Class Code . . . . . . AITSCC 2 98 A/N

Alaska Native Regional

Corporation (FIPS). . . . . . . . . . . ANRC 5 100 A/N X

FIPS Alaska Native Regional

Corporation Class Code ...... ANRCCC 2 105 A/N X

Metropolitan Statistical

Area/Consolidated

Metropolitan Statistical Area . . MSACMSA 4 107 A/N X X X

MSA/CMSA Size Code ........ MASC 2 111 A/N X X X

Consolidated Metropolitan

Statistical Area .............. CMSA 2 113 A/N X X X

How to Use This File 2–13

U.S. Census Bureau, Census 2000
Figure 2–5. Geographic Header Record—Con.

Summary File 4 State File—Con.

Field

Data

dictionary

reference

name

Field

size

Starting

position

Data

type

Summary levels

160 170 172 230

Metropolitan Area Central City

Indicator . . . . . . . . . . . . . . . . . . . . MACCI 1 115 A/N X X X

Primary Metropolitan Statistical

Area . . . . . . . . . . . . . . . . . . . . . . . PMSA 4 116 A/N X X X

New England County

Metropolitan Area............ NECMA 4 120 A/N X X X

New England County

Metropolitan Area Central City

Indicator . . . . . . . . . . . . . . . . . . . . NECMACCI 1 124 A/N X X X

New England County

Metropolitan Area Size Code. . NECMASC 2 125 A/N X X X

Extended Place Indicator . . . . . . EXI 1 127 A/N X X X

Urban Area . . . . . . . . . . . . . . . . . . UA 5 128 A/N

Urban Area Size Code ........ UASC 2 133 A/N

Urban Area Type . . . . . . . . . . . . . UATYPE 1 135 A/N

Urban/Rural . . . . . . . . . . . . . . . . . . UR 1 136 A/N

Congressional District (106th) . . CD106 2 137 A/N

Congressional District (108th) . . CD108 2 139 A/N

Congressional District (109th) . . CD109 2 141 A/N

Congressional District (110th) . . CD110 2 143 A/N

State Legislative District (Upper

Chamber)................... SLDU 3 145 A/N

State Legislative District (Lower

Chamber)................... SLDL 3 148 A/N

Voting District . . . . . . . . . . . . . . . . VTD 6 151 A/N

Voting District Indicator ........ VTDI 1 157 A/N

ZIP Code Tabulation Area

(3 digit). . . . . . . . . . . . . . . . . . . . . ZCTA3 3 158 A/N

ZIP Code Tabulation Area

(5 digit). . . . . . . . . . . . . . . . . . . . . ZCTA5 5 161 A/N

Subbarrio (FIPS) ............. SUBMCD 5 166 A/N

FIPS Subbarrio Class Code.... SUBMCDCC 2 171 A/N

AREA CHARACTERISTICS

Area (Land) .................. AREALAND 14 173 A/N X X X X

Area (Water) . . . . . . . . . . . . . . . . . AREAWATR 14 187 A/N X X X X

Area Name – Legal/Statistical

Area Description (LSAD)

Term – Part Indicator. . . . . . . . . NAME 90 201 A/N X X X X

Functional Status Code........ FUNCSTAT 1 291 A/N X X X X

Geographic Change User Note

Indicator . . . . . . . . . . . . . . . . . . . . GCUNI 1 292 A/N X X X X

Population Count (100%) ...... POP100 9 293 A/N X X X X

Housing Unit Count (100%) .... HU100 9 302 A/N X X X X

Internal Point (Latitude)........ INTPTLAT 9 311 A/N X X X X

Internal Point (Longitude) ...... INTPTLON 10 320 A/N X X X X

Legal/Statistical Area

Description Code ............ LSADC 2 330 A/N X X X X

Part Flag . . . . . . . . . . . . . . . . . . . . PARTFLAG 1 332 A/N X

SPECIAL AREA CODES

School District (Elementary).... SDELM 5 333 A/N

School District (Secondary) .... SDSEC 5 338 A/N

School District (Unified) ....... SDUNI 5 343 A/N

Traffic Analysis Zone . . . . . . . . . . TAZ 6 348 A/N

Oregon Urban Growth Area . . . . UGA 5 354 A/N

Public Use Microdata Area –

5% File. . . . . . . . . . . . . . . . . . . . . PUMA5 5 359 A/N

Public Use Microdata Area –

1% File. . . . . . . . . . . . . . . . . . . . . PUMA1 5 364 A/N

Reserved . . . . . . . . . . . . . . . . . . . . RESERVE2 15 369 A/N

Metropolitan Area Central City. . MACC 5 384 A/N

Urban Area Central Place. . . . . . UACP 5 389 A/N

Reserved . . . . . . . . . . . . . . . . . . . . RESERVED 7 394 A/N

2–14 How to Use This File

U.S. Census Bureau, Census 2000
Figure 2–5. Geographic Header Record—Con.

Summary File 4 State File—Con.

Field

Data

dictionary

reference

name

Field

size

Starting

position

Data

type

Summary levels

261 263 265 266 267 268

RECORD CODES

File Identification . . . . . . . . . . . . . FILEID 6 1 A/N XXXXX X

State/US-Abbreviation (USPS) . STUSAB 2 7 AXXXXX X

Summary Level............... SUMLEV 3 9 N XXXXX X

Geographic Component ....... GEOCOMP 2 12 A/N XXXXX X

Characteristic Iteration ........ CHARITER 3 14 A/N XXXXX X

Characteristic Iteration File

Sequence Number. . . . . . . . . . . CIFSN 2 17 A/N XXXXX X

Logical Record Number ....... LOGRECNO 7 19 N XXXXX X

GEOGRAPHIC AREA CODES

Region ...................... REGION 1 26 A/N XXXXX X

Division. . . . . . . . . . . . . . . . . . . . . . DIVISION 1 27 A/N XXXXX X

State (Census) . . . . . . . . . . . . . . . STATECE 2 28 A/N XXXXX X

State (FIPS) . . . . . . . . . . . . . . . . . STATE 2 30 A/N XXXXX X

County ...................... COUNTY 3 32 A/N XXXXX X

County Size Code ............ COUNTYSC 2 35 A/N XXXXX X

County Subdivision (FIPS) ..... COUSUB 5 37 A/N XXXXX X

FIPS County Subdivision Class

Code....................... COUSUBCC 2 42 A/N XXXXX X

County Subdivision Size Code . COUSUBSC 2 44 A/N XXXXX X

Place (FIPS) . . . . . . . . . . . . . . . . . PLACE 5 46 A/N X X X

FIPS Place Class Code ....... PLACECC 2 51 A/N X X X

Place Description Code ....... PLACEDC 1 53 A/N XXXXX X

Place Size Code.............. PLACESC 2 54 A/N X X X

Census Tract................. TRACT 6 56 A/N

Block Group . . . . . . . . . . . . . . . . . BLKGRP 1 62 A/N

Block. . . . . . . . . . . . . . . . . . . . . . . . BLOCK 4 63 A/N

Internal Use Code . . . . . . . . . . . . IUC 2 67 A/N

Consolidated City (FIPS) ...... CONCIT 5 69 A/N

FIPS Consolidated City Class

Code....................... CONCITCC 2 74 A/N

Consolidated City Size Code . . . CONCITSC 2 76 A/N

American Indian Area/Alaska

Native Area/Hawaiian Home

Land (Census) . . . . . . . . . . . . . . AIANHH 4 78 A/N XXXXX X

American Indian Area/Alaska

Native Area/Hawaiian Home

Land (FIPS). . . . . . . . . . . . . . . . . AIANHHFP 5 82 A/N XXXXX X

FIPS American Indian

Area/Alaska Native

Area/Hawaiian Home Land

Class Code . . . . . . . . . . . . . . . . . AIANHHCC 2 87 A/N XXXXX X

American Indian Trust

Land/Hawaiian Home Land

Indicator . . . . . . . . . . . . . . . . . . . . AIHHTLI 1 89 A/N XXXXX X

American Indian Tribal

Subdivision (Census) . . . . . . . . AITSCE 3 90 A/N

American Indian Tribal

Subdivision (FIPS). . . . . . . . . . . AITS 5 93 A/N

FIPS American Indian Tribal

Subdivision Class Code . . . . . . AITSCC 2 98 A/N

Alaska Native Regional

Corporation (FIPS). . . . . . . . . . . ANRC 5 100 A/N

FIPS Alaska Native Regional

Corporation Class Code ...... ANRCCC 2 105 A/N

Metropolitan Statistical

Area/Consolidated

Metropolitan Statistical Area . . MSACMSA 4 107 A/N XXXXX X

MSA/CMSA Size Code ........ MASC 2 111 A/N XXXXX X

Consolidated Metropolitan

Statistical Area .............. CMSA 2 113 A/N XXXXX X

How to Use This File 2–15

U.S. Census Bureau, Census 2000
Figure 2–5. Geographic Header Record—Con.

Summary File 4 State File—Con.

Field

Data

dictionary

reference

name

Field

size

Starting

position

Data

type

Summary levels

261 263 265 266 267 268

Metropolitan Area Central City

Indicator . . . . . . . . . . . . . . . . . . . . MACCI 1 115 A/N XXXXX X

Primary Metropolitan Statistical

Area . . . . . . . . . . . . . . . . . . . . . . . PMSA 4 116 A/N XXXXX X

New England County

Metropolitan Area............ NECMA 4 120 A/N XXXXX X

New England County

Metropolitan Area Central City

Indicator . . . . . . . . . . . . . . . . . . . . NECMACCI 1 124 A/N XXXXX X

New England County

Metropolitan Area Size Code. . NECMASC 2 125 A/N XXXXX X

Extended Place Indicator . . . . . . EXI 1 127 A/N X X X

Urban Area . . . . . . . . . . . . . . . . . . UA 5 128 A/N

Urban Area Size Code ........ UASC 2 133 A/N

Urban Area Type . . . . . . . . . . . . . UATYPE 1 135 A/N

Urban/Rural . . . . . . . . . . . . . . . . . . UR 1 136 A/N

Congressional District (106th) . . CD106 2 137 A/N

Congressional District (108th) . . CD108 2 139 A/N

Congressional District (109th) . . CD109 2 141 A/N

Congressional District (110th) . . CD110 2 143 A/N

State Legislative District (Upper

Chamber)................... SLDU 3 145 A/N

State Legislative District (Lower

Chamber)................... SLDL 3 148 A/N

Voting District . . . . . . . . . . . . . . . . VTD 6 151 A/N

Voting District Indicator ........ VTDI 1 157 A/N

ZIP Code Tabulation Area

(3 digit). . . . . . . . . . . . . . . . . . . . . ZCTA3 3 158 A/N

ZIP Code Tabulation Area

(5 digit). . . . . . . . . . . . . . . . . . . . . ZCTA5 5 161 A/N

Subbarrio (FIPS) ............. SUBMCD 5 166 A/N

FIPS Subbarrio Class Code.... SUBMCDCC 2 171 A/N

AREA CHARACTERISTICS

Area (Land) .................. AREALAND 14 173 A/N XXXXX X

Area (Water) . . . . . . . . . . . . . . . . . AREAWATR 14 187 A/N X X X X X X

Area Name – Legal/Statistical

Area Description (LSAD)

Term – Part Indicator. . . . . . . . . NAME 90 201 A/N XXXXX X

Functional Status Code........ FUNCSTAT 1 291 A/N XXXXX X

Geographic Change User Note

Indicator . . . . . . . . . . . . . . . . . . . . GCUNI 1 292 A/N XXXXX X

Population Count (100%) ...... POP100 9 293 A/N XXXXX X

Housing Unit Count (100%) .... HU100 9 302 A/N XXXXX X

Internal Point (Latitude)........ INTPTLAT 9 311 A/N XXXXX X

Internal Point (Longitude) ...... INTPTLON 10 320 A/N XXXXX X

Legal/Statistical Area

Description Code ............ LSADC 2 330 A/N XXXXX X

Part Flag . . . . . . . . . . . . . . . . . . . . PARTFLAG 1 332 A/N XXXXX X

SPECIAL AREA CODES

School District (Elementary).... SDELM 5 333 A/N

School District (Secondary) .... SDSEC 5 338 A/N

School District (Unified) ....... SDUNI 5 343 A/N

Traffic Analysis Zone . . . . . . . . . . TAZ 6 348 A/N

Oregon Urban Growth Area . . . . UGA 5 354 A/N

Public Use Microdata Area –

5% File. . . . . . . . . . . . . . . . . . . . . PUMA5 5 359 A/N

Public Use Microdata Area –

1% File. . . . . . . . . . . . . . . . . . . . . PUMA1 5 364 A/N

Reserved . . . . . . . . . . . . . . . . . . . . RESERVE2 15 369 A/N

Metropolitan Area Central City. . MACC 5 384 A/N

Urban Area Central Place. . . . . . UACP 5 389 A/N

Reserved . . . . . . . . . . . . . . . . . . . . RESERVED 7 394 A/N

2–16 How to Use This File

U.S. Census Bureau, Census 2000
Figure 2–5. Geographic Header Record—Con.

Summary File 4 State File—Con.

Field

Data

dictionary

reference

name

Field

size

Starting

position

Data

type

Summary levels

280 281 282 283 284 285

RECORD CODES

File Identification . . . . . . . . . . . . . FILEID 6 1 A/N XXXXX X

State/US-Abbreviation (USPS) . STUSAB 2 7 AXXXXX X

Summary Level............... SUMLEV 3 9 N XXXXX X

Geographic Component ....... GEOCOMP 2 12 A/N XXXXX X

Characteristic Iteration ........ CHARITER 3 14 A/N XXXXX X

Characteristic Iteration File

Sequence Number. . . . . . . . . . . CIFSN 2 17 A/N XXXXX X

Logical Record Number ....... LOGRECNO 7 19 N XXXXX X

GEOGRAPHIC AREA CODES

Region ...................... REGION 1 26 A/N XXXXX X

Division. . . . . . . . . . . . . . . . . . . . . . DIVISION 1 27 A/N XXXXX X

State (Census) . . . . . . . . . . . . . . . STATECE 2 28 A/N XXXXX X

State (FIPS) . . . . . . . . . . . . . . . . . STATE 2 30 A/N XXXXX X

County ...................... COUNTY 3 32 A/N X X

County Size Code ............ COUNTYSC 2 35 A/N X X

County Subdivision (FIPS) ..... COUSUB 5 37 A/N

FIPS County Subdivision Class

Code....................... COUSUBCC 2 42 A/N

County Subdivision Size Code . COUSUBSC 2 44 A/N

Place (FIPS) . . . . . . . . . . . . . . . . . PLACE 5 46 A/N

FIPS Place Class Code ....... PLACECC 2 51 A/N

Place Description Code ....... PLACEDC 1 53 A/N X X

Place Size Code.............. PLACESC 2 54 A/N

Census Tract................. TRACT 6 56 A/N

Block Group . . . . . . . . . . . . . . . . . BLKGRP 1 62 A/N

Block. . . . . . . . . . . . . . . . . . . . . . . . BLOCK 4 63 A/N

Internal Use Code . . . . . . . . . . . . IUC 2 67 A/N

Consolidated City (FIPS) ...... CONCIT 5 69 A/N

FIPS Consolidated City Class

Code....................... CONCITCC 2 74 A/N

Consolidated City Size Code . . . CONCITSC 2 76 A/N

American Indian Area/Alaska

Native Area/Hawaiian Home

Land (Census) . . . . . . . . . . . . . . AIANHH 4 78 A/N XXXXX X

American Indian Area/Alaska

Native Area/Hawaiian Home

Land (FIPS). . . . . . . . . . . . . . . . . AIANHHFP 5 82 A/N XXXXX X

FIPS American Indian

Area/Alaska Native

Area/Hawaiian Home Land

Class Code . . . . . . . . . . . . . . . . . AIANHHCC 2 87 A/N XXXXX X

American Indian Trust

Land/Hawaiian Home Land

Indicator . . . . . . . . . . . . . . . . . . . . AIHHTLI 1 89 A/N XXXXX X

American Indian Tribal

Subdivision (Census) . . . . . . . . AITSCE 3 90 A/N X X

American Indian Tribal

Subdivision (FIPS). . . . . . . . . . . AITS 5 93 A/N X X

FIPS American Indian Tribal

Subdivision Class Code . . . . . . AITSCC 2 98 A/N X X

Alaska Native Regional

Corporation (FIPS). . . . . . . . . . . ANRC 5 100 A/N

FIPS Alaska Native Regional

Corporation Class Code ...... ANRCCC 2 105 A/N

Metropolitan Statistical

Area/Consolidated

Metropolitan Statistical Area . . MSACMSA 4 107 A/N X X

MSA/CMSA Size Code ........ MASC 2 111 A/N X X

Consolidated Metropolitan

Statistical Area .............. CMSA 2 113 A/N X X

How to Use This File 2–17

U.S. Census Bureau, Census 2000
Figure 2–5. Geographic Header Record—Con.

Summary File 4 State File—Con.

Field

Data

dictionary

reference

name

Field

size

Starting

position

Data

type

Summary levels

280 281 282 283 284 285

Metropolitan Area Central City

Indicator . . . . . . . . . . . . . . . . . . . . MACCI 1 115 A/N X X

Primary Metropolitan Statistical

Area . . . . . . . . . . . . . . . . . . . . . . . PMSA 4 116 A/N X X

New England County

Metropolitan Area............ NECMA 4 120 A/N X X

New England County

Metropolitan Area Central City

Indicator . . . . . . . . . . . . . . . . . . . . NECMACCI 1 124 A/N X X

New England County

Metropolitan Area Size Code. . NECMASC 2 125 A/N X X

Extended Place Indicator . . . . . . EXI 1 127 A/N

Urban Area . . . . . . . . . . . . . . . . . . UA 5 128 A/N

Urban Area Size Code ........ UASC 2 133 A/N

Urban Area Type . . . . . . . . . . . . . UATYPE 1 135 A/N

Urban/Rural . . . . . . . . . . . . . . . . . . UR 1 136 A/N

Congressional District (106th) . . CD106 2 137 A/N

Congressional District (108th) . . CD108 2 139 A/N

Congressional District (109th) . . CD109 2 141 A/N

Congressional District (110th) . . CD110 2 143 A/N

State Legislative District (Upper

Chamber)................... SLDU 3 145 A/N

State Legislative District (Lower

Chamber)................... SLDL 3 148 A/N

Voting District . . . . . . . . . . . . . . . . VTD 6 151 A/N

Voting District Indicator ........ VTDI 1 157 A/N

ZIP Code Tabulation Area

(3 digit). . . . . . . . . . . . . . . . . . . . . ZCTA3 3 158 A/N

ZIP Code Tabulation Area

(5 digit). . . . . . . . . . . . . . . . . . . . . ZCTA5 5 161 A/N

Subbarrio (FIPS) ............. SUBMCD 5 166 A/N

FIPS Subbarrio Class Code.... SUBMCDCC 2 171 A/N

AREA CHARACTERISTICS

Area (Land) .................. AREALAND 14 173 A/N XXXXX X

Area (Water) . . . . . . . . . . . . . . . . . AREAWATR 14 187 A/N X X X X X X

Area Name – Legal/Statistical

Area Description (LSAD)

Term – Part Indicator. . . . . . . . . NAME 90 201 A/N XXXXX X

Functional Status Code........ FUNCSTAT 1 291 A/N XXXXX X

Geographic Change User Note

Indicator . . . . . . . . . . . . . . . . . . . . GCUNI 1 292 A/N XXXXX X

Population Count (100%) ...... POP100 9 293 A/N XXXXX X

Housing Unit Count (100%) .... HU100 9 302 A/N XXXXX X

Internal Point (Latitude)........ INTPTLAT 9 311 A/N XXXXX X

Internal Point (Longitude) ...... INTPTLON 10 320 A/N XXXXX X

Legal/Statistical Area

Description Code ............ LSADC 2 330 A/N XXXXX X

Part Flag . . . . . . . . . . . . . . . . . . . . PARTFLAG 1 332 A/N XXXXX X

SPECIAL AREA CODES

School District (Elementary).... SDELM 5 333 A/N

School District (Secondary) .... SDSEC 5 338 A/N

School District (Unified) ....... SDUNI 5 343 A/N

Traffic Analysis Zone . . . . . . . . . . TAZ 6 348 A/N

Oregon Urban Growth Area . . . . UGA 5 354 A/N

Public Use Microdata Area –

5% File. . . . . . . . . . . . . . . . . . . . . PUMA5 5 359 A/N

Public Use Microdata Area –

1% File. . . . . . . . . . . . . . . . . . . . . PUMA1 5 364 A/N

Reserved . . . . . . . . . . . . . . . . . . . . RESERVE2 15 369 A/N

Metropolitan Area Central City. . MACC 5 384 A/N

Urban Area Central Place. . . . . . UACP 5 389 A/N

Reserved . . . . . . . . . . . . . . . . . . . . RESERVED 7 394 A/N

2–18 How to Use This File

U.S. Census Bureau, Census 2000
Figure 2–5. Geographic Header Record—Con.

Summary File 4 State File—Con.

Field

Data

dictionary

reference

name

Field

size

Starting

position

Data

type

Summary levels

286 287 288 374 375 376

RECORD CODES

File Identification . . . . . . . . . . . . . FILEID 6 1 A/N XXXXX X

State/US-Abbreviation (USPS) . STUSAB 2 7 AXXXXX X

Summary Level............... SUMLEV 3 9 N XXXXX X

Geographic Component ....... GEOCOMP 2 12 A/N XXXXX X

Characteristic Iteration ........ CHARITER 3 14 A/N XXXXX X

Characteristic Iteration File

Sequence Number. . . . . . . . . . . CIFSN 2 17 A/N XXXXX X

Logical Record Number ....... LOGRECNO 7 19 N XXXXX X

GEOGRAPHIC AREA CODES

Region ...................... REGION 1 26 A/N XXXXX X

Division. . . . . . . . . . . . . . . . . . . . . . DIVISION 1 27 A/N XXXXX X

State (Census) . . . . . . . . . . . . . . . STATECE 2 28 A/N XXXXX X

State (FIPS) . . . . . . . . . . . . . . . . . STATE 2 30 A/N XXXXX X

County ...................... COUNTY 3 32 A/N X X

County Size Code ............ COUNTYSC 2 35 A/N X X

County Subdivision (FIPS) ..... COUSUB 5 37 A/N

FIPS County Subdivision Class

Code....................... COUSUBCC 2 42 A/N

County Subdivision Size Code . COUSUBSC 2 44 A/N

Place (FIPS) . . . . . . . . . . . . . . . . . PLACE 5 46 A/N X

FIPS Place Class Code ....... PLACECC 2 51 A/N X

Place Description Code ....... PLACEDC 1 53 A/N X X X

Place Size Code.............. PLACESC 2 54 A/N X

Census Tract................. TRACT 6 56 A/N

Block Group . . . . . . . . . . . . . . . . . BLKGRP 1 62 A/N

Block. . . . . . . . . . . . . . . . . . . . . . . . BLOCK 4 63 A/N

Internal Use Code . . . . . . . . . . . . IUC 2 67 A/N

Consolidated City (FIPS) ...... CONCIT 5 69 A/N

FIPS Consolidated City Class

Code....................... CONCITCC 2 74 A/N

Consolidated City Size Code . . . CONCITSC 2 76 A/N

American Indian Area/Alaska

Native Area/Hawaiian Home

Land (Census) . . . . . . . . . . . . . . AIANHH 4 78 A/N X X X

American Indian Area/Alaska

Native Area/Hawaiian Home

Land (FIPS). . . . . . . . . . . . . . . . . AIANHHFP 5 82 A/N X X X

FIPS American Indian

Area/Alaska Native

Area/Hawaiian Home Land

Class Code . . . . . . . . . . . . . . . . . AIANHHCC 2 87 A/N X X X

American Indian Trust

Land/Hawaiian Home Land

Indicator . . . . . . . . . . . . . . . . . . . . AIHHTLI 1 89 A/N X X X

American Indian Tribal

Subdivision (Census) . . . . . . . . AITSCE 3 90 A/N X

American Indian Tribal

Subdivision (FIPS). . . . . . . . . . . AITS 5 93 A/N X

FIPS American Indian Tribal

Subdivision Class Code . . . . . . AITSCC 2 98 A/N X

Alaska Native Regional

Corporation (FIPS). . . . . . . . . . . ANRC 5 100 A/N

FIPS Alaska Native Regional

Corporation Class Code ...... ANRCCC 2 105 A/N

Metropolitan Statistical

Area/Consolidated

Metropolitan Statistical Area . . MSACMSA 4 107 A/N X

MSA/CMSA Size Code ........ MASC 2 111 A/N X

Consolidated Metropolitan

Statistical Area .............. CMSA 2 113 A/N X

How to Use This File 2–19

U.S. Census Bureau, Census 2000
Figure 2–5. Geographic Header Record—Con.

Summary File 4 State File—Con.

Field

Data

dictionary

reference

name

Field

size

Starting

position

Data

type

Summary levels

286 287 288 374 375 376

Metropolitan Area Central City

Indicator . . . . . . . . . . . . . . . . . . . . MACCI 1 115 A/N X

Primary Metropolitan Statistical

Area . . . . . . . . . . . . . . . . . . . . . . . PMSA 4 116 A/N X

New England County

Metropolitan Area............ NECMA 4 120 A/N X X X X

New England County

Metropolitan Area Central City

Indicator . . . . . . . . . . . . . . . . . . . . NECMACCI 1 124 A/N X X X

New England County

Metropolitan Area Size Code. . NECMASC 2 125 A/N X X X X

Extended Place Indicator . . . . . . EXI 1 127 A/N X

Urban Area . . . . . . . . . . . . . . . . . . UA 5 128 A/N

Urban Area Size Code ........ UASC 2 133 A/N

Urban Area Type . . . . . . . . . . . . . UATYPE 1 135 A/N

Urban/Rural . . . . . . . . . . . . . . . . . . UR 1 136 A/N

Congressional District (106th) . . CD106 2 137 A/N

Congressional District (108th) . . CD108 2 139 A/N

Congressional District (109th) . . CD109 2 141 A/N

Congressional District (110th) . . CD110 2 143 A/N

State Legislative District (Upper

Chamber)................... SLDU 3 145 A/N

State Legislative District (Lower

Chamber)................... SLDL 3 148 A/N

Voting District . . . . . . . . . . . . . . . . VTD 6 151 A/N

Voting District Indicator ........ VTDI 1 157 A/N

ZIP Code Tabulation Area

(3 digit). . . . . . . . . . . . . . . . . . . . . ZCTA3 3 158 A/N

ZIP Code Tabulation Area

(5 digit). . . . . . . . . . . . . . . . . . . . . ZCTA5 5 161 A/N

Subbarrio (FIPS) ............. SUBMCD 5 166 A/N

FIPS Subbarrio Class Code.... SUBMCDCC 2 171 A/N

AREA CHARACTERISTICS

Area (Land) .................. AREALAND 14 173 A/N XXXXX X

Area (Water) . . . . . . . . . . . . . . . . . AREAWATR 14 187 A/N X X X X X X

Area Name – Legal/Statistical

Area Description (LSAD)

Term – Part Indicator. . . . . . . . . NAME 90 201 A/N XXXXX X

Functional Status Code........ FUNCSTAT 1 291 A/N XXXXX X

Geographic Change User Note

Indicator . . . . . . . . . . . . . . . . . . . . GCUNI 1 292 A/N XXXXX X

Population Count (100%) ...... POP100 9 293 A/N XXXXX X

Housing Unit Count (100%) .... HU100 9 302 A/N XXXXX X

Internal Point (Latitude)........ INTPTLAT 9 311 A/N XXXXX X

Internal Point (Longitude) ...... INTPTLON 10 320 A/N XXXXX X

Legal/Statistical Area

Description Code ............ LSADC 2 330 A/N XXXXX X

Part Flag . . . . . . . . . . . . . . . . . . . . PARTFLAG 1 332 A/N XXXXX

SPECIAL AREA CODES

School District (Elementary).... SDELM 5 333 A/N

School District (Secondary) .... SDSEC 5 338 A/N

School District (Unified) ....... SDUNI 5 343 A/N

Traffic Analysis Zone . . . . . . . . . . TAZ 6 348 A/N

Oregon Urban Growth Area . . . . UGA 5 354 A/N

Public Use Microdata Area –

5% File. . . . . . . . . . . . . . . . . . . . . PUMA5 5 359 A/N

Public Use Microdata Area –

1% File. . . . . . . . . . . . . . . . . . . . . PUMA1 5 364 A/N

Reserved . . . . . . . . . . . . . . . . . . . . RESERVE2 15 369 A/N

Metropolitan Area Central City. . MACC 5 384 A/N X

Urban Area Central Place. . . . . . UACP 5 389 A/N

Reserved . . . . . . . . . . . . . . . . . . . . RESERVED 7 394 A/N

2–20 How to Use This File

U.S. Census Bureau, Census 2000
Figure 2–5. Geographic Header Record—Con.

Summary File 4 State File—Con.

Field

Data

dictionary

reference

name

Field

size

Starting

position

Data

type

Summary levels

390 391 392 393 395 396

RECORD CODES

File Identification . . . . . . . . . . . . . FILEID 6 1 A/N XXXXX X

State/US-Abbreviation (USPS) . STUSAB 2 7 AXXXXX X

Summary Level............... SUMLEV 3 9 N XXXXX X

Geographic Component ....... GEOCOMP 2 12 A/N XXXXX X

Characteristic Iteration ........ CHARITER 3 14 A/N XXXXX X

Characteristic Iteration File

Sequence Number. . . . . . . . . . . CIFSN 2 17 A/N XXXXX X

Logical Record Number ....... LOGRECNO 7 19 N XXXXX X

GEOGRAPHIC AREA CODES

Region ...................... REGION 1 26 A/N XXXXX X

Division. . . . . . . . . . . . . . . . . . . . . . DIVISION 1 27 A/N XXXXX X

State (Census) . . . . . . . . . . . . . . . STATECE 2 28 A/N XXXXX X

State (FIPS) . . . . . . . . . . . . . . . . . STATE 2 30 A/N XXXXX X

County ...................... COUNTY 3 32 A/N X X X

County Size Code ............ COUNTYSC 2 35 A/N X X X

County Subdivision (FIPS) ..... COUSUB 5 37 A/N X

FIPS County Subdivision Class

Code....................... COUSUBCC 2 42 A/N X

County Subdivision Size Code . COUSUBSC 2 44 A/N X

Place (FIPS) . . . . . . . . . . . . . . . . . PLACE 5 46 A/N X

FIPS Place Class Code ....... PLACECC 2 51 A/N X

Place Description Code ....... PLACEDC 1 53 A/N X X X X

Place Size Code.............. PLACESC 2 54 A/N X

Census Tract................. TRACT 6 56 A/N

Block Group . . . . . . . . . . . . . . . . . BLKGRP 1 62 A/N

Block. . . . . . . . . . . . . . . . . . . . . . . . BLOCK 4 63 A/N

Internal Use Code . . . . . . . . . . . . IUC 2 67 A/N

Consolidated City (FIPS) ...... CONCIT 5 69 A/N

FIPS Consolidated City Class

Code....................... CONCITCC 2 74 A/N

Consolidated City Size Code . . . CONCITSC 2 76 A/N

American Indian Area/Alaska

Native Area/Hawaiian Home

Land (Census) . . . . . . . . . . . . . . AIANHH 4 78 A/N

American Indian Area/Alaska

Native Area/Hawaiian Home

Land (FIPS). . . . . . . . . . . . . . . . . AIANHHFP 5 82 A/N

FIPS American Indian

Area/Alaska Native

Area/Hawaiian Home Land

Class Code . . . . . . . . . . . . . . . . . AIANHHCC 2 87 A/N

American Indian Trust

Land/Hawaiian Home Land

Indicator . . . . . . . . . . . . . . . . . . . . AIHHTLI 1 89 A/N

American Indian Tribal

Subdivision (Census) . . . . . . . . AITSCE 3 90 A/N

American Indian Tribal

Subdivision (FIPS). . . . . . . . . . . AITS 5 93 A/N

FIPS American Indian Tribal

Subdivision Class Code . . . . . . AITSCC 2 98 A/N

Alaska Native Regional

Corporation (FIPS). . . . . . . . . . . ANRC 5 100 A/N

FIPS Alaska Native Regional

Corporation Class Code ...... ANRCCC 2 105 A/N

Metropolitan Statistical

Area/Consolidated

Metropolitan Statistical Area . . MSACMSA 4 107 A/N XXXXX X

MSA/CMSA Size Code ........ MASC 2 111 A/N XXXXX X

Consolidated Metropolitan

Statistical Area .............. CMSA 2 113 A/N XXXXX X

How to Use This File 2–21

U.S. Census Bureau, Census 2000
Figure 2–5. Geographic Header Record—Con.

Summary File 4 State File—Con.

Field

Data

dictionary

reference

name

Field

size

Starting

position

Data

type

Summary levels

390 391 392 393 395 396

Metropolitan Area Central City

Indicator . . . . . . . . . . . . . . . . . . . . MACCI 1 115 A/N X X X X

Primary Metropolitan Statistical

Area . . . . . . . . . . . . . . . . . . . . . . . PMSA 4 116 A/N X X

New England County

Metropolitan Area............ NECMA 4 120 A/N

New England County

Metropolitan Area Central City

Indicator . . . . . . . . . . . . . . . . . . . . NECMACCI 1 124 A/N

New England County

Metropolitan Area Size Code. . NECMASC 2 125 A/N

Extended Place Indicator . . . . . . EXI 1 127 A/N X

Urban Area . . . . . . . . . . . . . . . . . . UA 5 128 A/N

Urban Area Size Code ........ UASC 2 133 A/N

Urban Area Type . . . . . . . . . . . . . UATYPE 1 135 A/N

Urban/Rural . . . . . . . . . . . . . . . . . . UR 1 136 A/N

Congressional District (106th) . . CD106 2 137 A/N

Congressional District (108th) . . CD108 2 139 A/N

Congressional District (109th) . . CD109 2 141 A/N

Congressional District (110th) . . CD110 2 143 A/N

State Legislative District (Upper

Chamber)................... SLDU 3 145 A/N

State Legislative District (Lower

Chamber)................... SLDL 3 148 A/N

Voting District . . . . . . . . . . . . . . . . VTD 6 151 A/N

Voting District Indicator ........ VTDI 1 157 A/N

ZIP Code Tabulation Area

(3 digit). . . . . . . . . . . . . . . . . . . . . ZCTA3 3 158 A/N

ZIP Code Tabulation Area

(5 digit). . . . . . . . . . . . . . . . . . . . . ZCTA5 5 161 A/N

Subbarrio (FIPS) ............. SUBMCD 5 166 A/N

FIPS Subbarrio Class Code.... SUBMCDCC 2 171 A/N

AREA CHARACTERISTICS

Area (Land) .................. AREALAND 14 173 A/N XXXXX X

Area (Water) . . . . . . . . . . . . . . . . . AREAWATR 14 187 A/N X X X X X X

Area Name – Legal/Statistical

Area Description (LSAD)

Term – Part Indicator. . . . . . . . . NAME 90 201 A/N XXXXX X

Functional Status Code........ FUNCSTAT 1 291 A/N XXXXX X

Geographic Change User Note

Indicator . . . . . . . . . . . . . . . . . . . . GCUNI 1 292 A/N XXXXX X

Population Count (100%) ...... POP100 9 293 A/N XXXXX X

Housing Unit Count (100%) .... HU100 9 302 A/N XXXXX X

Internal Point (Latitude)........ INTPTLAT 9 311 A/N XXXXX X

Internal Point (Longitude) ...... INTPTLON 10 320 A/N XXXXX X

Legal/Statistical Area

Description Code ............ LSADC 2 330 A/N XXXXX X

Part Flag . . . . . . . . . . . . . . . . . . . . PARTFLAG 1 332 A/N X X X X X

SPECIAL AREA CODES

School District (Elementary).... SDELM 5 333 A/N

School District (Secondary) .... SDSEC 5 338 A/N

School District (Unified) ....... SDUNI 5 343 A/N

Traffic Analysis Zone . . . . . . . . . . TAZ 6 348 A/N

Oregon Urban Growth Area . . . . UGA 5 354 A/N

Public Use Microdata Area –

5% File. . . . . . . . . . . . . . . . . . . . . PUMA5 5 359 A/N

Public Use Microdata Area –

1% File. . . . . . . . . . . . . . . . . . . . . PUMA1 5 364 A/N

Reserved . . . . . . . . . . . . . . . . . . . . RESERVE2 15 369 A/N

Metropolitan Area Central City. . MACC 5 384 A/N X

Urban Area Central Place. . . . . . UACP 5 389 A/N

Reserved . . . . . . . . . . . . . . . . . . . . RESERVED 7 394 A/N

2–22 How to Use This File

U.S. Census Bureau, Census 2000
Figure 2–5. Geographic Header Record—Con.

Summary File 4 State File—Con.

Field

Data

dictionary

reference

name

Field

size

Starting

position

Data

type

Summary levels

397 420 431 441 451 461

RECORD CODES

File Identification . . . . . . . . . . . . . FILEID 6 1 A/N XXXXX X

State/US-Abbreviation (USPS) . STUSAB 2 7 AXXXXX X

Summary Level............... SUMLEV 3 9 N XXXXX X

Geographic Component ....... GEOCOMP 2 12 A/N XXXXX X

Characteristic Iteration ........ CHARITER 3 14 A/N XXXXX X

Characteristic Iteration File

Sequence Number. . . . . . . . . . . CIFSN 2 17 A/N XXXXX X

Logical Record Number ....... LOGRECNO 7 19 N XXXXX X

GEOGRAPHIC AREA CODES

Region ...................... REGION 1 26 A/N XXXXX X

Division. . . . . . . . . . . . . . . . . . . . . . DIVISION 1 27 A/N XXXXX X

State (Census) . . . . . . . . . . . . . . . STATECE 2 28 A/N XXXXX X

State (FIPS) . . . . . . . . . . . . . . . . . STATE 2 30 A/N XXXXX X

County ...................... COUNTY 3 32 A/N X X X X

County Size Code ............ COUNTYSC 2 35 A/N X X X X

County Subdivision (FIPS) ..... COUSUB 5 37 A/N X X X

FIPS County Subdivision Class

Code....................... COUSUBCC 2 42 A/N X X X

County Subdivision Size Code . COUSUBSC 2 44 A/N X X X

Place (FIPS) . . . . . . . . . . . . . . . . . PLACE 5 46 A/N X X

FIPS Place Class Code ....... PLACECC 2 51 A/N X X

Place Description Code ....... PLACEDC 1 53 A/N X X X X X

Place Size Code.............. PLACESC 2 54 A/N X X

Census Tract................. TRACT 6 56 A/N

Block Group . . . . . . . . . . . . . . . . . BLKGRP 1 62 A/N

Block. . . . . . . . . . . . . . . . . . . . . . . . BLOCK 4 63 A/N

Internal Use Code . . . . . . . . . . . . IUC 2 67 A/N

Consolidated City (FIPS) ...... CONCIT 5 69 A/N X

FIPS Consolidated City Class

Code....................... CONCITCC 2 74 A/N X

Consolidated City Size Code . . . CONCITSC 2 76 A/N X

American Indian Area/Alaska

Native Area/Hawaiian Home

Land (Census) . . . . . . . . . . . . . . AIANHH 4 78 A/N

American Indian Area/Alaska

Native Area/Hawaiian Home

Land (FIPS). . . . . . . . . . . . . . . . . AIANHHFP 5 82 A/N

FIPS American Indian

Area/Alaska Native

Area/Hawaiian Home Land

Class Code . . . . . . . . . . . . . . . . . AIANHHCC 2 87 A/N

American Indian Trust

Land/Hawaiian Home Land

Indicator . . . . . . . . . . . . . . . . . . . . AIHHTLI 1 89 A/N

American Indian Tribal

Subdivision (Census) . . . . . . . . AITSCE 3 90 A/N

American Indian Tribal

Subdivision (FIPS). . . . . . . . . . . AITS 5 93 A/N

FIPS American Indian Tribal

Subdivision Class Code . . . . . . AITSCC 2 98 A/N

Alaska Native Regional

Corporation (FIPS). . . . . . . . . . . ANRC 5 100 A/N

FIPS Alaska Native Regional

Corporation Class Code ...... ANRCCC 2 105 A/N

Metropolitan Statistical

Area/Consolidated

Metropolitan Statistical Area . . MSACMSA 4 107 A/N X X X X X

MSA/CMSA Size Code ........ MASC 2 111 A/N X X X X X

Consolidated Metropolitan

Statistical Area .............. CMSA 2 113 A/N X X X X X

How to Use This File 2–23

U.S. Census Bureau, Census 2000
Figure 2–5. Geographic Header Record—Con.

Summary File 4 State File—Con.

Field

Data

dictionary

reference

name

Field

size

Starting

position

Data

type

Summary levels

397 420 431 441 451 461

Metropolitan Area Central City

Indicator . . . . . . . . . . . . . . . . . . . . MACCI 1 115 A/N X X X X X

Primary Metropolitan Statistical

Area . . . . . . . . . . . . . . . . . . . . . . . PMSA 4 116 A/N X X X X X

New England County

Metropolitan Area............ NECMA 4 120 A/N X X X X

New England County

Metropolitan Area Central City

Indicator . . . . . . . . . . . . . . . . . . . . NECMACCI 1 124 A/N X X X X

New England County

Metropolitan Area Size Code. . NECMASC 2 125 A/N X X X X

Extended Place Indicator . . . . . . EXI 1 127 A/N X X

Urban Area . . . . . . . . . . . . . . . . . . UA 5 128 A/N XXXX X

Urban Area Size Code ........ UASC 2 133 A/N XXXX X

Urban Area Type . . . . . . . . . . . . . UATYPE 1 135 A/N XXXX X

Urban/Rural . . . . . . . . . . . . . . . . . . UR 1 136 A/N XXXX X

Congressional District (106th) . . CD106 2 137 A/N

Congressional District (108th) . . CD108 2 139 A/N

Congressional District (109th) . . CD109 2 141 A/N

Congressional District (110th) . . CD110 2 143 A/N

State Legislative District (Upper

Chamber)................... SLDU 3 145 A/N

State Legislative District (Lower

Chamber)................... SLDL 3 148 A/N

Voting District . . . . . . . . . . . . . . . . VTD 6 151 A/N

Voting District Indicator ........ VTDI 1 157 A/N

ZIP Code Tabulation Area

(3 digit). . . . . . . . . . . . . . . . . . . . . ZCTA3 3 158 A/N

ZIP Code Tabulation Area

(5 digit). . . . . . . . . . . . . . . . . . . . . ZCTA5 5 161 A/N

Subbarrio (FIPS) ............. SUBMCD 5 166 A/N

FIPS Subbarrio Class Code.... SUBMCDCC 2 171 A/N

AREA CHARACTERISTICS

Area (Land) .................. AREALAND 14 173 A/N XXXXX X

Area (Water) . . . . . . . . . . . . . . . . . AREAWATR 14 187 A/N X X X X X X

Area Name – Legal/Statistical

Area Description (LSAD)

Term – Part Indicator. . . . . . . . . NAME 90 201 A/N XXXXX X

Functional Status Code........ FUNCSTAT 1 291 A/N XXXXX X

Geographic Change User Note

Indicator . . . . . . . . . . . . . . . . . . . . GCUNI 1 292 A/N X X X X X

Population Count (100%) ...... POP100 9 293 A/N XXXXX X

Housing Unit Count (100%) .... HU100 9 302 A/N XXXXX X

Internal Point (Latitude)........ INTPTLAT 9 311 A/N XXXXX X

Internal Point (Longitude) ...... INTPTLON 10 320 A/N XXXXX X

Legal/Statistical Area

Description Code ............ LSADC 2 330 A/N XXXXX X

Part Flag . . . . . . . . . . . . . . . . . . . . PARTFLAG 1 332 A/N XXXX X

SPECIAL AREA CODES

School District (Elementary).... SDELM 5 333 A/N

School District (Secondary) .... SDSEC 5 338 A/N

School District (Unified) ....... SDUNI 5 343 A/N

Traffic Analysis Zone . . . . . . . . . . TAZ 6 348 A/N

Oregon Urban Growth Area . . . . UGA 5 354 A/N

Public Use Microdata Area –

5% File. . . . . . . . . . . . . . . . . . . . . PUMA5 5 359 A/N

Public Use Microdata Area –

1% File. . . . . . . . . . . . . . . . . . . . . PUMA1 5 364 A/N

Reserved . . . . . . . . . . . . . . . . . . . . RESERVE2 15 369 A/N

Metropolitan Area Central City. . MACC 5 384 A/N

Urban Area Central Place. . . . . . UACP 5 389 A/N X

Reserved . . . . . . . . . . . . . . . . . . . . RESERVED 7 394 A/N

2–24 How to Use This File

U.S. Census Bureau, Census 2000
Figure 2–5. Geographic Header Record—Con.

Summary File 4 State File—Con.

Field

Data

dictionary

reference

name

Field

size

Starting

position

Data

type

Summary levels

463 465

RECORD CODES

File Identification . . . . . . . . . . . . . FILEID 6 1 A/N X X

State/US-Abbreviation (USPS) . STUSAB 2 7 A X X

Summary Level............... SUMLEV 3 9 N X X

Geographic Component ....... GEOCOMP 2 12 A/N X X

Characteristic Iteration ........ CHARITER 3 14 A/N X X

Characteristic Iteration File

Sequence Number. . . . . . . . . . . CIFSN 2 17 A/N X X

Logical Record Number ....... LOGRECNO 7 19 N X X

GEOGRAPHIC AREA CODES

Region ...................... REGION 1 26 A/N X X

Division. . . . . . . . . . . . . . . . . . . . . . DIVISION 1 27 A/N X X

State (Census) . . . . . . . . . . . . . . . STATECE 2 28 A/N X X

State (FIPS) . . . . . . . . . . . . . . . . . STATE 2 30 A/N X X

County ...................... COUNTY 3 32 A/N

County Size Code ............ COUNTYSC 2 35 A/N

County Subdivision (FIPS) ..... COUSUB 5 37 A/N

FIPS County Subdivision Class

Code....................... COUSUBCC 2 42 A/N

County Subdivision Size Code . COUSUBSC 2 44 A/N

Place (FIPS) . . . . . . . . . . . . . . . . . PLACE 5 46 A/N X

FIPS Place Class Code ....... PLACECC 2 51 A/N X

Place Description Code ....... PLACEDC 1 53 A/N X X

Place Size Code.............. PLACESC 2 54 A/N X

Census Tract................. TRACT 6 56 A/N

Block Group . . . . . . . . . . . . . . . . . BLKGRP 1 62 A/N

Block. . . . . . . . . . . . . . . . . . . . . . . . BLOCK 4 63 A/N

Internal Use Code . . . . . . . . . . . . IUC 2 67 A/N

Consolidated City (FIPS) ...... CONCIT 5 69 A/N X X

FIPS Consolidated City Class

Code....................... CONCITCC 2 74 A/N X X

Consolidated City Size Code . . . CONCITSC 2 76 A/N X X

American Indian Area/Alaska

Native Area/Hawaiian Home

Land (Census) . . . . . . . . . . . . . . AIANHH 4 78 A/N

American Indian Area/Alaska

Native Area/Hawaiian Home

Land (FIPS). . . . . . . . . . . . . . . . . AIANHHFP 5 82 A/N

FIPS American Indian

Area/Alaska Native

Area/Hawaiian Home Land

Class Code . . . . . . . . . . . . . . . . . AIANHHCC 2 87 A/N

American Indian Trust

Land/Hawaiian Home Land

Indicator . . . . . . . . . . . . . . . . . . . . AIHHTLI 1 89 A/N

American Indian Tribal

Subdivision (Census) . . . . . . . . AITSCE 3 90 A/N

American Indian Tribal

Subdivision (FIPS). . . . . . . . . . . AITS 5 93 A/N

FIPS American Indian Tribal

Subdivision Class Code . . . . . . AITSCC 2 98 A/N

Alaska Native Regional

Corporation (FIPS). . . . . . . . . . . ANRC 5 100 A/N

FIPS Alaska Native Regional

Corporation Class Code ...... ANRCCC 2 105 A/N

Metropolitan Statistical

Area/Consolidated

Metropolitan Statistical Area . . MSACMSA 4 107 A/N X X

MSA/CMSA Size Code ........ MASC 2 111 A/N X X

Consolidated Metropolitan

Statistical Area .............. CMSA 2 113 A/N X X

How to Use This File 2–25

U.S. Census Bureau, Census 2000
Figure 2–5. Geographic Header Record—Con.

Summary File 4 State File—Con.

Field

Data

dictionary

reference

name

Field

size

Starting

position

Data

type

Summary levels

463 465

Metropolitan Area Central City

Indicator . . . . . . . . . . . . . . . . . . . . MACCI 1 115 A/N X X

Primary Metropolitan Statistical

Area . . . . . . . . . . . . . . . . . . . . . . . PMSA 4 116 A/N X X

New England County

Metropolitan Area............ NECMA 4 120 A/N X X

New England County

Metropolitan Area Central City

Indicator . . . . . . . . . . . . . . . . . . . . NECMACCI 1 124 A/N X X

New England County

Metropolitan Area Size Code. . NECMASC 2 125 A/N X X

Extended Place Indicator . . . . . . EXI 1 127 A/N X X

Urban Area . . . . . . . . . . . . . . . . . . UA 5 128 A/N X X

Urban Area Size Code ........ UASC 2 133 A/N X X

Urban Area Type . . . . . . . . . . . . . UATYPE 1 135 A/N X X

Urban/Rural . . . . . . . . . . . . . . . . . . UR 1 136 A/N X X

Congressional District (106th) . . CD106 2 137 A/N

Congressional District (108th) . . CD108 2 139 A/N

Congressional District (109th) . . CD109 2 141 A/N

Congressional District (110th) . . CD110 2 143 A/N

State Legislative District (Upper

Chamber)................... SLDU 3 145 A/N

State Legislative District (Lower

Chamber)................... SLDL 3 148 A/N

Voting District . . . . . . . . . . . . . . . . VTD 6 151 A/N

Voting District Indicator ........ VTDI 1 157 A/N

ZIP Code Tabulation Area

(3 digit). . . . . . . . . . . . . . . . . . . . . ZCTA3 3 158 A/N

ZIP Code Tabulation Area

(5 digit). . . . . . . . . . . . . . . . . . . . . ZCTA5 5 161 A/N

Subbarrio (FIPS) ............. SUBMCD 5 166 A/N

FIPS Subbarrio Class Code.... SUBMCDCC 2 171 A/N

AREA CHARACTERISTICS

Area (Land) .................. AREALAND 14 173 A/N X X

Area (Water) . . . . . . . . . . . . . . . . . AREAWATR 14 187 A/N X X

Area Name – Legal/Statistical

Area Description (LSAD)

Term – Part Indicator. . . . . . . . . NAME 90 201 A/N X X

Functional Status Code........ FUNCSTAT 1 291 A/N X X

Geographic Change User Note

Indicator . . . . . . . . . . . . . . . . . . . . GCUNI 1 292 A/N X X

Population Count (100%) ...... POP100 9 293 A/N X X

Housing Unit Count (100%) .... HU100 9 302 A/N X X

Internal Point (Latitude)........ INTPTLAT 9 311 A/N X X

Internal Point (Longitude) ...... INTPTLON 10 320 A/N X X

Legal/Statistical Area

Description Code ............ LSADC 2 330 A/N X X

Part Flag . . . . . . . . . . . . . . . . . . . . PARTFLAG 1 332 A/N X X

SPECIAL AREA CODES

School District (Elementary).... SDELM 5 333 A/N

School District (Secondary) .... SDSEC 5 338 A/N

School District (Unified) ....... SDUNI 5 343 A/N

Traffic Analysis Zone . . . . . . . . . . TAZ 6 348 A/N

Oregon Urban Growth Area . . . . UGA 5 354 A/N

Public Use Microdata Area –

5% File. . . . . . . . . . . . . . . . . . . . . PUMA5 5 359 A/N

Public Use Microdata Area –

1% File. . . . . . . . . . . . . . . . . . . . . PUMA1 5 364 A/N

Reserved . . . . . . . . . . . . . . . . . . . . RESERVE2 15 369 A/N

Metropolitan Area Central City. . MACC 5 384 A/N

Urban Area Central Place. . . . . . UACP 5 389 A/N

Reserved . . . . . . . . . . . . . . . . . . . . RESERVED 7 394 A/N

2–26 How to Use This File

U.S. Census Bureau, Census 2000
Figure 2–5. Geographic Header Record

Summary File 4 National File

Field

Data

dictionary

reference

name

Field

size

Starting

position

Data

type

Summary levels

010 020 030 040 050 060

RECORD CODES

File Identification . . . . . . . . . . . . . FILEID 6 1 A/N XXXXX X

State/US-Abbreviation (USPS) . STUSAB 2 7 A X X X X

Summary Level............... SUMLEV 3 9 N XXXXX X

Geographic Component ....... GEOCOMP 2 12 A/N XXXXX X

Characteristic Iteration ........ CHARITER 3 14 A/N XXXXX X

Characteristic Iteration File

Sequence Number. . . . . . . . . . . CIFSN 2 17 A/N XXXXX X

Logical Record Number ....... LOGRECNO 7 19 N XXXXX X

GEOGRAPHIC AREA CODES

Region ...................... REGION 1 26 A/N XXXX X

Division. . . . . . . . . . . . . . . . . . . . . . DIVISION 1 27 A/N X X X X

State (Census) . . . . . . . . . . . . . . . STATECE 2 28 A/N X X X

State (FIPS) . . . . . . . . . . . . . . . . . STATE 2 30 A/N X X X

County ...................... COUNTY 3 32 A/N X X

County Size Code ............ COUNTYSC 2 35 A/N X X

County Subdivision (FIPS) ..... COUSUB 5 37 A/N X

FIPS County Subdivision Class

Code....................... COUSUBCC 2 42 A/N X

County Subdivision Size Code . COUSUBSC 2 44 A/N X

Place (FIPS) . . . . . . . . . . . . . . . . . PLACE 5 46 A/N

FIPS Place Class Code ....... PLACECC 2 51 A/N

Place Description Code ....... PLACEDC 1 53 A/N X X

Place Size Code.............. PLACESC 2 54 A/N

Census Tract................. TRACT 6 56 A/N

Block Group . . . . . . . . . . . . . . . . . BLKGRP 1 62 A/N

Block. . . . . . . . . . . . . . . . . . . . . . . . BLOCK 4 63 A/N

Internal Use Code . . . . . . . . . . . . IUC 2 67 A/N

Consolidated City (FIPS) ...... CONCIT 5 69 A/N

FIPS Consolidated City Class

Code....................... CONCITCC 2 74 A/N

Consolidated City Size Code . . . CONCITSC 2 76 A/N

American Indian Area/Alaska

Native Area/Hawaiian Home

Land (Census) . . . . . . . . . . . . . . AIANHH 4 78 A/N

American Indian Area/Alaska

Native Area/Hawaiian Home

Land (FIPS). . . . . . . . . . . . . . . . . AIANHHFP 5 82 A/N

FIPS American Indian

Area/Alaska Native

Area/Hawaiian Home Land

Class Code . . . . . . . . . . . . . . . . . AIANHHCC 2 87 A/N

American Indian Trust

Land/Hawaiian Home Land

Indicator . . . . . . . . . . . . . . . . . . . . AIHHTLI 1 89 A/N

American Indian Tribal

Subdivision (Census) . . . . . . . . AITSCE 3 90 A/N

American Indian Tribal

Subdivision (FIPS). . . . . . . . . . . AITS 5 93 A/N

FIPS American Indian Tribal

Subdivision Class Code . . . . . . AITSCC 2 98 A/N

Alaska Native Regional

Corporation (FIPS). . . . . . . . . . . ANRC 5 100 A/N

FIPS Alaska Native Regional

Corporation Class Code ...... ANRCCC 2 105 A/N

Metropolitan Statistical

Area/Consolidated

Metropolitan Statistical Area . . MSACMSA 4 107 A/N X X

MSA/CMSA Size Code ........ MASC 2 111 A/N X X

Consolidated Metropolitan

Statistical Area .............. CMSA 2 113 A/N X X

How to Use This File 2–27

U.S. Census Bureau, Census 2000
Figure 2–5. Geographic Header Record—Con.

Summary File 4 National File—Con.

Field

Data

dictionary

reference

name

Field

size

Starting

position

Data

type

Summary levels

010 020 030 040 050 060

Metropolitan Area Central City

Indicator . . . . . . . . . . . . . . . . . . . . MACCI 1 115 A/N X X

Primary Metropolitan Statistical

Area . . . . . . . . . . . . . . . . . . . . . . . PMSA 4 116 A/N X X

New England County

Metropolitan Area............ NECMA 4 120 A/N X X

New England County

Metropolitan Area Central City

Indicator . . . . . . . . . . . . . . . . . . . . NECMACCI 1 124 A/N X X

New England County

Metropolitan Area Size Code. . NECMASC 2 125 A/N X X

Extended Place Indicator . . . . . . EXI 1 127 A/N

Urban Area . . . . . . . . . . . . . . . . . . UA 5 128 A/N

Urban Area Size Code ........ UASC 2 133 A/N

Urban Area Type . . . . . . . . . . . . . UATYPE 1 135 A/N

Urban/Rural . . . . . . . . . . . . . . . . . . UR 1 136 A/N

Congressional District (106th) . . CD106 2 137 A/N

Congressional District (108th) . . CD108 2 139 A/N

Congressional District (109th) . . CD109 2 141 A/N

Congressional District (110th) . . CD110 2 143 A/N

State Legislative District (Upper

Chamber)................... SLDU 3 145 A/N

State Legislative District (Lower

Chamber)................... SLDL 3 148 A/N

Voting District . . . . . . . . . . . . . . . . VTD 6 151 A/N

Voting District Indicator ........ VTDI 1 157 A/N

ZIP Code Tabulation Area

(3 digit). . . . . . . . . . . . . . . . . . . . . ZCTA3 3 158 A/N

ZIP Code Tabulation Area

(5 digit). . . . . . . . . . . . . . . . . . . . . ZCTA5 5 161 A/N

Subbarrio (FIPS) ............. SUBMCD 5 166 A/N

FIPS Subbarrio Class Code.... SUBMCDCC 2 171 A/N

AREA CHARACTERISTICS

Area (Land) .................. AREALAND 14 173 A/N XXXXX X

Area (Water) . . . . . . . . . . . . . . . . . AREAWATR 14 187 A/N X X X X X X

Area Name – Legal/Statistical

Area Description (LSAD)

Term – Part Indicator. . . . . . . . . NAME 90 201 A/N XXXXX X

Functional Status Code........ FUNCSTAT 1 291 A/N XXXXX X

Geographic Change User Note

Indicator . . . . . . . . . . . . . . . . . . . . GCUNI 1 292 A/N XXXXX X

Population Count (100%) ...... POP100 9 293 A/N XXXXX X

Housing Unit Count (100%) .... HU100 9 302 A/N XXXXX X

Internal Point (Latitude)........ INTPTLAT 9 311 A/N XXXXX X

Internal Point (Longitude) ...... INTPTLON 10 320 A/N XXXXX X

Legal/Statistical Area

Description Code ............ LSADC 2 330 A/N XXXXX X

Part Flag . . . . . . . . . . . . . . . . . . . . PARTFLAG 1 332 A/N

SPECIAL AREA CODES

School District (Elementary).... SDELM 5 333 A/N

School District (Secondary) .... SDSEC 5 338 A/N

School District (Unified) ....... SDUNI 5 343 A/N

Traffic Analysis Zone . . . . . . . . . . TAZ 6 348 A/N

Oregon Urban Growth Area . . . . UGA 5 354 A/N

Public Use Microdata Area –

5% File. . . . . . . . . . . . . . . . . . . . . PUMA5 5 359 A/N

Public Use Microdata Area –

1% File. . . . . . . . . . . . . . . . . . . . . PUMA1 5 364 A/N

Reserved . . . . . . . . . . . . . . . . . . . . RESERVE2 15 369 A/N

Metropolitan Area Central City. . MACC 5 384 A/N

Urban Area Central Place. . . . . . UACP 5 389 A/N

Reserved . . . . . . . . . . . . . . . . . . . . RESERVED 7 394 A/N

2–28 How to Use This File

U.S. Census Bureau, Census 2000
Figure 2–5. Geographic Header Record—Con.

Summary File 4 National File—Con.

Field

Data

dictionary

reference

name

Field

size

Starting

position

Data

type

Summary levels

070 155 160 170 172 230

RECORD CODES

File Identification . . . . . . . . . . . . . FILEID 6 1 A/N XXXXX X

State/US-Abbreviation (USPS) . STUSAB 2 7 AXXXXX X

Summary Level............... SUMLEV 3 9 N XXXXX X

Geographic Component ....... GEOCOMP 2 12 A/N XXXXX X

Characteristic Iteration ........ CHARITER 3 14 A/N XXXXX X

Characteristic Iteration File

Sequence Number. . . . . . . . . . . CIFSN 2 17 A/N XXXXX X

Logical Record Number ....... LOGRECNO 7 19 N XXXXX X

GEOGRAPHIC AREA CODES

Region ...................... REGION 1 26 A/N XXXXX X

Division. . . . . . . . . . . . . . . . . . . . . . DIVISION 1 27 A/N XXXXX X

State (Census) . . . . . . . . . . . . . . . STATECE 2 28 A/N XXXXX X

State (FIPS) . . . . . . . . . . . . . . . . . STATE 2 30 A/N XXXXX X

County ...................... COUNTY 3 32 A/N X X

County Size Code ............ COUNTYSC 2 35 A/N X X

County Subdivision (FIPS) ..... COUSUB 5 37 A/N X

FIPS County Subdivision Class

Code....................... COUSUBCC 2 42 A/N X

County Subdivision Size Code . COUSUBSC 2 44 A/N X

Place (FIPS) . . . . . . . . . . . . . . . . . PLACE 5 46 A/N X X X X

FIPS Place Class Code ....... PLACECC 2 51 A/N X X X X

Place Description Code ....... PLACEDC 1 53 A/N XXXXX

Place Size Code.............. PLACESC 2 54 A/N X X X X

Census Tract................. TRACT 6 56 A/N

Block Group . . . . . . . . . . . . . . . . . BLKGRP 1 62 A/N

Block. . . . . . . . . . . . . . . . . . . . . . . . BLOCK 4 63 A/N

Internal Use Code . . . . . . . . . . . . IUC 2 67 A/N

Consolidated City (FIPS) ...... CONCIT 5 69 A/N X X

FIPS Consolidated City Class

Code....................... CONCITCC 2 74 A/N X X

Consolidated City Size Code . . . CONCITSC 2 76 A/N X X

American Indian Area/Alaska

Native Area/Hawaiian Home

Land (Census) . . . . . . . . . . . . . . AIANHH 4 78 A/N

American Indian Area/Alaska

Native Area/Hawaiian Home

Land (FIPS). . . . . . . . . . . . . . . . . AIANHHFP 5 82 A/N

FIPS American Indian

Area/Alaska Native

Area/Hawaiian Home Land

Class Code . . . . . . . . . . . . . . . . . AIANHHCC 2 87 A/N

American Indian Trust

Land/Hawaiian Home Land

Indicator . . . . . . . . . . . . . . . . . . . . AIHHTLI 1 89 A/N

American Indian Tribal

Subdivision (Census) . . . . . . . . AITSCE 3 90 A/N

American Indian Tribal

Subdivision (FIPS). . . . . . . . . . . AITS 5 93 A/N

FIPS American Indian Tribal

Subdivision Class Code . . . . . . AITSCC 2 98 A/N

Alaska Native Regional

Corporation (FIPS). . . . . . . . . . . ANRC 5 100 A/N X

FIPS Alaska Native Regional

Corporation Class Code ...... ANRCCC 2 105 A/N X

Metropolitan Statistical

Area/Consolidated

Metropolitan Statistical Area . . MSACMSA 4 107 A/N XXXXX

MSA/CMSA Size Code ........ MASC 2 111 A/N XXXXX

Consolidated Metropolitan

Statistical Area .............. CMSA 2 113 A/N XXXXX

How to Use This File 2–29

U.S. Census Bureau, Census 2000
Figure 2–5. Geographic Header Record—Con.

Summary File 4 National File—Con.

Field

Data

dictionary

reference

name

Field

size

Starting

position

Data

type

Summary levels

070 155 160 170 172 230

Metropolitan Area Central City

Indicator . . . . . . . . . . . . . . . . . . . . MACCI 1 115 A/N XXXXX

Primary Metropolitan Statistical

Area . . . . . . . . . . . . . . . . . . . . . . . PMSA 4 116 A/N XXXXX

New England County

Metropolitan Area............ NECMA 4 120 A/N XXXXX

New England County

Metropolitan Area Central City

Indicator . . . . . . . . . . . . . . . . . . . . NECMACCI 1 124 A/N XXXXX

New England County

Metropolitan Area Size Code. . NECMASC 2 125 A/N XXXXX

Extended Place Indicator . . . . . . EXI 1 127 A/N X X X X

Urban Area . . . . . . . . . . . . . . . . . . UA 5 128 A/N

Urban Area Size Code ........ UASC 2 133 A/N

Urban Area Type . . . . . . . . . . . . . UATYPE 1 135 A/N

Urban/Rural . . . . . . . . . . . . . . . . . . UR 1 136 A/N

Congressional District (106th) . . CD106 2 137 A/N

Congressional District (108th) . . CD108 2 139 A/N

Congressional District (109th) . . CD109 2 141 A/N

Congressional District (110th) . . CD110 2 143 A/N

State Legislative District (Upper

Chamber)................... SLDU 3 145 A/N

State Legislative District (Lower

Chamber)................... SLDL 3 148 A/N

Voting District . . . . . . . . . . . . . . . . VTD 6 151 A/N

Voting District Indicator ........ VTDI 1 157 A/N

ZIP Code Tabulation Area

(3 digit). . . . . . . . . . . . . . . . . . . . . ZCTA3 3 158 A/N

ZIP Code Tabulation Area

(5 digit). . . . . . . . . . . . . . . . . . . . . ZCTA5 5 161 A/N

Subbarrio (FIPS) ............. SUBMCD 5 166 A/N

FIPS Subbarrio Class Code.... SUBMCDCC 2 171 A/N

AREA CHARACTERISTICS

Area (Land) .................. AREALAND 14 173 A/N XXXXX X

Area (Water) . . . . . . . . . . . . . . . . . AREAWATR 14 187 A/N X X X X X X

Area Name – Legal/Statistical

Area Description (LSAD)

Term – Part Indicator. . . . . . . . . NAME 90 201 A/N XXXXX X

Functional Status Code........ FUNCSTAT 1 291 A/N XXXXX X

Geographic Change User Note

Indicator . . . . . . . . . . . . . . . . . . . . GCUNI 1 292 A/N XXXXX X

Population Count (100%) ...... POP100 9 293 A/N XXXXX X

Housing Unit Count (100%) .... HU100 9 302 A/N XXXXX X

Internal Point (Latitude)........ INTPTLAT 9 311 A/N XXXXX X

Internal Point (Longitude) ...... INTPTLON 10 320 A/N XXXXX X

Legal/Statistical Area

Description Code ............ LSADC 2 330 A/N XXXXX X

Part Flag . . . . . . . . . . . . . . . . . . . . PARTFLAG 1 332 A/N X X X

SPECIAL AREA CODES

School District (Elementary).... SDELM 5 333 A/N

School District (Secondary) .... SDSEC 5 338 A/N

School District (Unified) ....... SDUNI 5 343 A/N

Traffic Analysis Zone . . . . . . . . . . TAZ 6 348 A/N

Oregon Urban Growth Area . . . . UGA 5 354 A/N

Public Use Microdata Area –

5% File. . . . . . . . . . . . . . . . . . . . . PUMA5 5 359 A/N

Public Use Microdata Area –

1% File. . . . . . . . . . . . . . . . . . . . . PUMA1 5 364 A/N

Reserved . . . . . . . . . . . . . . . . . . . . RESERVE2 15 369 A/N

Metropolitan Area Central City. . MACC 5 384 A/N

Urban Area Central Place. . . . . . UACP 5 389 A/N

Reserved . . . . . . . . . . . . . . . . . . . . RESERVED 7 394 A/N

2–30 How to Use This File

U.S. Census Bureau, Census 2000
Figure 2–5. Geographic Header Record—Con.

Summary File 4 National File—Con.

Field

Data

dictionary

reference

name

Field

size

Starting

position

Data

type

Summary levels

250 251 252 253 254 255

RECORD CODES

File Identification . . . . . . . . . . . . . FILEID 6 1 A/N XXXXX X

State/US-Abbreviation (USPS) . STUSAB 2 7 A

Summary Level............... SUMLEV 3 9 N XXXXX X

Geographic Component ....... GEOCOMP 2 12 A/N XXXXX X

Characteristic Iteration ........ CHARITER 3 14 A/N XXXXX X

Characteristic Iteration File

Sequence Number. . . . . . . . . . . CIFSN 2 17 A/N XXXXX X

Logical Record Number ....... LOGRECNO 7 19 N XXXXX X

GEOGRAPHIC AREA CODES

Region ...................... REGION 1 26 A/N

Division. . . . . . . . . . . . . . . . . . . . . . DIVISION 1 27 A/N

State (Census) . . . . . . . . . . . . . . . STATECE 2 28 A/N

State (FIPS) . . . . . . . . . . . . . . . . . STATE 2 30 A/N

County ...................... COUNTY 3 32 A/N

County Size Code ............ COUNTYSC 2 35 A/N

County Subdivision (FIPS) ..... COUSUB 5 37 A/N

FIPS County Subdivision Class

Code....................... COUSUBCC 2 42 A/N

County Subdivision Size Code . COUSUBSC 2 44 A/N

Place (FIPS) . . . . . . . . . . . . . . . . . PLACE 5 46 A/N

FIPS Place Class Code ....... PLACECC 2 51 A/N

Place Description Code ....... PLACEDC 1 53 A/N

Place Size Code.............. PLACESC 2 54 A/N

Census Tract................. TRACT 6 56 A/N

Block Group . . . . . . . . . . . . . . . . . BLKGRP 1 62 A/N

Block. . . . . . . . . . . . . . . . . . . . . . . . BLOCK 4 63 A/N

Internal Use Code . . . . . . . . . . . . IUC 2 67 A/N

Consolidated City (FIPS) ...... CONCIT 5 69 A/N

FIPS Consolidated City Class

Code....................... CONCITCC 2 74 A/N

Consolidated City Size Code . . . CONCITSC 2 76 A/N

American Indian Area/Alaska

Native Area/Hawaiian Home

Land (Census) . . . . . . . . . . . . . . AIANHH 4 78 A/N XXXXX X

American Indian Area/Alaska

Native Area/Hawaiian Home

Land (FIPS). . . . . . . . . . . . . . . . . AIANHHFP 5 82 A/N XXXXX X

FIPS American Indian

Area/Alaska Native

Area/Hawaiian Home Land

Class Code . . . . . . . . . . . . . . . . . AIANHHCC 2 87 A/N XXXXX X

American Indian Trust

Land/Hawaiian Home Land

Indicator . . . . . . . . . . . . . . . . . . . . AIHHTLI 1 89 A/N XXXXX X

American Indian Tribal

Subdivision (Census) . . . . . . . . AITSCE 3 90 A/N X X X

American Indian Tribal

Subdivision (FIPS). . . . . . . . . . . AITS 5 93 A/N X X X

FIPS American Indian Tribal

Subdivision Class Code . . . . . . AITSCC 2 98 A/N X X X

Alaska Native Regional

Corporation (FIPS). . . . . . . . . . . ANRC 5 100 A/N

FIPS Alaska Native Regional

Corporation Class Code ...... ANRCCC 2 105 A/N

Metropolitan Statistical

Area/Consolidated

Metropolitan Statistical Area . . MSACMSA 4 107 A/N

MSA/CMSA Size Code ........ MASC 2 111 A/N

Consolidated Metropolitan

Statistical Area .............. CMSA 2 113 A/N

How to Use This File 2–31

U.S. Census Bureau, Census 2000
Figure 2–5. Geographic Header Record—Con.

Summary File 4 National File—Con.

Field

Data

dictionary

reference

name

Field

size

Starting

position

Data

type

Summary levels

250 251 252 253 254 255

Metropolitan Area Central City

Indicator . . . . . . . . . . . . . . . . . . . . MACCI 1 115 A/N

Primary Metropolitan Statistical

Area . . . . . . . . . . . . . . . . . . . . . . . PMSA 4 116 A/N

New England County

Metropolitan Area............ NECMA 4 120 A/N

New England County

Metropolitan Area Central City

Indicator . . . . . . . . . . . . . . . . . . . . NECMACCI 1 124 A/N

New England County

Metropolitan Area Size Code. . NECMASC 2 125 A/N

Extended Place Indicator . . . . . . EXI 1 127 A/N

Urban Area . . . . . . . . . . . . . . . . . . UA 5 128 A/N

Urban Area Size Code ........ UASC 2 133 A/N

Urban Area Type . . . . . . . . . . . . . UATYPE 1 135 A/N

Urban/Rural . . . . . . . . . . . . . . . . . . UR 1 136 A/N

Congressional District (106th) . . CD106 2 137 A/N

Congressional District (108th) . . CD108 2 139 A/N

Congressional District (109th) . . CD109 2 141 A/N

Congressional District (110th) . . CD110 2 143 A/N

State Legislative District (Upper

Chamber)................... SLDU 3 145 A/N

State Legislative District (Lower

Chamber)................... SLDL 3 148 A/N

Voting District . . . . . . . . . . . . . . . . VTD 6 151 A/N

Voting District Indicator ........ VTDI 1 157 A/N

ZIP Code Tabulation Area

(3 digit). . . . . . . . . . . . . . . . . . . . . ZCTA3 3 158 A/N

ZIP Code Tabulation Area

(5 digit). . . . . . . . . . . . . . . . . . . . . ZCTA5 5 161 A/N

Subbarrio (FIPS) ............. SUBMCD 5 166 A/N

FIPS Subbarrio Class Code.... SUBMCDCC 2 171 A/N

AREA CHARACTERISTICS

Area (Land) .................. AREALAND 14 173 A/N XXXXX X

Area (Water) . . . . . . . . . . . . . . . . . AREAWATR 14 187 A/N X X X X X X

Area Name – Legal/Statistical

Area Description (LSAD)

Term – Part Indicator. . . . . . . . . NAME 90 201 A/N XXXXX X

Functional Status Code........ FUNCSTAT 1 291 A/N XXXXX X

Geographic Change User Note

Indicator . . . . . . . . . . . . . . . . . . . . GCUNI 1 292 A/N XXXXX X

Population Count (100%) ...... POP100 9 293 A/N XXXXX X

Housing Unit Count (100%) .... HU100 9 302 A/N XXXXX X

Internal Point (Latitude)........ INTPTLAT 9 311 A/N XXXXX X

Internal Point (Longitude) ...... INTPTLON 10 320 A/N XXXXX X

Legal/Statistical Area

Description Code ............ LSADC 2 330 A/N XXXXX X

Part Flag . . . . . . . . . . . . . . . . . . . . PARTFLAG 1 332 A/N X X

SPECIAL AREA CODES

School District (Elementary).... SDELM 5 333 A/N

School District (Secondary) .... SDSEC 5 338 A/N

School District (Unified) ....... SDUNI 5 343 A/N

Traffic Analysis Zone . . . . . . . . . . TAZ 6 348 A/N

Oregon Urban Growth Area . . . . UGA 5 354 A/N

Public Use Microdata Area –

5% File. . . . . . . . . . . . . . . . . . . . . PUMA5 5 359 A/N

Public Use Microdata Area –

1% File. . . . . . . . . . . . . . . . . . . . . PUMA1 5 364 A/N

Reserved . . . . . . . . . . . . . . . . . . . . RESERVE2 15 369 A/N

Metropolitan Area Central City. . MACC 5 384 A/N

Urban Area Central Place. . . . . . UACP 5 389 A/N

Reserved . . . . . . . . . . . . . . . . . . . . RESERVED 7 394 A/N

2–32 How to Use This File

U.S. Census Bureau, Census 2000
Figure 2–5. Geographic Header Record—Con.

Summary File 4 National File—Con.

Field

Data

dictionary

reference

name

Field

size

Starting

position

Data

type

Summary levels

256 257 260 262

RECORD CODES

File Identification . . . . . . . . . . . . . FILEID 6 1 A/N X X X X

State/US-Abbreviation (USPS) . STUSAB 2 7 A X X

Summary Level............... SUMLEV 3 9 N X X X X

Geographic Component ....... GEOCOMP 2 12 A/N X X X X

Characteristic Iteration ........ CHARITER 3 14 A/N X X X X

Characteristic Iteration File

Sequence Number. . . . . . . . . . . CIFSN 2 17 A/N X X X X

Logical Record Number ....... LOGRECNO 7 19 N X X X X

GEOGRAPHIC AREA CODES

Region ...................... REGION 1 26 A/N X X

Division. . . . . . . . . . . . . . . . . . . . . . DIVISION 1 27 A/N X X

State (Census) . . . . . . . . . . . . . . . STATECE 2 28 A/N X X

State (FIPS) . . . . . . . . . . . . . . . . . STATE 2 30 A/N X X

County ...................... COUNTY 3 32 A/N

County Size Code ............ COUNTYSC 2 35 A/N

County Subdivision (FIPS) ..... COUSUB 5 37 A/N

FIPS County Subdivision Class

Code....................... COUSUBCC 2 42 A/N

County Subdivision Size Code . COUSUBSC 2 44 A/N

Place (FIPS) . . . . . . . . . . . . . . . . . PLACE 5 46 A/N

FIPS Place Class Code ....... PLACECC 2 51 A/N

Place Description Code ....... PLACEDC 1 53 A/N

Place Size Code.............. PLACESC 2 54 A/N

Census Tract................. TRACT 6 56 A/N X X

Block Group . . . . . . . . . . . . . . . . . BLKGRP 1 62 A/N

Block. . . . . . . . . . . . . . . . . . . . . . . . BLOCK 4 63 A/N

Internal Use Code . . . . . . . . . . . . IUC 2 67 A/N

Consolidated City (FIPS) ...... CONCIT 5 69 A/N

FIPS Consolidated City Class

Code....................... CONCITCC 2 74 A/N

Consolidated City Size Code . . . CONCITSC 2 76 A/N

American Indian Area/Alaska

Native Area/Hawaiian Home

Land (Census) . . . . . . . . . . . . . . AIANHH 4 78 A/N X X X X

American Indian Area/Alaska

Native Area/Hawaiian Home

Land (FIPS). . . . . . . . . . . . . . . . . AIANHHFP 5 82 A/N X X X X

FIPS American Indian

Area/Alaska Native

Area/Hawaiian Home Land

Class Code . . . . . . . . . . . . . . . . . AIANHHCC 2 87 A/N X X X X

American Indian Trust

Land/Hawaiian Home Land

Indicator . . . . . . . . . . . . . . . . . . . . AIHHTLI 1 89 A/N X X X X

American Indian Tribal

Subdivision (Census) . . . . . . . . AITSCE 3 90 A/N X

American Indian Tribal

Subdivision (FIPS). . . . . . . . . . . AITS 5 93 A/N X

FIPS American Indian Tribal

Subdivision Class Code . . . . . . AITSCC 2 98 A/N X

Alaska Native Regional

Corporation (FIPS). . . . . . . . . . . ANRC 5 100 A/N

FIPS Alaska Native Regional

Corporation Class Code ...... ANRCCC 2 105 A/N

Metropolitan Statistical

Area/Consolidated

Metropolitan Statistical Area . . MSACMSA 4 107 A/N

MSA/CMSA Size Code ........ MASC 2 111 A/N

Consolidated Metropolitan

Statistical Area .............. CMSA 2 113 A/N

How to Use This File 2–33

U.S. Census Bureau, Census 2000
Figure 2–5. Geographic Header Record—Con.

Summary File 4 National File—Con.

Field

Data

dictionary

reference

name

Field

size

Starting

position

Data

type

Summary levels

256 257 260 262

Metropolitan Area Central City

Indicator . . . . . . . . . . . . . . . . . . . . MACCI 1 115 A/N

Primary Metropolitan Statistical

Area . . . . . . . . . . . . . . . . . . . . . . . PMSA 4 116 A/N

New England County

Metropolitan Area............ NECMA 4 120 A/N

New England County

Metropolitan Area Central City

Indicator . . . . . . . . . . . . . . . . . . . . NECMACCI 1 124 A/N

New England County

Metropolitan Area Size Code. . NECMASC 2 125 A/N

Extended Place Indicator . . . . . . EXI 1 127 A/N

Urban Area . . . . . . . . . . . . . . . . . . UA 5 128 A/N

Urban Area Size Code ........ UASC 2 133 A/N

Urban Area Type . . . . . . . . . . . . . UATYPE 1 135 A/N

Urban/Rural . . . . . . . . . . . . . . . . . . UR 1 136 A/N

Congressional District (106th) . . CD106 2 137 A/N

Congressional District (108th) . . CD108 2 139 A/N

Congressional District (109th) . . CD109 2 141 A/N

Congressional District (110th) . . CD110 2 143 A/N

State Legislative District (Upper

Chamber)................... SLDU 3 145 A/N

State Legislative District (Lower

Chamber)................... SLDL 3 148 A/N

Voting District . . . . . . . . . . . . . . . . VTD 6 151 A/N

Voting District Indicator ........ VTDI 1 157 A/N

ZIP Code Tabulation Area

(3 digit). . . . . . . . . . . . . . . . . . . . . ZCTA3 3 158 A/N

ZIP Code Tabulation Area

(5 digit). . . . . . . . . . . . . . . . . . . . . ZCTA5 5 161 A/N

Subbarrio (FIPS) ............. SUBMCD 5 166 A/N

FIPS Subbarrio Class Code.... SUBMCDCC 2 171 A/N

AREA CHARACTERISTICS

Area (Land) .................. AREALAND 14 173 A/N X X X X

Area (Water) . . . . . . . . . . . . . . . . . AREAWATR 14 187 A/N X X X X

Area Name – Legal/Statistical

Area Description (LSAD)

Term – Part Indicator. . . . . . . . . NAME 90 201 A/N X X X X

Functional Status Code........ FUNCSTAT 1 291 A/N X X X X

Geographic Change User Note

Indicator . . . . . . . . . . . . . . . . . . . . GCUNI 1 292 A/N X X

Population Count (100%) ...... POP100 9 293 A/N X X X X

Housing Unit Count (100%) .... HU100 9 302 A/N X X X X

Internal Point (Latitude)........ INTPTLAT 9 311 A/N X X X X

Internal Point (Longitude) ...... INTPTLON 10 320 A/N X X X X

Legal/Statistical Area

Description Code ............ LSADC 2 330 A/N X X

Part Flag . . . . . . . . . . . . . . . . . . . . PARTFLAG 1 332 A/N X X X

SPECIAL AREA CODES

School District (Elementary).... SDELM 5 333 A/N

School District (Secondary) .... SDSEC 5 338 A/N

School District (Unified) ....... SDUNI 5 343 A/N

Traffic Analysis Zone . . . . . . . . . . TAZ 6 348 A/N

Oregon Urban Growth Area . . . . UGA 5 354 A/N

Public Use Microdata Area –

5% File. . . . . . . . . . . . . . . . . . . . . PUMA5 5 359 A/N

Public Use Microdata Area –

1% File. . . . . . . . . . . . . . . . . . . . . PUMA1 5 364 A/N

Reserved . . . . . . . . . . . . . . . . . . . . RESERVE2 15 369 A/N

Metropolitan Area Central City. . MACC 5 384 A/N

Urban Area Central Place. . . . . . UACP 5 389 A/N

Reserved . . . . . . . . . . . . . . . . . . . . RESERVED 7 394 A/N

2–34 How to Use This File

U.S. Census Bureau, Census 2000
Figure 2–5. Geographic Header Record—Con.

Summary File 4 National File—Con.

Field

Data

dictionary

reference

name

Field

size

Starting

position

Data

type

Summary levels

264 270 271 272 273 274

RECORD CODES

File Identification . . . . . . . . . . . . . FILEID 6 1 A/N XXXXX X

State/US-Abbreviation (USPS) . STUSAB 2 7 AXXXXX X

Summary Level............... SUMLEV 3 9 N XXXXX X

Geographic Component ....... GEOCOMP 2 12 A/N XXXXX X

Characteristic Iteration ........ CHARITER 3 14 A/N XXXXX X

Characteristic Iteration File

Sequence Number. . . . . . . . . . . CIFSN 2 17 A/N XXXXX X

Logical Record Number ....... LOGRECNO 7 19 N XXXXX X

GEOGRAPHIC AREA CODES

Region ...................... REGION 1 26 A/N XXXXX X

Division. . . . . . . . . . . . . . . . . . . . . . DIVISION 1 27 A/N XXXXX X

State (Census) . . . . . . . . . . . . . . . STATECE 2 28 A/N XXXXX X

State (FIPS) . . . . . . . . . . . . . . . . . STATE 2 30 A/N XXXXX X

County ...................... COUNTY 3 32 A/N XXXX X

County Size Code ............ COUNTYSC 2 35 A/N XXXX X

County Subdivision (FIPS) ..... COUSUB 5 37 A/N X X

FIPS County Subdivision Class

Code....................... COUSUBCC 2 42 A/N X X

County Subdivision Size Code . COUSUBSC 2 44 A/N X X

Place (FIPS) . . . . . . . . . . . . . . . . . PLACE 5 46 A/N X

FIPS Place Class Code ....... PLACECC 2 51 A/N X

Place Description Code ....... PLACEDC 1 53 A/N XXXX X

Place Size Code.............. PLACESC 2 54 A/N X

Census Tract................. TRACT 6 56 A/N

Block Group . . . . . . . . . . . . . . . . . BLKGRP 1 62 A/N

Block. . . . . . . . . . . . . . . . . . . . . . . . BLOCK 4 63 A/N

Internal Use Code . . . . . . . . . . . . IUC 2 67 A/N

Consolidated City (FIPS) ...... CONCIT 5 69 A/N

FIPS Consolidated City Class

Code....................... CONCITCC 2 74 A/N

Consolidated City Size Code . . . CONCITSC 2 76 A/N

American Indian Area/Alaska

Native Area/Hawaiian Home

Land (Census) . . . . . . . . . . . . . . AIANHH 4 78 A/N XXXXX X

American Indian Area/Alaska

Native Area/Hawaiian Home

Land (FIPS). . . . . . . . . . . . . . . . . AIANHHFP 5 82 A/N XXXXX X

FIPS American Indian

Area/Alaska Native

Area/Hawaiian Home Land

Class Code . . . . . . . . . . . . . . . . . AIANHHCC 2 87 A/N XXXXX X

American Indian Trust

Land/Hawaiian Home Land

Indicator . . . . . . . . . . . . . . . . . . . . AIHHTLI 1 89 A/N XXXXX X

American Indian Tribal

Subdivision (Census) . . . . . . . . AITSCE 3 90 A/N

American Indian Tribal

Subdivision (FIPS). . . . . . . . . . . AITS 5 93 A/N

FIPS American Indian Tribal

Subdivision Class Code . . . . . . AITSCC 2 98 A/N

Alaska Native Regional

Corporation (FIPS). . . . . . . . . . . ANRC 5 100 A/N

FIPS Alaska Native Regional

Corporation Class Code ...... ANRCCC 2 105 A/N

Metropolitan Statistical

Area/Consolidated

Metropolitan Statistical Area . . MSACMSA 4 107 A/N XXXX X

MSA/CMSA Size Code ........ MASC 2 111 A/N XXXX X

Consolidated Metropolitan

Statistical Area .............. CMSA 2 113 A/N XXXX X

How to Use This File 2–35

U.S. Census Bureau, Census 2000
Figure 2–5. Geographic Header Record—Con.

Summary File 4 National File—Con.

Field

Data

dictionary

reference

name

Field

size

Starting

position

Data

type

Summary levels

264 270 271 272 273 274

Metropolitan Area Central City

Indicator . . . . . . . . . . . . . . . . . . . . MACCI 1 115 A/N XXXX X

Primary Metropolitan Statistical

Area . . . . . . . . . . . . . . . . . . . . . . . PMSA 4 116 A/N XXXX X

New England County

Metropolitan Area............ NECMA 4 120 A/N XXXX X

New England County

Metropolitan Area Central City

Indicator . . . . . . . . . . . . . . . . . . . . NECMACCI 1 124 A/N XXXX X

New England County

Metropolitan Area Size Code. . NECMASC 2 125 A/N XXXX X

Extended Place Indicator . . . . . . EXI 1 127 A/N X

Urban Area . . . . . . . . . . . . . . . . . . UA 5 128 A/N

Urban Area Size Code ........ UASC 2 133 A/N

Urban Area Type . . . . . . . . . . . . . UATYPE 1 135 A/N

Urban/Rural . . . . . . . . . . . . . . . . . . UR 1 136 A/N

Congressional District (106th) . . CD106 2 137 A/N

Congressional District (108th) . . CD108 2 139 A/N

Congressional District (109th) . . CD109 2 141 A/N

Congressional District (110th) . . CD110 2 143 A/N

State Legislative District (Upper

Chamber)................... SLDU 3 145 A/N

State Legislative District (Lower

Chamber)................... SLDL 3 148 A/N

Voting District . . . . . . . . . . . . . . . . VTD 6 151 A/N

Voting District Indicator ........ VTDI 1 157 A/N

ZIP Code Tabulation Area

(3 digit). . . . . . . . . . . . . . . . . . . . . ZCTA3 3 158 A/N

ZIP Code Tabulation Area

(5 digit). . . . . . . . . . . . . . . . . . . . . ZCTA5 5 161 A/N

Subbarrio (FIPS) ............. SUBMCD 5 166 A/N

FIPS Subbarrio Class Code.... SUBMCDCC 2 171 A/N

AREA CHARACTERISTICS

Area (Land) .................. AREALAND 14 173 A/N XXXXX X

Area (Water) . . . . . . . . . . . . . . . . . AREAWATR 14 187 A/N X X X X X X

Area Name – Legal/Statistical

Area Description (LSAD)

Term – Part Indicator. . . . . . . . . NAME 90 201 A/N XXXXX X

Functional Status Code........ FUNCSTAT 1 291 A/N XXXXX X

Geographic Change User Note

Indicator . . . . . . . . . . . . . . . . . . . . GCUNI 1 292 A/N XXXXX X

Population Count (100%) ...... POP100 9 293 A/N XXXXX X

Housing Unit Count (100%) .... HU100 9 302 A/N XXXXX X

Internal Point (Latitude)........ INTPTLAT 9 311 A/N XXXXX X

Internal Point (Longitude) ...... INTPTLON 10 320 A/N XXXXX X

Legal/Statistical Area

Description Code ............ LSADC 2 330 A/N XXXXX X

Part Flag . . . . . . . . . . . . . . . . . . . . PARTFLAG 1 332 A/N XXXXX X

SPECIAL AREA CODES

School District (Elementary).... SDELM 5 333 A/N

School District (Secondary) .... SDSEC 5 338 A/N

School District (Unified) ....... SDUNI 5 343 A/N

Traffic Analysis Zone . . . . . . . . . . TAZ 6 348 A/N

Oregon Urban Growth Area . . . . UGA 5 354 A/N

Public Use Microdata Area –

5% File. . . . . . . . . . . . . . . . . . . . . PUMA5 5 359 A/N

Public Use Microdata Area –

1% File. . . . . . . . . . . . . . . . . . . . . PUMA1 5 364 A/N

Reserved . . . . . . . . . . . . . . . . . . . . RESERVE2 15 369 A/N

Metropolitan Area Central City. . MACC 5 384 A/N

Urban Area Central Place. . . . . . UACP 5 389 A/N

Reserved . . . . . . . . . . . . . . . . . . . . RESERVED 7 394 A/N

2–36 How to Use This File

U.S. Census Bureau, Census 2000
Figure 2–5. Geographic Header Record—Con.

Summary File 4 National File—Con.

Field

Data

dictionary

reference

name

Field

size

Starting

position

Data

type

Summary levels

275 276 277 278 290 291

RECORD CODES

File Identification . . . . . . . . . . . . . FILEID 6 1 A/N XXXXX X

State/US-Abbreviation (USPS) . STUSAB 2 7 AXXXXX

Summary Level............... SUMLEV 3 9 N XXXXX X

Geographic Component ....... GEOCOMP 2 12 A/N XXXXX X

Characteristic Iteration ........ CHARITER 3 14 A/N XXXXX X

Characteristic Iteration File

Sequence Number. . . . . . . . . . . CIFSN 2 17 A/N XXXXX X

Logical Record Number ....... LOGRECNO 7 19 N XXXXX X

GEOGRAPHIC AREA CODES

Region ...................... REGION 1 26 A/N XXXXX

Division. . . . . . . . . . . . . . . . . . . . . . DIVISION 1 27 A/N XXXXX

State (Census) . . . . . . . . . . . . . . . STATECE 2 28 A/N XXXXX

State (FIPS) . . . . . . . . . . . . . . . . . STATE 2 30 A/N XXXXX

County ...................... COUNTY 3 32 A/N XXXX

County Size Code ............ COUNTYSC 2 35 A/N XXXX

County Subdivision (FIPS) ..... COUSUB 5 37 A/N XXXX

FIPS County Subdivision Class

Code....................... COUSUBCC 2 42 A/N XXXX

County Subdivision Size Code . COUSUBSC 2 44 A/N XXXX

Place (FIPS) . . . . . . . . . . . . . . . . . PLACE 5 46 A/N X X

FIPS Place Class Code ....... PLACECC 2 51 A/N X X

Place Description Code ....... PLACEDC 1 53 A/N XXXX

Place Size Code.............. PLACESC 2 54 A/N X X

Census Tract................. TRACT 6 56 A/N X

Block Group . . . . . . . . . . . . . . . . . BLKGRP 1 62 A/N

Block. . . . . . . . . . . . . . . . . . . . . . . . BLOCK 4 63 A/N

Internal Use Code . . . . . . . . . . . . IUC 2 67 A/N

Consolidated City (FIPS) ...... CONCIT 5 69 A/N

FIPS Consolidated City Class

Code....................... CONCITCC 2 74 A/N

Consolidated City Size Code . . . CONCITSC 2 76 A/N

American Indian Area/Alaska

Native Area/Hawaiian Home

Land (Census) . . . . . . . . . . . . . . AIANHH 4 78 A/N XXXXX X

American Indian Area/Alaska

Native Area/Hawaiian Home

Land (FIPS). . . . . . . . . . . . . . . . . AIANHHFP 5 82 A/N XXXXX X

FIPS American Indian

Area/Alaska Native

Area/Hawaiian Home Land

Class Code . . . . . . . . . . . . . . . . . AIANHHCC 2 87 A/N XXXXX X

American Indian Trust

Land/Hawaiian Home Land

Indicator . . . . . . . . . . . . . . . . . . . . AIHHTLI 1 89 A/N XXXXX X

American Indian Tribal

Subdivision (Census) . . . . . . . . AITSCE 3 90 A/N X

American Indian Tribal

Subdivision (FIPS). . . . . . . . . . . AITS 5 93 A/N X

FIPS American Indian Tribal

Subdivision Class Code . . . . . . AITSCC 2 98 A/N X

Alaska Native Regional

Corporation (FIPS). . . . . . . . . . . ANRC 5 100 A/N

FIPS Alaska Native Regional

Corporation Class Code ...... ANRCCC 2 105 A/N

Metropolitan Statistical

Area/Consolidated

Metropolitan Statistical Area . . MSACMSA 4 107 A/N XXXX

MSA/CMSA Size Code ........ MASC 2 111 A/N XXXX

Consolidated Metropolitan

Statistical Area .............. CMSA 2 113 A/N XXXX

How to Use This File 2–37

U.S. Census Bureau, Census 2000
Figure 2–5. Geographic Header Record—Con.

Summary File 4 National File—Con.

Field

Data

dictionary

reference

name

Field

size

Starting

position

Data

type

Summary levels

275 276 277 278 290 291

Metropolitan Area Central City

Indicator . . . . . . . . . . . . . . . . . . . . MACCI 1 115 A/N XXXX

Primary Metropolitan Statistical

Area . . . . . . . . . . . . . . . . . . . . . . . PMSA 4 116 A/N XXXX

New England County

Metropolitan Area............ NECMA 4 120 A/N XXXX

New England County

Metropolitan Area Central City

Indicator . . . . . . . . . . . . . . . . . . . . NECMACCI 1 124 A/N XXXX

New England County

Metropolitan Area Size Code. . NECMASC 2 125 A/N XXXX

Extended Place Indicator . . . . . . EXI 1 127 A/N X X

Urban Area . . . . . . . . . . . . . . . . . . UA 5 128 A/N

Urban Area Size Code ........ UASC 2 133 A/N

Urban Area Type . . . . . . . . . . . . . UATYPE 1 135 A/N

Urban/Rural . . . . . . . . . . . . . . . . . . UR 1 136 A/N

Congressional District (106th) . . CD106 2 137 A/N

Congressional District (108th) . . CD108 2 139 A/N

Congressional District (109th) . . CD109 2 141 A/N

Congressional District (110th) . . CD110 2 143 A/N

State Legislative District (Upper

Chamber)................... SLDU 3 145 A/N

State Legislative District (Lower

Chamber)................... SLDL 3 148 A/N

Voting District . . . . . . . . . . . . . . . . VTD 6 151 A/N

Voting District Indicator ........ VTDI 1 157 A/N

ZIP Code Tabulation Area

(3 digit). . . . . . . . . . . . . . . . . . . . . ZCTA3 3 158 A/N

ZIP Code Tabulation Area

(5 digit). . . . . . . . . . . . . . . . . . . . . ZCTA5 5 161 A/N

Subbarrio (FIPS) ............. SUBMCD 5 166 A/N

FIPS Subbarrio Class Code.... SUBMCDCC 2 171 A/N

AREA CHARACTERISTICS

Area (Land) .................. AREALAND 14 173 A/N XXXXX X

Area (Water) . . . . . . . . . . . . . . . . . AREAWATR 14 187 A/N X X X X X X

Area Name – Legal/Statistical

Area Description (LSAD)

Term – Part Indicator. . . . . . . . . NAME 90 201 A/N XXXXX X

Functional Status Code........ FUNCSTAT 1 291 A/N XXXXX X

Geographic Change User Note

Indicator . . . . . . . . . . . . . . . . . . . . GCUNI 1 292 A/N XXXXX

Population Count (100%) ...... POP100 9 293 A/N XXXXX X

Housing Unit Count (100%) .... HU100 9 302 A/N XXXXX X

Internal Point (Latitude)........ INTPTLAT 9 311 A/N XXXXX X

Internal Point (Longitude) ...... INTPTLON 10 320 A/N XXXXX X

Legal/Statistical Area

Description Code ............ LSADC 2 330 A/N XXXXX

Part Flag . . . . . . . . . . . . . . . . . . . . PARTFLAG 1 332 A/N XXXXX X

SPECIAL AREA CODES

School District (Elementary).... SDELM 5 333 A/N

School District (Secondary) .... SDSEC 5 338 A/N

School District (Unified) ....... SDUNI 5 343 A/N

Traffic Analysis Zone . . . . . . . . . . TAZ 6 348 A/N

Oregon Urban Growth Area . . . . UGA 5 354 A/N

Public Use Microdata Area –

5% File. . . . . . . . . . . . . . . . . . . . . PUMA5 5 359 A/N

Public Use Microdata Area –

1% File. . . . . . . . . . . . . . . . . . . . . PUMA1 5 364 A/N

Reserved . . . . . . . . . . . . . . . . . . . . RESERVE2 15 369 A/N

Metropolitan Area Central City. . MACC 5 384 A/N

Urban Area Central Place. . . . . . UACP 5 389 A/N

Reserved . . . . . . . . . . . . . . . . . . . . RESERVED 7 394 A/N

2–38 How to Use This File

U.S. Census Bureau, Census 2000
Figure 2–5. Geographic Header Record—Con.

Summary File 4 National File—Con.

Field

Data

dictionary

reference

name

Field

size

Starting

position

Data

type

Summary levels

292 370 371 372

RECORD CODES

File Identification . . . . . . . . . . . . . FILEID 6 1 A/N X X X X

State/US-Abbreviation (USPS) . STUSAB 2 7 A X X

Summary Level............... SUMLEV 3 9 N X X X X

Geographic Component ....... GEOCOMP 2 12 A/N X X X X

Characteristic Iteration ........ CHARITER 3 14 A/N X X X X

Characteristic Iteration File

Sequence Number. . . . . . . . . . . CIFSN 2 17 A/N X X X X

Logical Record Number ....... LOGRECNO 7 19 N X X X X

GEOGRAPHIC AREA CODES

Region ...................... REGION 1 26 A/N X X

Division. . . . . . . . . . . . . . . . . . . . . . DIVISION 1 27 A/N X X

State (Census) . . . . . . . . . . . . . . . STATECE 2 28 A/N X X

State (FIPS) . . . . . . . . . . . . . . . . . STATE 2 30 A/N X X

County ...................... COUNTY 3 32 A/N

County Size Code ............ COUNTYSC 2 35 A/N

County Subdivision (FIPS) ..... COUSUB 5 37 A/N

FIPS County Subdivision Class

Code....................... COUSUBCC 2 42 A/N

County Subdivision Size Code . COUSUBSC 2 44 A/N

Place (FIPS) . . . . . . . . . . . . . . . . . PLACE 5 46 A/N X

FIPS Place Class Code ....... PLACECC 2 51 A/N X

Place Description Code ....... PLACEDC 1 53 A/N X

Place Size Code.............. PLACESC 2 54 A/N X

Census Tract................. TRACT 6 56 A/N X

Block Group . . . . . . . . . . . . . . . . . BLKGRP 1 62 A/N

Block. . . . . . . . . . . . . . . . . . . . . . . . BLOCK 4 63 A/N

Internal Use Code . . . . . . . . . . . . IUC 2 67 A/N

Consolidated City (FIPS) ...... CONCIT 5 69 A/N

FIPS Consolidated City Class

Code....................... CONCITCC 2 74 A/N

Consolidated City Size Code . . . CONCITSC 2 76 A/N

American Indian Area/Alaska

Native Area/Hawaiian Home

Land (Census) . . . . . . . . . . . . . . AIANHH 4 78 A/N X

American Indian Area/Alaska

Native Area/Hawaiian Home

Land (FIPS). . . . . . . . . . . . . . . . . AIANHHFP 5 82 A/N X

FIPS American Indian

Area/Alaska Native

Area/Hawaiian Home Land

Class Code . . . . . . . . . . . . . . . . . AIANHHCC 2 87 A/N X

American Indian Trust

Land/Hawaiian Home Land

Indicator . . . . . . . . . . . . . . . . . . . . AIHHTLI 1 89 A/N X

American Indian Tribal

Subdivision (Census) . . . . . . . . AITSCE 3 90 A/N

American Indian Tribal

Subdivision (FIPS). . . . . . . . . . . AITS 5 93 A/N

FIPS American Indian Tribal

Subdivision Class Code . . . . . . AITSCC 2 98 A/N

Alaska Native Regional

Corporation (FIPS). . . . . . . . . . . ANRC 5 100 A/N

FIPS Alaska Native Regional

Corporation Class Code ...... ANRCCC 2 105 A/N

Metropolitan Statistical

Area/Consolidated

Metropolitan Statistical Area . . MSACMSA 4 107 A/N

MSA/CMSA Size Code ........ MASC 2 111 A/N

Consolidated Metropolitan

Statistical Area .............. CMSA 2 113 A/N

How to Use This File 2–39

U.S. Census Bureau, Census 2000
Figure 2–5. Geographic Header Record—Con.

Summary File 4 National File—Con.

Field

Data

dictionary

reference

name

Field

size

Starting

position

Data

type

Summary levels

292 370 371 372

Metropolitan Area Central City

Indicator . . . . . . . . . . . . . . . . . . . . MACCI 1 115 A/N

Primary Metropolitan Statistical

Area . . . . . . . . . . . . . . . . . . . . . . . PMSA 4 116 A/N

New England County

Metropolitan Area............ NECMA 4 120 A/N X X X

New England County

Metropolitan Area Central City

Indicator . . . . . . . . . . . . . . . . . . . . NECMACCI 1 124 A/N X

New England County

Metropolitan Area Size Code. . NECMASC 2 125 A/N X X X

Extended Place Indicator . . . . . . EXI 1 127 A/N X

Urban Area . . . . . . . . . . . . . . . . . . UA 5 128 A/N

Urban Area Size Code ........ UASC 2 133 A/N

Urban Area Type . . . . . . . . . . . . . UATYPE 1 135 A/N

Urban/Rural . . . . . . . . . . . . . . . . . . UR 1 136 A/N

Congressional District (106th) . . CD106 2 137 A/N

Congressional District (108th) . . CD108 2 139 A/N

Congressional District (109th) . . CD109 2 141 A/N

Congressional District (110th) . . CD110 2 143 A/N

State Legislative District (Upper

Chamber)................... SLDU 3 145 A/N

State Legislative District (Lower

Chamber)................... SLDL 3 148 A/N

Voting District . . . . . . . . . . . . . . . . VTD 6 151 A/N

Voting District Indicator ........ VTDI 1 157 A/N

ZIP Code Tabulation Area

(3 digit). . . . . . . . . . . . . . . . . . . . . ZCTA3 3 158 A/N

ZIP Code Tabulation Area

(5 digit). . . . . . . . . . . . . . . . . . . . . ZCTA5 5 161 A/N

Subbarrio (FIPS) ............. SUBMCD 5 166 A/N

FIPS Subbarrio Class Code.... SUBMCDCC 2 171 A/N

AREA CHARACTERISTICS

Area (Land) .................. AREALAND 14 173 A/N X X X X

Area (Water) . . . . . . . . . . . . . . . . . AREAWATR 14 187 A/N X X X X

Area Name – Legal/Statistical

Area Description (LSAD)

Term – Part Indicator. . . . . . . . . NAME 90 201 A/N X X X X

Functional Status Code........ FUNCSTAT 1 291 A/N X X X X

Geographic Change User Note

Indicator . . . . . . . . . . . . . . . . . . . . GCUNI 1 292 A/N X X X

Population Count (100%) ...... POP100 9 293 A/N X X X X

Housing Unit Count (100%) .... HU100 9 302 A/N X X X X

Internal Point (Latitude)........ INTPTLAT 9 311 A/N X X X X

Internal Point (Longitude) ...... INTPTLON 10 320 A/N X X X X

Legal/Statistical Area

Description Code ............ LSADC 2 330 A/N X X X

Part Flag . . . . . . . . . . . . . . . . . . . . PARTFLAG 1 332 A/N X X X

SPECIAL AREA CODES

School District (Elementary).... SDELM 5 333 A/N

School District (Secondary) .... SDSEC 5 338 A/N

School District (Unified) ....... SDUNI 5 343 A/N

Traffic Analysis Zone . . . . . . . . . . TAZ 6 348 A/N

Oregon Urban Growth Area . . . . UGA 5 354 A/N

Public Use Microdata Area –

5% File. . . . . . . . . . . . . . . . . . . . . PUMA5 5 359 A/N

Public Use Microdata Area –

1% File. . . . . . . . . . . . . . . . . . . . . PUMA1 5 364 A/N

Reserved . . . . . . . . . . . . . . . . . . . . RESERVE2 15 369 A/N

Metropolitan Area Central City. . MACC 5 384 A/N X

Urban Area Central Place. . . . . . UACP 5 389 A/N

Reserved . . . . . . . . . . . . . . . . . . . . RESERVED 7 394 A/N

2–40 How to Use This File

U.S. Census Bureau, Census 2000
Figure 2–5. Geographic Header Record—Con.

Summary File 4 National File—Con.

Field

Data

dictionary

reference

name

Field

size

Starting

position

Data

type

Summary levels

373 380 381 382 383 384

RECORD CODES

File Identification . . . . . . . . . . . . . FILEID 6 1 A/N XXXXX X

State/US-Abbreviation (USPS) . STUSAB 2 7 A X X X X X

Summary Level............... SUMLEV 3 9 N XXXXX X

Geographic Component ....... GEOCOMP 2 12 A/N XXXXX X

Characteristic Iteration ........ CHARITER 3 14 A/N XXXXX X

Characteristic Iteration File

Sequence Number. . . . . . . . . . . CIFSN 2 17 A/N XXXXX X

Logical Record Number ....... LOGRECNO 7 19 N XXXXX X

GEOGRAPHIC AREA CODES

Region ...................... REGION 1 26 A/N X X X X X

Division. . . . . . . . . . . . . . . . . . . . . . DIVISION 1 27 A/N X X X X X

State (Census) . . . . . . . . . . . . . . . STATECE 2 28 A/N X X X X X

State (FIPS) . . . . . . . . . . . . . . . . . STATE 2 30 A/N X X X X X

County ...................... COUNTY 3 32 A/N X X X

County Size Code ............ COUNTYSC 2 35 A/N X X X

County Subdivision (FIPS) ..... COUSUB 5 37 A/N X

FIPS County Subdivision Class

Code....................... COUSUBCC 2 42 A/N X

County Subdivision Size Code . COUSUBSC 2 44 A/N X

Place (FIPS) . . . . . . . . . . . . . . . . . PLACE 5 46 A/N X

FIPS Place Class Code ....... PLACECC 2 51 A/N X

Place Description Code ....... PLACEDC 1 53 A/N X X X X

Place Size Code.............. PLACESC 2 54 A/N X

Census Tract................. TRACT 6 56 A/N

Block Group . . . . . . . . . . . . . . . . . BLKGRP 1 62 A/N

Block. . . . . . . . . . . . . . . . . . . . . . . . BLOCK 4 63 A/N

Internal Use Code . . . . . . . . . . . . IUC 2 67 A/N

Consolidated City (FIPS) ...... CONCIT 5 69 A/N

FIPS Consolidated City Class

Code....................... CONCITCC 2 74 A/N

Consolidated City Size Code . . . CONCITSC 2 76 A/N

American Indian Area/Alaska

Native Area/Hawaiian Home

Land (Census) . . . . . . . . . . . . . . AIANHH 4 78 A/N

American Indian Area/Alaska

Native Area/Hawaiian Home

Land (FIPS). . . . . . . . . . . . . . . . . AIANHHFP 5 82 A/N

FIPS American Indian

Area/Alaska Native

Area/Hawaiian Home Land

Class Code . . . . . . . . . . . . . . . . . AIANHHCC 2 87 A/N

American Indian Trust

Land/Hawaiian Home Land

Indicator . . . . . . . . . . . . . . . . . . . . AIHHTLI 1 89 A/N

American Indian Tribal

Subdivision (Census) . . . . . . . . AITSCE 3 90 A/N

American Indian Tribal

Subdivision (FIPS). . . . . . . . . . . AITS 5 93 A/N

FIPS American Indian Tribal

Subdivision Class Code . . . . . . AITSCC 2 98 A/N

Alaska Native Regional

Corporation (FIPS). . . . . . . . . . . ANRC 5 100 A/N

FIPS Alaska Native Regional

Corporation Class Code ...... ANRCCC 2 105 A/N

Metropolitan Statistical

Area/Consolidated

Metropolitan Statistical Area . . MSACMSA 4 107 A/N XXXX X

MSA/CMSA Size Code ........ MASC 2 111 A/N XXXX X

Consolidated Metropolitan

Statistical Area .............. CMSA 2 113 A/N XXXX X

How to Use This File 2–41

U.S. Census Bureau, Census 2000
Figure 2–5. Geographic Header Record—Con.

Summary File 4 National File—Con.

Field

Data

dictionary

reference

name

Field

size

Starting

position

Data

type

Summary levels

373 380 381 382 383 384

Metropolitan Area Central City

Indicator . . . . . . . . . . . . . . . . . . . . MACCI 1 115 A/N X X X

Primary Metropolitan Statistical

Area . . . . . . . . . . . . . . . . . . . . . . . PMSA 4 116 A/N

New England County

Metropolitan Area............ NECMA 4 120 A/N X

New England County

Metropolitan Area Central City

Indicator . . . . . . . . . . . . . . . . . . . . NECMACCI 1 124 A/N X

New England County

Metropolitan Area Size Code. . NECMASC 2 125 A/N X

Extended Place Indicator . . . . . . EXI 1 127 A/N X

Urban Area . . . . . . . . . . . . . . . . . . UA 5 128 A/N

Urban Area Size Code ........ UASC 2 133 A/N

Urban Area Type . . . . . . . . . . . . . UATYPE 1 135 A/N

Urban/Rural . . . . . . . . . . . . . . . . . . UR 1 136 A/N

Congressional District (106th) . . CD106 2 137 A/N

Congressional District (108th) . . CD108 2 139 A/N

Congressional District (109th) . . CD109 2 141 A/N

Congressional District (110th) . . CD110 2 143 A/N

State Legislative District (Upper

Chamber)................... SLDU 3 145 A/N

State Legislative District (Lower

Chamber)................... SLDL 3 148 A/N

Voting District . . . . . . . . . . . . . . . . VTD 6 151 A/N

Voting District Indicator ........ VTDI 1 157 A/N

ZIP Code Tabulation Area

(3 digit). . . . . . . . . . . . . . . . . . . . . ZCTA3 3 158 A/N

ZIP Code Tabulation Area

(5 digit). . . . . . . . . . . . . . . . . . . . . ZCTA5 5 161 A/N

Subbarrio (FIPS) ............. SUBMCD 5 166 A/N

FIPS Subbarrio Class Code.... SUBMCDCC 2 171 A/N

AREA CHARACTERISTICS

Area (Land) .................. AREALAND 14 173 A/N XXXXX X

Area (Water) . . . . . . . . . . . . . . . . . AREAWATR 14 187 A/N X X X X X X

Area Name – Legal/Statistical

Area Description (LSAD)

Term – Part Indicator. . . . . . . . . NAME 90 201 A/N XXXXX X

Functional Status Code........ FUNCSTAT 1 291 A/N XXXXX X

Geographic Change User Note

Indicator . . . . . . . . . . . . . . . . . . . . GCUNI 1 292 A/N XXXXX X

Population Count (100%) ...... POP100 9 293 A/N XXXXX X

Housing Unit Count (100%) .... HU100 9 302 A/N XXXXX X

Internal Point (Latitude)........ INTPTLAT 9 311 A/N XXXXX X

Internal Point (Longitude) ...... INTPTLON 10 320 A/N XXXXX X

Legal/Statistical Area

Description Code ............ LSADC 2 330 A/N XXXXX X

Part Flag . . . . . . . . . . . . . . . . . . . . PARTFLAG 1 332 A/N X X X

SPECIAL AREA CODES

School District (Elementary).... SDELM 5 333 A/N

School District (Secondary) .... SDSEC 5 338 A/N

School District (Unified) ....... SDUNI 5 343 A/N

Traffic Analysis Zone . . . . . . . . . . TAZ 6 348 A/N

Oregon Urban Growth Area . . . . UGA 5 354 A/N

Public Use Microdata Area –

5% File. . . . . . . . . . . . . . . . . . . . . PUMA5 5 359 A/N

Public Use Microdata Area –

1% File. . . . . . . . . . . . . . . . . . . . . PUMA1 5 364 A/N

Reserved . . . . . . . . . . . . . . . . . . . . RESERVE2 15 369 A/N

Metropolitan Area Central City. . MACC 5 384 A/N X

Urban Area Central Place. . . . . . UACP 5 389 A/N

Reserved . . . . . . . . . . . . . . . . . . . . RESERVED 7 394 A/N

2–42 How to Use This File

U.S. Census Bureau, Census 2000
Figure 2–5. Geographic Header Record—Con.

Summary File 4 National File—Con.

Field

Data

dictionary

reference

name

Field

size

Starting

position

Data

type

Summary levels

385 386 387 388 400 410

RECORD CODES

File Identification . . . . . . . . . . . . . FILEID 6 1 A/N XXXXX X

State/US-Abbreviation (USPS) . STUSAB 2 7 A X X X X

Summary Level............... SUMLEV 3 9 N XXXXX X

Geographic Component ....... GEOCOMP 2 12 A/N XXXXX X

Characteristic Iteration ........ CHARITER 3 14 A/N XXXXX X

Characteristic Iteration File

Sequence Number. . . . . . . . . . . CIFSN 2 17 A/N XXXXX X

Logical Record Number ....... LOGRECNO 7 19 N XXXXX X

GEOGRAPHIC AREA CODES

Region ...................... REGION 1 26 A/N X X X X

Division. . . . . . . . . . . . . . . . . . . . . . DIVISION 1 27 A/N X X X X

State (Census) . . . . . . . . . . . . . . . STATECE 2 28 A/N X X X X

State (FIPS) . . . . . . . . . . . . . . . . . STATE 2 30 A/N X X X X

County ...................... COUNTY 3 32 A/N X X

County Size Code ............ COUNTYSC 2 35 A/N X X

County Subdivision (FIPS) ..... COUSUB 5 37 A/N X

FIPS County Subdivision Class

Code....................... COUSUBCC 2 42 A/N X

County Subdivision Size Code . COUSUBSC 2 44 A/N X

Place (FIPS) . . . . . . . . . . . . . . . . . PLACE 5 46 A/N

FIPS Place Class Code ....... PLACECC 2 51 A/N

Place Description Code ....... PLACEDC 1 53 A/N X X

Place Size Code.............. PLACESC 2 54 A/N

Census Tract................. TRACT 6 56 A/N

Block Group . . . . . . . . . . . . . . . . . BLKGRP 1 62 A/N

Block. . . . . . . . . . . . . . . . . . . . . . . . BLOCK 4 63 A/N

Internal Use Code . . . . . . . . . . . . IUC 2 67 A/N

Consolidated City (FIPS) ...... CONCIT 5 69 A/N

FIPS Consolidated City Class

Code....................... CONCITCC 2 74 A/N

Consolidated City Size Code . . . CONCITSC 2 76 A/N

American Indian Area/Alaska

Native Area/Hawaiian Home

Land (Census) . . . . . . . . . . . . . . AIANHH 4 78 A/N

American Indian Area/Alaska

Native Area/Hawaiian Home

Land (FIPS). . . . . . . . . . . . . . . . . AIANHHFP 5 82 A/N

FIPS American Indian

Area/Alaska Native

Area/Hawaiian Home Land

Class Code . . . . . . . . . . . . . . . . . AIANHHCC 2 87 A/N

American Indian Trust

Land/Hawaiian Home Land

Indicator . . . . . . . . . . . . . . . . . . . . AIHHTLI 1 89 A/N

American Indian Tribal

Subdivision (Census) . . . . . . . . AITSCE 3 90 A/N

American Indian Tribal

Subdivision (FIPS). . . . . . . . . . . AITS 5 93 A/N

FIPS American Indian Tribal

Subdivision Class Code . . . . . . AITSCC 2 98 A/N

Alaska Native Regional

Corporation (FIPS). . . . . . . . . . . ANRC 5 100 A/N

FIPS Alaska Native Regional

Corporation Class Code ...... ANRCCC 2 105 A/N

Metropolitan Statistical

Area/Consolidated

Metropolitan Statistical Area . . MSACMSA 4 107 A/N XXXX

MSA/CMSA Size Code ........ MASC 2 111 A/N XXXX

Consolidated Metropolitan

Statistical Area .............. CMSA 2 113 A/N XXXX

How to Use This File 2–43

U.S. Census Bureau, Census 2000
Figure 2–5. Geographic Header Record—Con.

Summary File 4 National File—Con.

Field

Data

dictionary

reference

name

Field

size

Starting

position

Data

type

Summary levels

385 386 387 388 400 410

Metropolitan Area Central City

Indicator . . . . . . . . . . . . . . . . . . . . MACCI 1 115 A/N X X

Primary Metropolitan Statistical

Area . . . . . . . . . . . . . . . . . . . . . . . PMSA 4 116 A/N XXXX

New England County

Metropolitan Area............ NECMA 4 120 A/N

New England County

Metropolitan Area Central City

Indicator . . . . . . . . . . . . . . . . . . . . NECMACCI 1 124 A/N

New England County

Metropolitan Area Size Code. . NECMASC 2 125 A/N

Extended Place Indicator . . . . . . EXI 1 127 A/N

Urban Area . . . . . . . . . . . . . . . . . . UA 5 128 A/N X X

Urban Area Size Code ........ UASC 2 133 A/N X X

Urban Area Type . . . . . . . . . . . . . UATYPE 1 135 A/N X X

Urban/Rural . . . . . . . . . . . . . . . . . . UR 1 136 A/N X X

Congressional District (106th) . . CD106 2 137 A/N

Congressional District (108th) . . CD108 2 139 A/N

Congressional District (109th) . . CD109 2 141 A/N

Congressional District (110th) . . CD110 2 143 A/N

State Legislative District (Upper

Chamber)................... SLDU 3 145 A/N

State Legislative District (Lower

Chamber)................... SLDL 3 148 A/N

Voting District . . . . . . . . . . . . . . . . VTD 6 151 A/N

Voting District Indicator ........ VTDI 1 157 A/N

ZIP Code Tabulation Area

(3 digit). . . . . . . . . . . . . . . . . . . . . ZCTA3 3 158 A/N

ZIP Code Tabulation Area

(5 digit). . . . . . . . . . . . . . . . . . . . . ZCTA5 5 161 A/N

Subbarrio (FIPS) ............. SUBMCD 5 166 A/N

FIPS Subbarrio Class Code.... SUBMCDCC 2 171 A/N

AREA CHARACTERISTICS

Area (Land) .................. AREALAND 14 173 A/N XXXXX X

Area (Water) . . . . . . . . . . . . . . . . . AREAWATR 14 187 A/N X X X X X X

Area Name – Legal/Statistical

Area Description (LSAD)

Term – Part Indicator. . . . . . . . . NAME 90 201 A/N XXXXX X

Functional Status Code........ FUNCSTAT 1 291 A/N XXXXX X

Geographic Change User Note

Indicator . . . . . . . . . . . . . . . . . . . . GCUNI 1 292 A/N XXXX X

Population Count (100%) ...... POP100 9 293 A/N XXXXX X

Housing Unit Count (100%) .... HU100 9 302 A/N XXXXX X

Internal Point (Latitude)........ INTPTLAT 9 311 A/N XXXXX X

Internal Point (Longitude) ...... INTPTLON 10 320 A/N XXXXX X

Legal/Statistical Area

Description Code ............ LSADC 2 330 A/N XXXXX X

Part Flag . . . . . . . . . . . . . . . . . . . . PARTFLAG 1 332 A/N X X X

SPECIAL AREA CODES

School District (Elementary).... SDELM 5 333 A/N

School District (Secondary) .... SDSEC 5 338 A/N

School District (Unified) ....... SDUNI 5 343 A/N

Traffic Analysis Zone . . . . . . . . . . TAZ 6 348 A/N

Oregon Urban Growth Area . . . . UGA 5 354 A/N

Public Use Microdata Area –

5% File. . . . . . . . . . . . . . . . . . . . . PUMA5 5 359 A/N

Public Use Microdata Area –

1% File. . . . . . . . . . . . . . . . . . . . . PUMA1 5 364 A/N

Reserved . . . . . . . . . . . . . . . . . . . . RESERVE2 15 369 A/N

Metropolitan Area Central City. . MACC 5 384 A/N

Urban Area Central Place. . . . . . UACP 5 389 A/N

Reserved . . . . . . . . . . . . . . . . . . . . RESERVED 7 394 A/N

2–44 How to Use This File

U.S. Census Bureau, Census 2000
Figure 2–5. Geographic Header Record—Con.

Summary File 4 National File—Con.

Field

Data

dictionary

reference

name

Field

size

Starting

position

Data

type

Summary levels

430 440 450 460 462 464

RECORD CODES

File Identification . . . . . . . . . . . . . FILEID 6 1 A/N XXXXX X

State/US-Abbreviation (USPS) . STUSAB 2 7 AXXXXX X

Summary Level............... SUMLEV 3 9 N XXXXX X

Geographic Component ....... GEOCOMP 2 12 A/N XXXXX X

Characteristic Iteration ........ CHARITER 3 14 A/N XXXXX X

Characteristic Iteration File

Sequence Number. . . . . . . . . . . CIFSN 2 17 A/N XXXXX X

Logical Record Number ....... LOGRECNO 7 19 N XXXXX X

GEOGRAPHIC AREA CODES

Region ...................... REGION 1 26 A/N XXXXX X

Division. . . . . . . . . . . . . . . . . . . . . . DIVISION 1 27 A/N XXXXX X

State (Census) . . . . . . . . . . . . . . . STATECE 2 28 A/N XXXXX X

State (FIPS) . . . . . . . . . . . . . . . . . STATE 2 30 A/N XXXXX X

County ...................... COUNTY 3 32 A/N X X X

County Size Code ............ COUNTYSC 2 35 A/N X X X

County Subdivision (FIPS) ..... COUSUB 5 37 A/N X X

FIPS County Subdivision Class

Code....................... COUSUBCC 2 42 A/N X X

County Subdivision Size Code . COUSUBSC 2 44 A/N X X

Place (FIPS) . . . . . . . . . . . . . . . . . PLACE 5 46 A/N X X X

FIPS Place Class Code ....... PLACECC 2 51 A/N X X X

Place Description Code ....... PLACEDC 1 53 A/N XXXXX X

Place Size Code.............. PLACESC 2 54 A/N X X X

Census Tract................. TRACT 6 56 A/N

Block Group . . . . . . . . . . . . . . . . . BLKGRP 1 62 A/N

Block. . . . . . . . . . . . . . . . . . . . . . . . BLOCK 4 63 A/N

Internal Use Code . . . . . . . . . . . . IUC 2 67 A/N

Consolidated City (FIPS) ...... CONCIT 5 69 A/N X X X

FIPS Consolidated City Class

Code....................... CONCITCC 2 74 A/N X X X

Consolidated City Size Code . . . CONCITSC 2 76 A/N X X X

American Indian Area/Alaska

Native Area/Hawaiian Home

Land (Census) . . . . . . . . . . . . . . AIANHH 4 78 A/N

American Indian Area/Alaska

Native Area/Hawaiian Home

Land (FIPS). . . . . . . . . . . . . . . . . AIANHHFP 5 82 A/N

FIPS American Indian

Area/Alaska Native

Area/Hawaiian Home Land

Class Code . . . . . . . . . . . . . . . . . AIANHHCC 2 87 A/N

American Indian Trust

Land/Hawaiian Home Land

Indicator . . . . . . . . . . . . . . . . . . . . AIHHTLI 1 89 A/N

American Indian Tribal

Subdivision (Census) . . . . . . . . AITSCE 3 90 A/N

American Indian Tribal

Subdivision (FIPS). . . . . . . . . . . AITS 5 93 A/N

FIPS American Indian Tribal

Subdivision Class Code . . . . . . AITSCC 2 98 A/N

Alaska Native Regional

Corporation (FIPS). . . . . . . . . . . ANRC 5 100 A/N

FIPS Alaska Native Regional

Corporation Class Code ...... ANRCCC 2 105 A/N

Metropolitan Statistical

Area/Consolidated

Metropolitan Statistical Area . . MSACMSA 4 107 A/N XXXXX X

MSA/CMSA Size Code ........ MASC 2 111 A/N XXXXX X

Consolidated Metropolitan

Statistical Area .............. CMSA 2 113 A/N XXXXX X

How to Use This File 2–45

U.S. Census Bureau, Census 2000
Figure 2–5. Geographic Header Record—Con.

Summary File 4 National File—Con.

Field

Data

dictionary

reference

name

Field

size

Starting

position

Data

type

Summary levels

430 440 450 460 462 464

Metropolitan Area Central City

Indicator . . . . . . . . . . . . . . . . . . . . MACCI 1 115 A/N XXXXX X

Primary Metropolitan Statistical

Area . . . . . . . . . . . . . . . . . . . . . . . PMSA 4 116 A/N XXXXX X

New England County

Metropolitan Area............ NECMA 4 120 A/N XXXXX X

New England County

Metropolitan Area Central City

Indicator . . . . . . . . . . . . . . . . . . . . NECMACCI 1 124 A/N XXXXX X

New England County

Metropolitan Area Size Code. . NECMASC 2 125 A/N XXXXX X

Extended Place Indicator . . . . . . EXI 1 127 A/N X X X X

Urban Area . . . . . . . . . . . . . . . . . . UA 5 128 A/N XXXXX X

Urban Area Size Code ........ UASC 2 133 A/N XXXXX X

Urban Area Type . . . . . . . . . . . . . UATYPE 1 135 A/N XXXXX X

Urban/Rural . . . . . . . . . . . . . . . . . . UR 1 136 A/N XXXXX X

Congressional District (106th) . . CD106 2 137 A/N

Congressional District (108th) . . CD108 2 139 A/N

Congressional District (109th) . . CD109 2 141 A/N

Congressional District (110th) . . CD110 2 143 A/N

State Legislative District (Upper

Chamber)................... SLDU 3 145 A/N

State Legislative District (Lower

Chamber)................... SLDL 3 148 A/N

Voting District . . . . . . . . . . . . . . . . VTD 6 151 A/N

Voting District Indicator ........ VTDI 1 157 A/N

ZIP Code Tabulation Area

(3 digit). . . . . . . . . . . . . . . . . . . . . ZCTA3 3 158 A/N

ZIP Code Tabulation Area

(5 digit). . . . . . . . . . . . . . . . . . . . . ZCTA5 5 161 A/N

Subbarrio (FIPS) ............. SUBMCD 5 166 A/N

FIPS Subbarrio Class Code.... SUBMCDCC 2 171 A/N

AREA CHARACTERISTICS

Area (Land) .................. AREALAND 14 173 A/N XXXXX X

Area (Water) . . . . . . . . . . . . . . . . . AREAWATR 14 187 A/N X X X X X X

Area Name – Legal/Statistical

Area Description (LSAD)

Term – Part Indicator. . . . . . . . . NAME 90 201 A/N XXXXX X

Functional Status Code........ FUNCSTAT 1 291 A/N XXXXX X

Geographic Change User Note

Indicator . . . . . . . . . . . . . . . . . . . . GCUNI 1 292 A/N XXXXX X

Population Count (100%) ...... POP100 9 293 A/N XXXXX X

Housing Unit Count (100%) .... HU100 9 302 A/N XXXXX X

Internal Point (Latitude)........ INTPTLAT 9 311 A/N XXXXX X

Internal Point (Longitude) ...... INTPTLON 10 320 A/N XXXXX X

Legal/Statistical Area

Description Code ............ LSADC 2 330 A/N XXXXX X

Part Flag . . . . . . . . . . . . . . . . . . . . PARTFLAG 1 332 A/N XXXXX X

SPECIAL AREA CODES

School District (Elementary).... SDELM 5 333 A/N

School District (Secondary) .... SDSEC 5 338 A/N

School District (Unified) ....... SDUNI 5 343 A/N

Traffic Analysis Zone . . . . . . . . . . TAZ 6 348 A/N

Oregon Urban Growth Area . . . . UGA 5 354 A/N

Public Use Microdata Area –

5% File. . . . . . . . . . . . . . . . . . . . . PUMA5 5 359 A/N

Public Use Microdata Area –

1% File. . . . . . . . . . . . . . . . . . . . . PUMA1 5 364 A/N

Reserved . . . . . . . . . . . . . . . . . . . . RESERVE2 15 369 A/N

Metropolitan Area Central City. . MACC 5 384 A/N

Urban Area Central Place. . . . . . UACP 5 389 A/N X

Reserved . . . . . . . . . . . . . . . . . . . . RESERVED 7 394 A/N

2–46 How to Use This File

U.S. Census Bureau, Census 2000
Chapter 3

Subject Locator

CONTENTS

Page

General Information ............................................................................. 3–1

Subject Locator .................................................................................. 3–1

GENERAL INFORMATION

The Subject Locator is an index designed to quickly identify the tables (matrices) in the summary

file. This index is arranged in alphabetical order by the name of a subject. Under each subject

heading appears the universe or the type of entry being tabulated (shown in italics) and the

relevant table number. Each variable is arranged alphabetically by universe, then by variable of

cross tabulation, if any. If you are looking for a table tabulating age by sex for all individuals,

check the index under either of the two variables (‘‘age’’ or ‘‘sex’’).

Please note that if the universe of a table (matrix) is ‘‘Households,’’ ‘‘Families,’’ ‘‘Occupied housing

units,’’ ‘‘Population in households,’’ ‘‘Population in families,’’ or ‘‘Population in occupied housing

units,’’ the universe is classified by the race or ethnic group, and ancestry group of the

householder. See Appendix H, Characteristic Iterations, for the list of race, ethnic, and ancestry

groups available for this summary file.

SUBJECT LOCATOR

Subject Table numbers

Ability to Speak English

Population 5 Years and Over

by Age by Language Spoken at Home ................................................ PCT38

by Nativity by Language Spoken at Home............................................ PCT39

Age

Civilian Noninstitutionalized Population 5 Years and Over

by Sex by Disability Status by Employment Status ................................... PCT70

by Sex by Mental Disability by Employment Status .................................. PCT73

by Sex by Physical Disability by Employment Status ................................ PCT72

by Sex by Self-Care Disability by Employment Status ................................ PCT74

by Sex by Sensory Disability by Employment Status ................................. PCT71

by Sex by Types of Disability ........................................................ PCT69

Civilian Noninstitutionalized Population 5 Years and Over for Whom Poverty Status

is Determined

by Poverty Status by Disability Status ............................................... PCT148

by Sex by Disability Status by Poverty Status ....................................... PCT78

Civilian Noninstitutionalized Population 16 to 64 Years

by Sex by Employment Disability by Employment Status ........................... PCT76

Civilian Noninstitutionalized Population 16 Years and Over

by Sex by Go-Outside-Home Disability by Employment Status ...................... PCT75

Own Children Under 18 Years

by Family Type. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . PCT28

Population 3 Years and Over

by Sex by School Enrollment ........................................................ PCT62

Population 5 Years and Over

by Language Spoken at Home by Ability to Speak English ........................... PCT38

Population 5 Years and Over in Households

by Language Density by Linguistic Isolation ......................................... PCT41

Population 5 Years and Over in Linguistically Isolated Households

by Language Spoken at Home ....................................................... PCT40

Population 15 Years and Over

by Sex by College or Graduate School Enrollment ................................... PCT63

by Sex by Marital Status ............................................................. PCT35

Subject Locator 3–1

U.S. Census Bureau, Census 2000
Subject Table numbers

Age—Con.

Population 16 Years and Over

by Sex by Employment Status ....................................................... PCT79

Population 18 Years and Over

by Sex by Armed Forces Status by Veteran Status . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . PCT67

by Sex by Educational Attainment ................................................... PCT65

Population 18 Years and Over for Whom Poverty Status is Determined

by Ratio of Income to Poverty Level by Educational Attainment ..................... PCT145

Population for Whom Poverty Status is Determined

by Poverty Status by Household Type ............................................... PCT143

by Poverty Status by Sex ............................................................ PCT142

by Ratio of Income to Poverty Level ................................................. PCT144

Population in Households

by Sex. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . PCT5

Population Under 18 Years

by Relationship ..................................................................... PCT13

Related Children Under 18 Years

by Poverty Status by Family Type ................................................... PCT150

Total Population

by Sex. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . PCT3

by Sex by Citizenship Status ........................................................ PCT44

Unrelated Individuals 15 Years and Over for Whom Poverty Status is Determined

by Poverty Status by Sex ............................................................ PCT151

Unrelated Individuals for Whom Poverty Status is Determined

by Poverty Status by Sex by Householder Status (Including Living Alone) ............ PCT153

Age of Householder

Families

by Aggregate Family Income (Dollars) by Family Type ............................... PCT120

by Family Type. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . PCT30

by Median Family Income (Dollars) by Family Type .................................. PCT119

Households

by Aggregate Household Income (Dollars) ........................................... PCT93

by Household Income ............................................................... PCT91

by Household Type.................................................................. PCT16

by Household Type (Including Living Alone) by Presence of Own Children .......... PCT15

by Median Household Income (Dollars) .............................................. PCT92

by Poverty Status of Households by Household Type ............................... PCT163

Nonfamily Households

by Aggregate Nonfamily Household Income (Dollars) by Sex of Householder by

Living Alone . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . PCT129

by Median Nonfamily Household Income (Dollars) by Sex of Householder by Living

Alone . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . PCT128

by Sex of Householder by Living Alone .............................................. PCT31

Occupied Housing Units

by Aggregate Household Income (Dollars) by Tenure by Units in Structure........... HCT38

by Aggregate Household Income (Dollars) by Tenure by Year Householder Moved

Into Unit . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . HCT40

by Aggregate Household Income (Dollars) by Tenure by Year Structure Built ......... HCT39

by Tenure ........................................................................... HCT3

by Tenure by Household Size........................................................ HCT10

by Tenure by Household Type (Including Living Alone) ............................. HCT9

by Tenure by Occupants Per Room .................................................. HCT12

by Tenure by Poverty Status......................................................... HCT89

by Tenure by Telephone Service Available ........................................... HCT31

by Tenure by Units in Structure ..................................................... HCT20

by Tenure by Vehicles Available ..................................................... HCT33

by Tenure by Year Householder Moved Into Unit .................................... HCT26

by Tenure by Year Structure Built.................................................... HCT83

Specified Owner-Occupied Housing Units

by Aggregate Value (Dollars)......................................................... HCT69

by Selected Monthly Owner Costs as a Percentage of Household Income ............. HCT81

Specified Renter-Occupied Housing Units

by Gross Rent as a Percentage of Household Income................................. HCT61

Specified Renter-Occupied Housing Units Paying Cash Rent

by Meals Included in Rent ........................................................... HCT45

3–2 Subject Locator

U.S. Census Bureau, Census 2000
Subject Table numbers

Age of Own Children

Families

by Family Type by Presence of Own Children Under 18 Years ........................ PCT27

Females 16 Years and Over

by Presence of Own Children Under 18 Years by Employment Status................. PCT80

Own Children Under 18 Years in Families and Subfamilies

by Living Arrangements by Employment Status of Parents .......................... PCT81

Age of Related Children

Families

by Family Type by Presence of Related Children Under 18 Years ..................... PCT29

by Poverty Status of Families by Family Type by Presence of Related Children Under

18 Years. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . PCT157

by Ratio of Income to Poverty Level of Families by Family Type by Presence of

Related Children Under 18 Years ................................................... PCT162

Aggregate Contract Rent (Dollars)

Specified Renter-Occupied Housing Units Paying Cash Rent............................. HCT50

Aggregate Earnings

Full-Time, Year-Round Workers 16 Years and Over With Earnings

by Sex. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . PCT140

Households ............................................................................ PCT103

Population 16 Years and Over With Earnings

by Sex. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . PCT137

Aggregate Gross Rent (Dollars)

Specified Renter-Occupied Housing Units Paying Cash Rent............................. HCT53

by Meals Included in Rent ........................................................... HCT54

by Units in Structure . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . HCT55

Aggregate Income (Dollars)

Families ............................................................................... PCT114

by Family Type by Age of Householder .............................................. PCT120

by Family Type by Presence of Own Children Under 18 Years ........................ PCT124

by Number of Workers in Family .................................................... PCT116

Households ............................................................................ PCT90

by Age of Householder .............................................................. PCT93

Nonfamily Households ................................................................. PCT127

by Sex of Householder by Living Alone by Age of Householder ...................... PCT129

Occupied Housing Units

by Tenure and Mortgage Status...................................................... HCT37

by Tenure by Age of Householder by Units in Structure.............................. HCT38

by Tenure by Age of Householder by Year Householder Moved Into Unit ............. HCT40

by Tenure by Age of Householder by Year Structure Built ............................ HCT39

Population 15 Years and Over ......................................................... PCT131

Population 15 Years and Over With Income

by Sex by Work Experience .......................................................... PCT134

Aggregate Income Deficit (Dollars)

Families With Income Below the Poverty Level

by Family Type. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . PCT158

Unrelated Individuals With Income Below the Poverty Level

by Sex. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . PCT152

Aggregate Interest, Dividends, or Net Rental Income (Dollars)

Households ............................................................................ PCT106

Aggregate Number of Rooms

Occupied Housing Units

by Tenure ........................................................................... HCT16

Aggregate Number of Vehicles Available

Occupied Housing Units

by Tenure ........................................................................... HCT34

Aggregate Other Types of Income (Dollars)

Households ............................................................................ PCT111

Aggregate Population

Families ............................................................................... PCT25

Households ............................................................................ PCT7

Aggregate Public Assistance Income (Dollars)

Households ............................................................................ PCT109

Subject Locator 3–3

U.S. Census Bureau, Census 2000
Subject Table numbers

Aggregate Real Estate Taxes (Dollars)

Specified Owner-Occupied Housing Units ............................................... HCT86

Aggregate Retirement Income (Dollars)

Households ............................................................................ PCT110

Aggregate Selected Monthly Owner Costs (Dollars)

Owner-Occupied Mobile Homes

by Mortgage Status .................................................................. HCT78

Specified Owner-Occupied Housing Units

by Mortgage Status .................................................................. HCT77

Aggregate Self-Employment Income (Dollars)

Households ............................................................................ PCT105

Aggregate Social Security Income (Dollars)

Households ............................................................................ PCT107

Aggregate Supplemental Security Income (SSI) (Dollars)

Households ............................................................................ PCT108

Aggregate Travel Time to Work (In Minutes)

Workers 16 Years and Over Who Did Not Work at Home

by Travel Time to Work by Means of Transportation to Work......................... PCT58

Aggregate Value (Dollars)

Owner-Occupied Housing Units

by Units in Structure . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . HCT70

Owner-Occupied Mobile Homes

by Mortgage Status .................................................................. HCT74

Specified Owner-Occupied Housing Units

by Age of Householder .............................................................. HCT69

by Mortgage Status .................................................................. HCT73

Aggregate Wage or Salary Income (Dollars)

Households ............................................................................ PCT104

Armed Forces Status

Population 16 to 19 Years

by Sex by School Enrollment by Educational Attainment by Employment Status ..... PCT66

Population 18 Years and Over

by Sex by Age by Veteran Status . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . PCT67

Average Family Size

Families ............................................................................... PCT26

Average Household Size

Households ............................................................................ PCT8

Average Household Size of Occupied Housing Units

Occupied Housing Units

by Tenure ........................................................................... HCT7

Bedrooms

Occupied Housing Units

by Tenure ........................................................................... HCT30

Specified Renter-Occupied Housing Units

by Gross Rent ....................................................................... HCT57

Citizenship Status

Foreign-Born Population

by Place of Birth by Year of Entry.................................................... PCT48

by Sex by Year of Entry. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . PCT46

Foreign-Born Population for Whom Poverty Status is Determined

by Poverty Status by Year of Entry................................................... PCT149

Population for Whom Poverty Status is Determined

by Poverty Status by Place of Birth .................................................. PCT147

Total Population

by Sex by Age . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . PCT44

by Sex by Place of Birth ............................................................. PCT43

Class of Worker

Employed Civilian Population 16 Years and Over

by Sex by Industry .................................................................. PCT87

College or Graduate School Enrollment

Population 15 Years and Over

by Sex by Age . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . PCT63

3–4 Subject Locator

U.S. Census Bureau, Census 2000
Subject Table numbers

Contract Rent

Specified Renter-Occupied Housing Units ............................................... HCT46

Disability Status

Civilian Noninstitutionalized Population 5 Years and Over

by Sex by Age by Employment Status................................................ PCT70

Civilian Noninstitutionalized Population 5 Years and Over for Whom Poverty Status is

Determined

by Poverty Status by Age ............................................................ PCT148

by Sex by Age by Poverty Status ..................................................... PCT78

Civilian Noninstitutionalized Population 18 to 34 Years

by Sex by School Enrollment by Educational Attainment ............................. PCT77

Disability Status of Householder

Families

by Poverty Status of Families........................................................ PCT159

Earnings

Households ............................................................................ PCT94

Population 16 Years and Over

by Sex by Work Experience .......................................................... PCT138

Population 16 Years and Over With Earnings

by Sex. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . PCT135

Educational Attainment

Civilian Noninstitutionalized Population 18 to 34 Years

by Sex by Disability Status by School Enrollment .................................... PCT77

Population 16 to 19 Years

by Sex by Armed Forces Status by School Enrollment by Employment Status......... PCT66

Population 18 Years and Over

by Sex by Age . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . PCT65

Population 18 Years and Over for Whom Poverty Status is Determined

by Ratio of Income to Poverty Level by Age.......................................... PCT145

Population 25 Years and Over

by Sex. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . PCT64

Unrelated Individuals for Whom Poverty Status is Determined

by Poverty Status by Householder Status (Including Living Alone) ................... PCT154

Employment Disability

Civilian Noninstitutionalized Population 16 to 64 Years

by Sex by Age by Employment Status................................................ PCT76

Employment Status

Civilian Noninstitutionalized Population 5 Years and Over

by Sex by Age by Disability Status................................................... PCT70

by Sex by Age by Mental Disability .................................................. PCT73

by Sex by Age by Physical Disability................................................. PCT72

by Sex by Age by Self-Care Disability ................................................ PCT74

by Sex by Age by Sensory Disability ................................................. PCT71

Civilian Noninstitutionalized Population 16 to 64 Years

by Sex by Age by Employment Disability ............................................ PCT76

Civilian Noninstitutionalized Population 16 Years and Over

by Sex by Age by Go-Outside-Home Disability ....................................... PCT75

Families

by Family Type. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . PCT83

Females 16 Years and Over

by Presence of Own Children Under 18 Years by Age of Own Children ............... PCT80

Population 16 to 19 Years

by Sex by Armed Forces Status by School Enrollment by Educational Attainment .... PCT66

Population 16 Years and Over

by Sex by Age . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . PCT79

Employment Status of Parents

Own Children Under 18 Years in Families and Subfamilies

by Age of Own Children by Living Arrangements .................................... PCT81

Subject Locator 3–5

U.S. Census Bureau, Census 2000
Subject Table numbers

Family Size

Families

by Age of Householder .............................................................. PCT30

by Aggregate Family Income (Dollars) by Age of Householder ....................... PCT120

by Aggregate Family Income (Dollars) by Presence of Own Children Under 18 Years . PCT124

by Family Income (Dollars) .......................................................... PCT117

by Median Family Income (Dollars) .................................................. PCT118

Family Type

Families

by Employment Status .............................................................. PCT83

by Median Family Income (Dollars) by Age of Householder .......................... PCT119

by Median Family Income (Dollars) by Presence of Own Children Under 18 Years .... PCT123

by Number of Workers in Family .................................................... PCT84

by Poverty Status by Presence of Related Children Under 18 Years by Age of Related

Children . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . PCT157

by Poverty Status by Social Security Income by Supplemental Security Income (SSI)

and/or Public Assistance Income ................................................... PCT160

by Poverty Status by Work Experience of Householder and Spouse................... PCT161

by Presence of Own Children Under 18 Years by Age of Own Children ............... PCT27

by Presence of Own Children Under 18 Years by Family Income ..................... PCT121

by Presence of Related Children Under 18 Years by Age of Related Children ......... PCT29

by Ratio of Income to Poverty Level by Presence of Related Children Under 18 Years

by Age of Related Children . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . PCT162

Families With Income Below the Poverty Level

by Aggregate Income Deficit (Dollars) ............................................... PCT158

Own Children Under 18 Years

by Age . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . PCT28

Related Children Under 18 Years

by Poverty Status by Age ............................................................ PCT150

Go-Outside-Home Disability

Civilian Noninstitutionalized Population 16 Years and Over

by Sex by Age by Employment Status................................................ PCT75

Grandparents Living With Own Grandchildren Under 18 Years

Population 30 Years and Over in Households

by Household Relationship by Responsibility for Own Grandchildren................ PCT37

by Responsibility for Own Grandchildren by Length of Time Responsible for

Grandchildren...................................................................... PCT36

Gross Rent

Specified Renter-Occupied Housing Units ............................................... HCT51

by Bedrooms ........................................................................ HCT57

by Household Income ............................................................... HCT56

Gross Rent as a Percentage of Household Income

Specified Renter-Occupied Housing Units ............................................... HCT59

by Age of Householder .............................................................. HCT61

by Household Income ............................................................... HCT63

by Units in Structure . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . HCT62

House Heating Fuel

Occupied Housing Units

by Tenure ........................................................................... HCT29

Household Income

Households ............................................................................ PCT88

by Age of Householder .............................................................. PCT91

Occupied Housing Units

by Tenure ........................................................................... HCT35

Specified Owner-Occupied Housing Units

by Selected Monthly Owner Costs as a Percentage of Household Income ............. HCT82

by Value for Specified Owner-Occupied Housing Units............................... HCT71

Specified Renter-Occupied Housing Units

by Gross Rent ....................................................................... HCT56

by Gross Rent as a Percentage of Household Income ................................ HCT63

Household Language

Households

by Linguistic Isolation............................................................... PCT42

3–6 Subject Locator

U.S. Census Bureau, Census 2000
Subject Table numbers

Household Relationship

Population 30 Years and Over in Households

by Grandparents Living With Own Grandchildren Under 18 Years by Responsibility

for Own Grandchildren............................................................. PCT37

Household Size

Households

by Household Type.................................................................. PCT17

by Household Type by Presence of Own Children Under 18 Years.................... PCT10

by Presence of People 60 Years and Over by Household Type ........................ PCT18

by Presence of People 65 Years and Over by Household Type ........................ PCT19

by Presence of People 75 Years and Over by Household Type ........................ PCT20

Occupied Housing Units................................................................ HCT5

by Tenure ........................................................................... HCT6

by Tenure by Age of Householder ................................................... HCT10

by Tenure by Units in Structure ..................................................... HCT19

Household Type

Households

by Age of Householder .............................................................. PCT16

by Household Size .................................................................. PCT17

by Household Size by Presence of Own Children Under 18 Years .................... PCT10

by Poverty Status of Households by Age of Householder ............................ PCT163

by Presence of People 60 Years and Over by Household Size......................... PCT18

by Presence of People 65 Years and Over by Household Size......................... PCT19

by Presence of People 75 Years and Over by Household Size......................... PCT20

by Presence of People Under 18 Years ............................................... PCT11

by Ratio of Income to Poverty Level ................................................. PCT164

Nonrelatives........................................................................... PCT23

Population for Whom Poverty Status is Determined

by Poverty Status by Age ............................................................ PCT143

Household Type (Including Living Alone)

Households

by Age of Householder by Presence of Own Children Under 18 Years ................ PCT15

Occupied Housing Units

by Tenure by Age of Householder ................................................... HCT9

Population 65 Years and Over

by Relationship ..................................................................... PCT14

Population Under 18 Years

by Relationship ..................................................................... PCT12

Total Population

by Relationship ..................................................................... PCT9

Household Type and Presence and Age of Own Children

Occupied Housing Units

by Tenure ........................................................................... HCT8

Householder Status

Unrelated Individuals for Whom Poverty Status is Determined

by Poverty Status by Work Experience ............................................... PCT156

Householder Status (Including Living Alone)

Unrelated Individuals for Whom Poverty Status is Determined

by Poverty Status by Educational Attainment ........................................ PCT154

by Poverty Status by Sex by Age ..................................................... PCT153

by Poverty Status by Social Security Income by Public Assistance Income............ PCT155

Imputation of Ability to Speak English

Population 5 Years and Over ........................................................... PCT179

Imputation of Age

Total Population ....................................................................... PCT169

Imputation of Bedrooms

Occupied Housing Units................................................................ HCT100

Imputation of Citizenship Status

Total Population ....................................................................... PCT175

Subject Locator 3–7

U.S. Census Bureau, Census 2000
Subject Table numbers

Imputation of Class of Worker

Employed Civilian Population 16 Years and Over ....................................... PCT206

Imputation of Contract Rent

Specified Renter-Occupied Housing Units ............................................... HCT106

Imputation of Disability Items

Civilian Noninstitutionalized Population 5 Years and Over.............................. PCT188

Imputation of Earnings—Percent of Earnings Imputed

Population 16 Years and Over ......................................................... PCT208

Imputation of Educational Attainment

Population 25 Years and Over ......................................................... PCT182

Imputation of Employment Disability

Civilian Noninstitutionalized Population 16 to 64 Years................................. PCT194

Imputation of Employment Status

Population 16 Years and Over ......................................................... PCT200

Imputation of Go-Outside-Home Disability

Civilian Noninstitutionalized Population 16 Years and Over ............................ PCT193

Imputation of Grade Enrolled

Population 3 Years and Over Enrolled in School ........................................ PCT181

Imputation of Grandparents Living With Own Grandchildren Under 18 Years

Population 30 Years and Over in Households ........................................... PCT170

Imputation of Gross Rent

Specified Renter-Occupied Housing Units ............................................... HCT107

Imputation of House Heating Fuel

Occupied Housing Units................................................................ HCT99

Imputation of Income—Percent of Income Imputed

Families ............................................................................... PCT210

Households ............................................................................ PCT209

Nonfamily Households ................................................................. PCT211

Population 15 Years and Over ......................................................... PCT207

Population in Families

by Poverty Status ................................................................... PCT213

Population Not in Families for Whom Poverty Status is Determined

by Poverty Status ................................................................... PCT212

Imputation of Industry

Employed Civilian Population 16 Years and Over ....................................... PCT204

Imputation of Kitchen Facilities

Occupied Housing Units................................................................ HCT104

Imputation of Language Spoken at Home

Population 5 Years and Over ........................................................... PCT178

Imputation of Language Status

Population 5 Years and Over ........................................................... PCT177

Imputation of Length of Military Service

Civilian Veterans 18 Years and Over ................................................... PCT187

Imputation of Length of Time Grandparent Responsible for Own Grandchildren

Under 18 Years

Population 30 Years and Over in Households ........................................... PCT172

Imputation of Marital Status

Population 15 Years and Over ......................................................... PCT173

Imputation of Meals Included in Rent

Specified Renter-Occupied Housing Units Paying Cash Rent............................. HCT105

Imputation of Means of Transportation to Work

Workers 16 Years and Over ............................................................ PCT196

Imputation of Mental Disability

Civilian Noninstitutionalized Population 5 Years and Over.............................. PCT191

Imputation of Mobility Status

Population 5 Years and Over ........................................................... PCT183

3–8 Subject Locator

U.S. Census Bureau, Census 2000
Subject Table numbers

Imputation of Mortgage Status

Specified Owner-Occupied Housing Units ............................................... HCT109

Imputation of Mortgage Status and Selected Monthly Owner Costs

Specified Owner-Occupied Housing Units ............................................... HCT110

Imputation of Occupation

Employed Civilian Population 16 Years and Over ....................................... PCT205

Imputation of Period of Military Service

Civilian Veterans 18 Years and Over ................................................... PCT186

Imputation of Physical Disability

Civilian Noninstitutionalized Population 5 Years and Over.............................. PCT190

Imputation of Place of Birth

Total Population ....................................................................... PCT174

Imputation of Place of Work

Workers 16 Years and Over ............................................................ PCT195

Imputation of Plumbing Facilities

Occupied Housing Units................................................................ HCT103

Imputation of Population Items

Population in Group Quarters.......................................................... PCT166

Total Population ....................................................................... PCT165

Imputation of Private Vehicle Occupancy

Workers 16 Years and Over ............................................................ PCT197

Imputation of Relationship

Population in Households .............................................................. PCT167

Imputation of Residence 5 Years Ago

Population 5 Years and Over ........................................................... PCT184

Imputation of Responsibility for Own Grandchildren Under 18 Years

Population 30 Years and Over in Households ........................................... PCT171

Imputation of Rooms

Occupied Housing Units................................................................ HCT95

Imputation of School Enrollment and Type of School

Population 3 Years and Over ........................................................... PCT180

Imputation of Self-Care Disability

Civilian Noninstitutionalized Population 5 Years and Over.............................. PCT192

Imputation of Sensory Disability

Civilian Noninstitutionalized Population 5 Years and Over.............................. PCT189

Imputation of Sex

Total Population ....................................................................... PCT168

Imputation of Telephone Service Available

Occupied Housing Units................................................................ HCT101

Imputation of Tenure

Occupied Housing Units................................................................ HCT94

Imputation of Time Leaving Home to Go to Work

Workers 16 Years and Over ............................................................ PCT198

Imputation of Travel Time to Work

Workers 16 Years and Over ............................................................ PCT199

Imputation of Units in Structure

Occupied Housing Units................................................................ HCT96

Imputation of Usual Hours Worked Per Week

Population 16 Years and Over ......................................................... PCT202

Imputation of Value

Specified Owner-Occupied Housing Units ............................................... HCT108

Imputation of Vehicles Available

Occupied Housing Units................................................................ HCT102

Imputation of Veteran Status

Population 18 Years and Over ......................................................... PCT185

Imputation of Weeks Worked

Population 16 Years and Over ......................................................... PCT203

Subject Locator 3–9

U.S. Census Bureau, Census 2000
Subject Table numbers

Imputation of Work Status

Population 16 Years and Over ......................................................... PCT201

Imputation of Year Householder Moved Into Unit

Occupied Housing Units................................................................ HCT98

Imputation of Year of Entry

Foreign-Born Population ............................................................... PCT176

Imputation of Year Structure Built

Occupied Housing Units............................................................. HCT97

Inclusion of Utilities in Rent

Specified Renter-Occupied Housing Units ............................................... HCT58

Income

Families ............................................................................... PCT112

by Family Size . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . PCT117

by Family Type by Presence of Own Children Under 18 Years ........................ PCT121

Nonfamily Households ................................................................. PCT125

Population 15 Years and Over

by Sex by Work Experience .......................................................... PCT132

Industry

Employed Civilian Population 16 Years and Over

by Sex. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . PCT85

by Sex by Class of Worker . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . PCT87

Interest, Dividends, or Net Rental Income

Households ............................................................................ PCT97

Kitchen Facilities

Occupied Housing Units

by Tenure ........................................................................... HCT43

Specified Renter-Occupied Housing Units Paying Cash Rent

by Meals Included in Rent ........................................................... HCT44

Language Density

Population 5 Years and Over in Households

by Linguistic Isolation by Age ....................................................... PCT41

Language Spoken at Home

Population 5 Years and Over

by Age by Ability to Speak English .................................................. PCT38

by Nativity by Ability to Speak English .............................................. PCT39

Population 5 Years and Over in Linguistically Isolated Households

by Age . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . PCT40

Length of Time Responsible for Grandchildren

Population 30 Years and Over in Households

by Grandparents Living With Own Grandchildren Under 18 Years by Responsibility

for Own Grandchildren............................................................. PCT36

Level of School

Population 3 Years and Over

by Sex by School Enrollment by Type of School ..................................... PCT61

Linguistic Isolation

Households

by Household Language ............................................................. PCT42

Population 5 Years and Over in Households

by Language Density by Age......................................................... PCT41

Living Alone

Nonfamily Households

by Aggregate Income (Dollars) by Sex of Householder by Age of Householder ....... PCT129

by Median Income (Dollars) by Sex of Householder by Age of Householder .......... PCT128

by Sex of Householder by Age of Householder....................................... PCT31

Living Arrangements

Own Children Under 18 Years in Families and Subfamilies

by Age of Own Children by Employment Status of Parents .......................... PCT81

Lower Contract Rent Quartile (Dollars)

Specified Renter-Occupied Housing Units Paying Cash Rent............................. HCT47

3–10 Subject Locator

U.S. Census Bureau, Census 2000
Subject Table numbers

Lower Value Quartile (Dollars)

Specified Owner-Occupied Housing Units ............................................... HCT65

Marital Status

Population 15 Years and Over

by Sex by Age . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . PCT35

Meals Included in Rent

Specified Renter-Occupied Housing Units Paying Cash Rent

by Age of Householder .............................................................. HCT45

by Aggregate Gross Rent (Dollars) ................................................... HCT54

by Kitchen Facilities................................................................. HCT44

Means of Transportation to Work

Workers 16 Years and Over ............................................................ PCT55

Workers 16 Years and Over Who Did Not Work at Home

by Aggregate Travel Time to Work (In Minutes) by Travel Time to Work .............. PCT58

by Travel Time to Work.............................................................. PCT57

Median Age

Total Population

by Sex. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . PCT4

Median Contract Rent (Dollars)

Specified Renter-Occupied Housing Units Paying Cash Rent............................. HCT48

Median Earnings

Population 16 Years and Over With Earnings

by Sex. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . PCT136

by Work Experience by Sex .......................................................... PCT139

Median Gross Rent (Dollars)

Specified Renter-Occupied Housing Units Paying Cash Rent............................. HCT52

Median Gross Rent as a Percentage of Household Income

Specified Renter-Occupied Housing Units Paying Cash Rent............................. HCT60

Median Income

Families ............................................................................... PCT113

by Family Size . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . PCT118

by Family Type by Age of Householder .............................................. PCT119

by Number of Workers in Family .................................................... PCT115

by Presence of Own Children Under 18 Years ........................................ PCT122

Households ............................................................................ PCT89

by Age of Householder .............................................................. PCT92

Nonfamily Households ................................................................. PCT126

by Sex of Householder by Living Alone by Age of Householder ...................... PCT128

Occupied Housing Units

by Tenure ........................................................................... HCT36

Population 15 Years and Over With Income

by Sex by Work Experience .......................................................... PCT133

Median Number of Rooms

Occupied Housing Units

by Tenure ........................................................................... HCT15

Median Real Estate Taxes (Dollars)

Specified Owner-Occupied Housing Units ............................................... HCT85

Median Selected Monthly Owner Costs (Dollars)

Specified Owner-Occupied Housing Units

by Mortgage Status .................................................................. HCT76

Median Selected Monthly Owner Costs as a Percentage of Household Income

and Mortgage Status

Specified Owner-Occupied Housing Units ............................................... HCT80

Median Value (Dollars)

Owner-Occupied Mobile Homes ........................................................ HCT68

Specified Owner-Occupied Housing Units ............................................... HCT66

Median Year Householder Moved Into Unit

Occupied Housing Units

by Tenure ........................................................................... HCT25

Subject Locator 3–11

U.S. Census Bureau, Census 2000
Subject Table numbers

Median Year Structure Built

Occupied Housing Units

by Tenure ........................................................................... HCT22

Mental Disability

Civilian Noninstitutionalized Population 5 Years and Over

by Sex by Age by Employment Status................................................ PCT73

Mortgage Status

Owner-Occupied Mobile Homes

by Aggregate Selected Monthly Owner Costs (Dollars) ............................... HCT78

by Aggregate Value (Dollars)......................................................... HCT74

Specified Owner-Occupied Housing Units ............................................... HCT72

by Aggregate Selected Monthly Owner Costs (Dollars) ............................... HCT77

by Aggregate Value (Dollars)......................................................... HCT73

by Median Selected Monthly Owner Costs (Dollars) .................................. HCT76

by Selected Monthly Owner Costs as a Percentage of Household Income ............. HCT79

Mortgage Status and Selected Monthly Owner Costs

Specified Owner-Occupied Housing Units ............................................... HCT75

Nativity

Population 5 Years and Over

by Language Spoken at Home by Ability to Speak English ........................... PCT39

Number of Subfamilies

Households ............................................................................ PCT34

Number of Workers in Family

Families

by Aggregate Family Income (Dollars) ............................................... PCT116

by Family Type. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . PCT84

by Median Family Income (Dollars) .................................................. PCT115

Occupants Per Room

Occupied Housing Units

by Plumbing Facilities by Year Structure Built ....................................... HCT42

by Tenure ........................................................................... HCT11

by Tenure by Age of Householder ................................................... HCT12

by Tenure by Plumbing Facilities .................................................... HCT13

by Tenure by Poverty Status by Plumbing Facilities ................................. HCT87

Occupation

Employed Civilian Population 16 Years and Over

by Sex. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . PCT86

Other Types of Income

Households ............................................................................ PCT102

Per Capita Income (Dollars)

Total Population ....................................................................... PCT130

Period of Military Service

Civilian Veterans 18 Years and Over ................................................... PCT68

Physical Disability

Civilian Noninstitutionalized Population 5 Years and Over

by Sex by Age by Employment Status................................................ PCT72

Place of Birth

Foreign-Born Population

by Sex by Year of Entry. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . PCT47

by Year of Entry by Citizenship Status............................................... PCT48

Population for Whom Poverty Status is Determined

by Poverty Status by Citizenship Status ............................................. PCT147

Total Population

by Sex by Citizenship Status ........................................................ PCT43

Place of Work—Minor Civil Division Level for 12 Selected States (CT, ME, MA,

MI, MN, NH, NJ, NY, PA, RI, VT, WI)

Workers 16 Years and Over ............................................................ PCT54

Place of Work—MSA/PMSA Level

Workers 16 Years and Over ............................................................ PCT53

Place of Work—Place Level

Workers 16 Years and Over ............................................................ PCT52

3–12 Subject Locator

U.S. Census Bureau, Census 2000
Subject Table numbers

Place of Work—State and County Level

Workers 16 Years and Over ............................................................ PCT51

Plumbing Facilities

Occupied Housing Units

by Occupants Per Room by Year Structure Built ..................................... HCT42

by Tenure ........................................................................... HCT41

by Tenure by Occupants Per Room .................................................. HCT13

by Tenure by Poverty Status by Occupants Per Room ............................... HCT87

Poverty Status

Civilian Noninstitutionalized Population 5 Years and Over for Whom Poverty Status is

Determined

by Disability Status by Age .......................................................... PCT148

by Sex by Age by Disability Status................................................... PCT78

Families

by Disability Status of Householder ................................................. PCT159

by Family Type by Presence of Related Children Under 18 Years by Age of Related

Children . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . PCT157

by Family Type by Social Security Income by Supplemental Security Income (SSI)

and/or Public Assistance Income ................................................... PCT160

by Family Type by Work Experience of Householder and Spouse ..................... PCT161

Foreign-Born Population for Whom Poverty Status is Determined

by Citizenship Status by Year of Entry............................................... PCT149

Households

by Household Type by Age of Householder .......................................... PCT163

Occupied Housing Units

by Tenure by Age of Householder ................................................... HCT89

by Tenure by Plumbing Facilities by Occupants Per Room ........................... HCT87

by Tenure by Receipt of Public Assistance Income ................................... HCT90

by Tenure by Receipt of Social Security Income...................................... HCT91

by Tenure by Telephone Service Available ........................................... HCT92

by Tenure by Year Structure Built.................................................... HCT88

Population for Whom Poverty Status is Determined

by Age by Household Type .......................................................... PCT143

by Place of Birth by Citizenship Status .............................................. PCT147

by Sex by Age . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . PCT142

Population in Families

by Imputation of Family Income—Percent of Income Imputed ....................... PCT213

Related Children Under 18 Years

by Family Type by Age . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . PCT150

Unrelated Individuals 15 Years and Over for Whom Poverty Status is Determined

by Sex by Age . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . PCT151

Unrelated Individuals for Whom Poverty Status is Determined

by Householder Status (Including Living Alone) by Educational Attainment .......... PCT154

by Householder Status (Including Living Alone) by Social Security Income by Public

Assistance Income ................................................................. PCT155

by Imputation of Individuals Income—Percent of Income Imputed................... PCT212

by Sex by Age by Householder Status (Including Living Alone)....................... PCT153

by Work Experience by Householder Status .......................................... PCT156

Presence of Nonrelatives

Households ............................................................................ PCT22

Presence of Own Children Under 18 Years

Families

by Aggregate Income (Dollars) by Family Type....................................... PCT124

by Family Type by Age of Own Children . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . PCT27

by Family Type by Family Income ................................................... PCT121

by Median Income (Dollars) ......................................................... PCT122

by Median Income (Dollars) by Family Type ......................................... PCT123

Females 16 Years and Over

by Age of Own Children by Employment Status...................................... PCT80

Households

by Age of Householder by Household Type (Including Living Alone) ................. PCT15

by Household Size by Household Type .............................................. PCT10

Subfamilies

by Subfamily Type .................................................................. PCT32

Subject Locator 3–13

U.S. Census Bureau, Census 2000
Subject Table numbers

Presence of People Under 18 Years

Households

by Household Type.................................................................. PCT11

Presence of People 60 Years and Over

Households

by Household Size by Household Type .............................................. PCT18

Presence of People 65 Years and Over

Households

by Household Size by Household Type .............................................. PCT19

Presence of People 75 Years and Over

Households

by Household Size by Household Type .............................................. PCT20

Presence of Related Children Under 18 Years

Families

by Family Type by Age of Related Children . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . PCT29

by Poverty Status by Family Type by Age of Related Children........................ PCT157

by Ratio of Income to Poverty Level by Family Type by Age of Related Children ..... PCT162

Private Vehicle Occupancy

Workers 16 Years and Over ............................................................ PCT60

Public Assistance Income

Unrelated Individuals for Whom Poverty Status is Determined

by Poverty Status by Householder Status (Including Living Alone) by Social Security

Income............................................................................. PCT155

Public Assistance Income

Households ............................................................................ PCT100

Ratio of Income to Poverty Level

Families

by Family Type by Presence of Related Children Under 18 Years by Age of Related

Children . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . PCT162

Households

by Household Type.................................................................. PCT164

Population 18 Years and Over for Whom Poverty Status is Determined

by Age by Educational Attainment................................................... PCT145

Population for Whom Poverty Status is Determined..................................... PCT141

by Age . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . PCT144

by Type of Public Assistance Income ................................................ PCT146

Real Estate Taxes

Specified Owner-Occupied Housing Units ............................................... HCT84

Receipt of Public Assistance Income

Occupied Housing Units

by Tenure by Poverty Status......................................................... HCT90

Receipt of Social Security Income

Occupied Housing Units

by Tenure by Poverty Status......................................................... HCT91

Relationship

Population in Subfamilies

by Subfamily Type .................................................................. PCT33

Population 65 Years and Over

by Household Type (Including Living Alone)......................................... PCT14

Population Under 18 Years

by Age . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . PCT13

by Household Type.................................................................. PCT12

Total Population

by Household Type (Including Living Alone)......................................... PCT9

Residence in 1995—MSA/PMSA Level

Population 5 Years and Over ........................................................... PCT50

Residence in 1995—State, County, and Place Level

Population 5 Years and Over ........................................................... PCT49

3–14 Subject Locator

U.S. Census Bureau, Census 2000
Subject Table numbers

Responsibility for Own Grandchildren

Population 30 Years and Over in Households

by Grandparents Living With Own Grandchildren Under 18 Years by Length of Time

Responsible for Grandchildren ..................................................... PCT36

by Household Relationship by Grandparents Living With Own Grandchildren Under

18 Years. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . PCT37

Retirement Income

Households ............................................................................ PCT101

Rooms

Occupied Housing Units

by Tenure ........................................................................... HCT14

School Enrollment

Civilian Noninstitutionalized Population 18 to 34 Years

by Sex by Disability Status by Educational Attainment ............................... PCT77

Population 3 Years and Over

by Sex by Age . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . PCT62

by Sex by Level of School by Type of School ......................................... PCT61

Population 16 to 19 Years

by Sex by Armed Forces Status by Educational Attainment by Employment Status . . . PCT66

Selected Monthly Owner Costs as a Percentage of Household Income

Specified Owner-Occupied Housing Units

by Age of Householder .............................................................. HCT81

by Household Income ............................................................... HCT82

by Mortgage Status .................................................................. HCT79

Selected Physical and Financial Conditions

Occupied Housing Units

by Tenure ........................................................................... HCT93

Self-Care Disability

Civilian Noninstitutionalized Population 5 Years and Over

by Sex by Age by Employment Status................................................ PCT74

Self-Employment Income

Households ............................................................................ PCT96

Sensory Disability

Civilian Noninstitutionalized Population 5 Years and Over

by Sex by Age by Employment Status................................................ PCT71

Sex

Civilian Noninstitutionalized Population 5 Years and Over

by Age by Disability Status by Employment Status................................... PCT70

by Age by Mental Disability by Employment Status .................................. PCT73

by Age by Physical Disability by Employment Status ................................ PCT72

by Age by Self-Care Disability by Employment Status ................................ PCT74

by Age by Sensory Disability by Employment Status ................................ PCT71

by Age by Types of Disability ....................................................... PCT69

Civilian Noninstitutionalized Population 5 Years and Over for Whom Poverty Status is

Determined

by Age by Disability Status by Poverty Status ....................................... PCT78

Civilian Noninstitutionalized Population 16 to 64 Years

by Age by Employment Disability by Employment Status ........................... PCT76

Civilian Noninstitutionalized Population 16 Years and Over

by Age by Go-Outside-Home Disability by Employment Status ....................... PCT75

Civilian Noninstitutionalized Population 18 to 34 Years

by Disability Status by School Enrollment by Educational Attainment................ PCT77

Employed Civilian Population 16 Years and Over

by Industry by Class of Worker ...................................................... PCT87

by Sex by Industry .................................................................. PCT85

by Sex by Occupation ............................................................... PCT86

Foreign-Born Population

by Place of Birth by Year of Entry.................................................... PCT47

by Sex by Year of Entry. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . PCT45

by Year of Entry by Citizenship Status............................................... PCT46

Full-Time, Year-Round Workers 16 Years and Over With Earnings

by Aggregate Earnings (Dollars) ..................................................... PCT140

Subject Locator 3–15

U.S. Census Bureau, Census 2000
Subject Table numbers

Sex—Con. ..............................................................................

Population 3 Years and Over

by School Enrollment by Age ........................................................ PCT62

by School Enrollment by Level of School by Type of School.......................... PCT61

Population 15 Years and Over

by College or Graduate School Enrollment by Age ................................... PCT63

by Marital Status by Age............................................................. PCT35

by Work Experience by Income ...................................................... PCT132

Population 15 Years and Over With Income

by Aggregate Income (Dollars) by Sex by Work Experience ........................... PCT134

by Median Income (Dollars) by Work Experience .................................... PCT133

Population 16 to 19 Years

by Sex by Armed Forces Status by School Enrollment by Educational Attainment by

Employment Status................................................................. PCT66

Population 16 Years and Over

by Sex by Age by Employment Status................................................ PCT79

by Work Experience by Earnings ..................................................... PCT138

by Work Status by Usual Hours Worked Per Week by Weeks Worked .................. PCT82

Population 16 Years and Over With Earnings

by Aggregate Earnings (Dollars) ..................................................... PCT137

by Earnings . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . PCT135

by Median Earnings (Dollars) ........................................................ PCT136

by Median Earnings (Dollars) by Work Experience ................................... PCT139

Population 18 Years and Over

by Age by Armed Forces Status by Veteran Status . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . PCT67

by Age by Educational Attainment................................................... PCT65

Population 25 Years and Over

by Educational Attainment .......................................................... PCT64

Population for Whom Poverty Status is Determined

by Poverty Status by Age ............................................................ PCT142

Population in Households

by Age . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . PCT5

Total Population

by Age . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . PCT3

by Age by Citizenship Status ........................................................ PCT44

by Median Age ...................................................................... PCT4

by Place of Birth by Citizenship Status .............................................. PCT43

Unrelated Individuals 15 Years and Over for Whom Poverty Status is Determined

by Poverty Status by Age ............................................................ PCT151

Unrelated Individuals for Whom Poverty Status is Determined

by Poverty Status by Age by Householder Status (Including Living Alone)............ PCT153

Unrelated Individuals With Income Below the Poverty Level

by Aggregate Income Deficit (Dollars) ............................................... PCT152

Sex of Householder

Nonfamily Households

by Aggregate Income (Dollars) by Living Alone by Age of Householder .............. PCT129

by Living Alone by Age of Householder.............................................. PCT31

by Median Income (Dollars) by Living Alone by Age of Householder ................. PCT128

Sex of Partners

Households

by Unmarried-Partner Households................................................... PCT21

Social Security Income

Families

by Poverty Status by Family Type by Supplemental Security Income (SSI) and/or

Public Assistance Income........................................................... PCT160

Households ............................................................................ PCT98

Unrelated Individuals for Whom Poverty Status is Determined

by Poverty Status by Householder Status (Including Living Alone) by Public

Assistance Income ................................................................. PCT155

Subfamily Type

Population in Subfamilies

by Relationship ..................................................................... PCT33

Subfamilies

by Presence of Own Children Under 18 Years ........................................ PCT32

Supplemental Security Income (SSI)

Households ............................................................................ PCT99

3–16 Subject Locator

U.S. Census Bureau, Census 2000
Subject Table numbers

Supplemental Security Income (SSI) and/or Public Assistance Income

Families

by Poverty Status by Family Type ................................................... PCT160

Telephone Service Available

Occupied Housing Units

by Tenure by Age of Householder ................................................... HCT31

by Tenure by Poverty Status......................................................... HCT92

Tenure

Occupied Housing Units................................................................ HCT2

by Age of Householder .............................................................. HCT3

by Age of Householder by Occupants Per Room ..................................... HCT12

by Age of Householder by Units in Structure ........................................ HCT20

by Age of Householder by Year Householder Moved Into Unit........................ HCT26

by Age of Householder by Year Structure Built ...................................... HCT83

by Aggregate Household Income (Dollars) by Age of Householder by Units in

Structure. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . HCT38

by Aggregate Household Income (Dollars) by Age of Householder by Year

Householder Moved Into Unit ...................................................... HCT40

by Aggregate Household Income (Dollars) by Age of Householder by Year Structure

Built . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . HCT39

by Aggregate Number of Rooms ..................................................... HCT16

by Aggregate Number of Vehicles Available.......................................... HCT34

by Average Household Size of Occupied Housing Units ............................. HCT7

by Bedrooms ........................................................................ HCT30

by House Heating Fuel .............................................................. HCT29

by Household Income ............................................................... HCT35

by Household Size .................................................................. HCT6

by Household Size by Age of Householder........................................... HCT10

by Household Size by Units in Structure............................................. HCT19

by Household Type (Including Living Alone) by Age of Householder ................. HCT9

by Household Type and Presence and Age of Own Children ......................... HCT8

by Kitchen Facilities................................................................. HCT43

by Median Household Income (Dollars) .............................................. HCT36

by Median Number of Rooms ........................................................ HCT15

by Median Year Householder Moved Into Unit ....................................... HCT25

by Median Year Structure Built ...................................................... HCT22

by Occupants Per Room ............................................................. HCT11

by Plumbing Facilities ............................................................... HCT41

by Plumbing Facilities by Occupants Per Room ...................................... HCT13

by Poverty Status by Age of Householder............................................ HCT89

by Poverty Status by Plumbing Facilities by Occupants Per Room.................... HCT87

by Poverty Status by Receipt of Public Assistance Income ........................... HCT90

by Poverty Status by Receipt of Social Security Income ............................. HCT91

by Poverty Status by Telephone Service Available.................................... HCT92

by Poverty Status by Year Structure Built ............................................ HCT88

by Rooms ........................................................................... HCT14

by Selected Physical and Financial Conditions ...................................... HCT93

by Telephone Service Available by Age of Householder ............................. HCT31

by Units in Structure . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . HCT17

by Vehicles Available . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . HCT32

by Vehicles Available by Age of Householder ........................................ HCT33

by Year Householder Moved Into Unit ............................................... HCT24

by Year Householder Moved Into Unit by Units in Structure.......................... HCT27

by Year Structure Built . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . HCT21

by Year Structure Built by Units in Structure. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . HCT23

Population in Occupied Housing Units.................................................. HCT4

by Units in Structure . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . HCT18

by Year Householder Moved Into Unit ............................................... HCT28

Tenure and Mortgage Status

Occupied Housing Units

by Aggregate Household Income (Dollars) ........................................... HCT37

Time Leaving Home to Go to Work

Workers 16 Years and Over ............................................................ PCT59

Total Population

Total Population ....................................................................... PCT1

Subject Locator 3–17

U.S. Census Bureau, Census 2000
Subject Table numbers

Travel Time to Work

Workers 16 Years and Over ............................................................ PCT56

Workers 16 Years and Over Who Did Not Work at Home

by Aggregate Travel Time to Work (In Minutes) by Means of Transportation to Work . PCT58

by Means of Transportation to Work ................................................. PCT57

Type of Public Assistance Income

Population for Whom Poverty Status is Determined

by Ratio of Income to Poverty Level ................................................. PCT146

Type of School

Population 3 Years and Over

by Sex by School Enrollment by Level of School ..................................... PCT61

Types of Disability

Civilian Noninstitutionalized Population 5 Years and Over

by Sex by Age . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . PCT69

Units in Structure

Occupied Housing Units

by Aggregate Household Income (Dollars) by Tenure by Age of Householder......... HCT38

by Tenure ........................................................................... HCT17

by Tenure by Age of Householder ................................................... HCT20

by Tenure by Household Size........................................................ HCT19

by Tenure by Year Householder Moved Into Unit .................................... HCT27

by Tenure by Year Structure Built.................................................... HCT23

Owner-Occupied Housing Units

by Aggregate Value (Dollars)......................................................... HCT70

Population in Occupied Housing Units

by Tenure ........................................................................... HCT18

Specified Renter-Occupied Housing Units

by Gross Rent as a Percentage of Household Income ................................ HCT62

Specified Renter-Occupied Housing Units Paying Cash Rent

by Aggregate Gross Rent (Dollars) ................................................... HCT55

Unmarried-Partner Households

Households

by Sex of Partners . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . PCT21

Upper Contract Rent Quartile (Dollars)

Specified Renter-Occupied Housing Units Paying Cash Rent............................. HCT49

Upper Value Quartile (Dollars)

Specified Owner-Occupied Housing Units ............................................... HCT67

Urban and Rural

Occupied Housing Units................................................................ HCT1

Total Population..................................................................... PCT2

Usual Hours Worked Per Week

Population 16 Years and Over

by Sex by Work Status by Weeks Worked............................................. PCT82

Value

Specified Owner-Occupied Housing Units ............................................... HCT64

by Household Income ............................................................... HCT71

Vehicles Available

Occupied Housing Units

by Tenure ........................................................................... HCT32

by Tenure by Age of Householder ................................................... HCT33

Veteran Status

Population 18 Years and Over

by Sex by Age by Armed Forces Status. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . PCT67

Wage or Salary Income

Households ............................................................................ PCT95

Weeks Worked

Population 16 Years and Over

by Sex by Work Status by Usual Hours Worked Per Week ............................ PCT82

3–18 Subject Locator

U.S. Census Bureau, Census 2000
Subject Table numbers

Work Experience

Population 15 Years and Over

by Sex by Income ................................................................... PCT132

Population 15 Years and Over With Income

by Aggregate Income (Dollars) by Sex ............................................... PCT134

by Median Income (Dollars) by Sex .................................................. PCT133

Population 16 Years and Over

by Sex by Earnings . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . PCT138

Population 16 Years and Over With Earnings

by Median Earnings (Dollars) by Sex ................................................. PCT139

Unrelated Individuals for Whom Poverty Status is Determined

by Poverty Status by Householder Status ............................................ PCT156

Work Experience of Householder and Spouse

Families

by Poverty Status of Families by Family Type........................................ PCT161

Work Status

Population 16 Years and Over

by Sex by Usual Hours Worked Per Week by Weeks Worked........................... PCT82

Year Householder Moved Into Unit

Occupied Housing Units

by Aggregate Household Income (Dollars) by Tenure by Age of Householder......... HCT40

by Tenure ........................................................................... HCT24

by Tenure by Age of Householder ................................................... HCT26

by Tenure by Units in Structure ..................................................... HCT27

Population in Occupied Housing Units

by Total Population in Occupied Housing Units by Tenure ........................... HCT28

Year of Entry

Foreign-Born Population

by Place of Birth by Citizenship Status .............................................. PCT48

by Sex. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . PCT45

by Sex by Citizenship Status ........................................................ PCT46

by Sex by Place of Birth ............................................................. PCT47

Foreign-Born Population for Whom Poverty Status is Determined

by Poverty Status by Citizenship Status ............................................. PCT149

Year Structure Built

Occupied Housing Units

by Aggregate Household Income (Dollars) by Tenure by Age of Householder......... HCT39

by Plumbing Facilities by Occupants Per Room ...................................... HCT42

by Tenure ........................................................................... HCT21

by Tenure by Age of Householder ................................................... HCT83

by Tenure by Poverty Status......................................................... HCT88

by Tenure by Units in Structure ..................................................... HCT23

Subject Locator 3–19

U.S. Census Bureau, Census 2000
Chapter 4.

Summary Level Sequence Chart

Summary levels specify the content and the hierarchical relationships of the geographic elements

that are required to tabulate and summarize data. In the Summary Level Sequence Chart which

follows, the summary level code precedes the summary level area, and symbols are used with

special meaning for summary levels:

Hyphen ‘‘-’’ separates the elements of a hierarchy.

Slash ‘‘/’’ denotes equivalent areas that have different names.

Parentheses ‘‘()’’ are not used in the specification for summary levels, but are used

occasionally in the usual and customary manner in statements of clarification.

A. State Summary File 4

Geographic component Summary level

00, 01-49, 52-95 ........ 040 State1

00, 01, 43 . . . . . . . . . . . . . . 050 State-County2

00 . . . . . . . . . . . . . . . . . . . . . 060 State-County-County Subdivision

00 . . . . . . . . . . . . . . . . . . . . . 070 State-County-County Subdivision-Place/Remainder

00 . . . . . . . . . . . . . . . . . . . . . 080 State-County-County Subdivision-Place/Remainder-Census Tract

00 . . . . . . . . . . . . . . . . . . . . . 067 State [Puerto Rico Only]-County-County Subdivision-Subbarrio3

00 . . . . . . . . . . . . . . . . . . . . . 140 State-County-Census Tract

00 . . . . . . . . . . . . . . . . . . . . . 144 State-County-Census Tract-American Indian Area/Alaska Native Area/Hawaiian Home

Land

00 . . . . . . . . . . . . . . . . . . . . . 160 State-Place

00 . . . . . . . . . . . . . . . . . . . . . 155 State-Place-County

00 . . . . . . . . . . . . . . . . . . . . . 158 State-Place-County-Census Tract

00 . . . . . . . . . . . . . . . . . . . . . 170 State-Consolidated City

00 . . . . . . . . . . . . . . . . . . . . . 172 State-Consolidated City-Place Within Consolidated City

00 . . . . . . . . . . . . . . . . . . . . . 280 State-American Indian Area/Alaska Native Area/Hawaiian Home Land

00 . . . . . . . . . . . . . . . . . . . . . 282 State-American Indian Area/Alaska Native Area/Hawaiian Home Land-County

00 . . . . . . . . . . . . . . . . . . . . . 261 State-American Indian Area/Alaska Native Area/Hawaiian Home Land-County-County

Subdivision

00 . . . . . . . . . . . . . . . . . . . . . 263 State-American Indian Area/Alaska Native Area/Hawaiian Home Land-County-County

Subdivision-Place/Remainder

00 . . . . . . . . . . . . . . . . . . . . . 283 State-American Indian Area/Alaska Native Area (Reservation or Statistical Entity Only)4

00 . . . . . . . . . . . . . . . . . . . . . 285 State-American Indian Area/Alaska Native Area (Reservation or Statistical Entity Only)-

County

00 . . . . . . . . . . . . . . . . . . . . . 265 State-American Indian Area/Alaska Native Area (Reservation or Statistical Entity

Only)-County-County Subdivision

00 . . . . . . . . . . . . . . . . . . . . . 266 State-American Indian Area/Alaska Native Area (Reservation or Statistical Entity

Only)-County-County Subdivision-Place/Remainder

00 . . . . . . . . . . . . . . . . . . . . . 286 State-American Indian Area (Off-Reservation Trust Land Only)/Hawaiian Home Land

00 . . . . . . . . . . . . . . . . . . . . . 288 State-American Indian Area (Off-Reservation Trust Land Only)/Hawaiian Home LandCounty

00 . . . . . . . . . . . . . . . . . . . . . 267 State-American Indian Area (Off-Reservation Trust Land Only)/Hawaiian Home

Land-County-County Subdivision

1

State, District of Columbia, or Puerto Rico.

2

Parish in Louisiana, Borough or Census Area in Alaska, and Municipio in Puerto Rico; in Maryland, Missouri,

Nevada, and Virginia, one or more cities are independent of counties and are treated as statistical equivalents

of counties; the entire District of Columbia, which has no counties, is treated as a county equivalent. 3

In Puerto Rico, some subdivisions (barrios-pueblo and barrios) are divided into subminor civil divisions

(subbarrios). 4

American Indian Area/Alaska Native Area (Reservation or Statistical Entity Only) includes American Indian

Reservations; Oklahoma Tribal Statistical Areas (OTSAs); Tribal Designated Statistical Areas (TDSAs) (federal

areas); State Designated American Indian Statistical Areas (SDAISAs) (state areas); and Alaska Native Village

Statistical Areas (ANVSAs) (Alaska).

Summary Level Sequence Chart 4–1

U.S. Census Bureau, Census 2000
A. State Summary File 4—Con.

Geographic component Summary level

00 . . . . . . . . . . . . . . . . . . . . . 268 State-American Indian Area (Off-Reservation Trust Land Only)/Hawaiian Home

Land-County-County Subdivision-Place/Remainder

00 . . . . . . . . . . . . . . . . . . . . . 281 State-American Indian Area/Alaska Native Area/Hawaiian Home Land-Tribal Subdivision/

Remainder

00 . . . . . . . . . . . . . . . . . . . . . 284 State-American Indian Area/Alaska Native Area (Reservation or Statistical Entity Only)-

Tribal Subdivision/Remainder

00 . . . . . . . . . . . . . . . . . . . . . 287 State-American Indian Area (Off-Reservation Trust Land Only)/Hawaiian Home LandTribal Subdivision/Remainder

00 . . . . . . . . . . . . . . . . . . . . . 230 State-Alaska Native Regional Corporation

00 . . . . . . . . . . . . . . . . . . . . . 390 State-Metropolitan Statistical Area/Consolidated Metropolitan Statistical Area

00 . . . . . . . . . . . . . . . . . . . . . 391 State-Metropolitan Statistical Area/Consolidated Metropolitan Statistical Area-Central

City

00 . . . . . . . . . . . . . . . . . . . . . 392 State-Metropolitan Statistical Area/Consolidated Metropolitan Statistical Area-County

00 . . . . . . . . . . . . . . . . . . . . . 393 State [6 states only CT,ME,MA,NH,RI,VT]-Metropolitan Statistical Area/Consolidated

Metropolitan Statistical Area-County-County Subdivision

00 . . . . . . . . . . . . . . . . . . . . . 395 State-Consolidated Metropolitan Statistical Area-Primary Metropolitan Statistical Area

00 . . . . . . . . . . . . . . . . . . . . . 396 State-Consolidated Metropolitan Statistical Area-Primary Metropolitan Statistical AreaCounty

00 . . . . . . . . . . . . . . . . . . . . . 397 State [6 states only CT,ME,MA,NH,RI,VT]-Consolidated Metropolitan Statistical

Area-Primary Metropolitan Statistical Area-County-County Subdivision

00 . . . . . . . . . . . . . . . . . . . . . 374 State-New England County Metropolitan Area

00 . . . . . . . . . . . . . . . . . . . . . 375 State-New England County Metropolitan Area-Central City

00 . . . . . . . . . . . . . . . . . . . . . 376 State-New England County Metropolitan Area-County

00 . . . . . . . . . . . . . . . . . . . . . 420 State-Urban Area

00 . . . . . . . . . . . . . . . . . . . . . 461 State-Urban Area-Central Place

00 . . . . . . . . . . . . . . . . . . . . . 463 State-Urban Area-Consolidated City

00 . . . . . . . . . . . . . . . . . . . . . 465 State-Urban Area-Consolidated City-Place Within Consolidated City

00 . . . . . . . . . . . . . . . . . . . . . 431 State-Urban Area-County

00 . . . . . . . . . . . . . . . . . . . . . 441 State-Urban Area-County-County Subdivision

00 . . . . . . . . . . . . . . . . . . . . . 451 State-Urban Area-County-County Subdivision-Place/Remainder

4–2 Summary Level Sequence Chart

U.S. Census Bureau, Census 2000
B. National Summary File 4

Geographic component Summary level

00, 01-49, 52-98 . . . . . . . . 010 United States5

00, 01-49, 52-95 . . . . . . . . 020 Region

00, 01-49, 52-95 . . . . . . . . 030 Division

00, 01-49, 52-95 . . . . . . . . 040 State6

00, 01, 43 . . . . . . . . . . . . . . 050 State-County7

00 . . . . . . . . . . . . . . . . . . . . . 060 State-County-County Subdivision

00 . . . . . . . . . . . . . . . . . . . . . 070 State-County-County Subdivision-Place/Remainder

00, 50, 51 . . . . . . . . . . . . . . 160 State-Place

00, 50, 51 . . . . . . . . . . . . . . 155 State-Place-County

00, 50, 51 . . . . . . . . . . . . . . 170 State-Consolidated City

00 . . . . . . . . . . . . . . . . . . . . . 172 State-Consolidated City-Place Within Consolidated City

00 . . . . . . . . . . . . . . . . . . . . . 250 American Indian Area/Alaska Native Area/Hawaiian Home Land

00 . . . . . . . . . . . . . . . . . . . . . 260 American Indian Area/Alaska Native Area/Hawaiian Home Land-State

00 . . . . . . . . . . . . . . . . . . . . . 270 American Indian Area/Alaska Native Area/Hawaiian Home Land-State-County

00 . . . . . . . . . . . . . . . . . . . . . 271 American Indian Area/Alaska Native Area/Hawaiian Home Land-State-County-County

Subdivision

00 . . . . . . . . . . . . . . . . . . . . . 273 American Indian Area/Alaska Native Area/Hawaiian Home Land-State-County-County

Subdivision-Place/Remainder

00 . . . . . . . . . . . . . . . . . . . . . 252 American Indian Area/Alaska Native Area (Reservation or Statistical Entity Only)8

00 . . . . . . . . . . . . . . . . . . . . . 262 American Indian Area/Alaska Native Area (Reservation or Statistical Entity Only)-State

00 . . . . . . . . . . . . . . . . . . . . . 272 American Indian Area/Alaska Native Area (Reservation or Statistical Entity Only)-

State-County

00 . . . . . . . . . . . . . . . . . . . . . 275 American Indian Area/Alaska Native Area (Reservation or Statistical Entity Only)-

State-County-County Subdivision

00 . . . . . . . . . . . . . . . . . . . . . 276 American Indian Area/Alaska Native Area (Reservation or Statistical Entity Only)-

State-County-County Subdivision-Place/Remainder

00 . . . . . . . . . . . . . . . . . . . . . 254 American Indian Area (Off-Reservation Trust Land Only)/Hawaiian Home Land

00 . . . . . . . . . . . . . . . . . . . . . 264 American Indian Area (Off-Reservation Trust Land Only)/Hawaiian Home Land-State

00 . . . . . . . . . . . . . . . . . . . . . 274 American Indian Area (Off-Reservation Trust Land Only)/Hawaiian Home Land-StateCounty

00 . . . . . . . . . . . . . . . . . . . . . 277 American Indian Area (Off-Reservation Trust Land Only)/Hawaiian Home LandState-County-County Subdivision

00 . . . . . . . . . . . . . . . . . . . . . 278 American Indian Area (Off-Reservation Trust Land Only)/Hawaiian Home LandState-County-County Subdivision-Place/Remainder

00 . . . . . . . . . . . . . . . . . . . . . 256 Specified American Indian Area9-Tribal Census Tract10

00 . . . . . . . . . . . . . . . . . . . . . 291 Specified American Indian Area (Reservation Only)-Tribal Census Tract

00 . . . . . . . . . . . . . . . . . . . . . 292 Specified American Indian Area (Off-Reservation Trust Land Only)-Tribal Census Tract

00 . . . . . . . . . . . . . . . . . . . . . 251 American Indian Area/Alaska Native Area/Hawaiian Home Land-Tribal Subdivision/Remainder

00 . . . . . . . . . . . . . . . . . . . . . 253 American Indian Area/Alaska Native Area (Reservation or Statistical Entity Only)-Tribal

Subdivision/Remainder

00 . . . . . . . . . . . . . . . . . . . . . 255 American Indian Area (Off-Reservation Trust Land Only)/Hawaiian Home Land-Tribal

Subdivision/Remainder

00 . . . . . . . . . . . . . . . . . . . . . 257 Specified American Indian Area-Tribal Subdivision/Remainder-Tribal Census Tract

00 . . . . . . . . . . . . . . . . . . . . . 290 American Indian Area/Alaska Native Area/Hawaiian Home Land-Tribal Subdivision/RemainderState

00 . . . . . . . . . . . . . . . . . . . . . 230 State-Alaska Native Regional Corporation

00, 60, 63, 64, 72, 80,

83 . . . . . . . . . . . . . . . . . . . . 380 Metropolitan Statistical Area/Consolidated Metropolitan Statistical Area

00, 60, 63 . . . . . . . . . . . . . . 381 Metropolitan Statistical Area/Consolidated Metropolitan Statistical Area-State

00 . . . . . . . . . . . . . . . . . . . . . 382 Metropolitan Statistical Area/Consolidated Metropolitan Statistical Area-State-Central

City

00 . . . . . . . . . . . . . . . . . . . . . 383 Metropolitan Statistical Area/Consolidated Metropolitan Statistical Area-State-County

5

Land area, water area, population counts, and housing unit counts for the United States, Regions, and

Divisions do not include Puerto Rico. 6

State, District of Columbia, or Puerto Rico.

7

Parish in Louisiana, Borough or Census Area in Alaska, and Municipio in Puerto Rico; in Maryland, Missouri,

Nevada, and Virginia, one or more cities are independent of counties and are treated as statistical equivalents

of counties; the entire District of Columbia, which has no counties, is treated as a county equivalent. 8

American Indian Area/Alaska Native Area (Reservation or Statistical Entity Only) includes American Indian

Reservations; Oklahoma Tribal Statistical Areas (OTSAs); Tribal Designated Statistical Areas (TDSAs) (federal

areas); State Designated American Indian Statistical Areas (SDAISAs) (state areas); and Alaska Native Village

Statistical Areas (ANVSAs) (Alaska). 9

For summary levels 256, 257, 291, and 292, the Census Bureau only provides records for federally

recognized American Indian reservation and/or off-reservation trust land entities, as appropriate for the

summary level. No records are provided for state reservations, statistical American Indian and Alaska Native

areas, and Hawaiian home lands. 10Tribal census tracts and tribal block groups can cross state and county boundaries.

Summary Level Sequence Chart 4–3

U.S. Census Bureau, Census 2000
B. National Summary File 4—Con.

Geographic component Summary level

00 . . . . . . . . . . . . . . . . . . . . . 384 Metropolitan Statistical Area/Consolidated Metropolitan Statistical Area-State [6 states

only CT,ME,MA,NH,RI,VT]-County-County Subdivision

00, 60, 63, 80, 83 . . . . . . . 385 Consolidated Metropolitan Statistical Area-Primary Metropolitan Statistical Area

00, 60, 63 . . . . . . . . . . . . . . 386 Consolidated Metropolitan Statistical Area-Primary Metropolitan Statistical Area-State

00 . . . . . . . . . . . . . . . . . . . . . 387 Consolidated Metropolitan Statistical Area-Primary Metropolitan Statistical Area-StateCounty

00 . . . . . . . . . . . . . . . . . . . . . 388 Consolidated Metropolitan Statistical Area-Primary Metropolitan Statistical AreaState [6 states only CT,ME,MA,NH,RI,VT]-County-County Subdivision

00, 97, 98 . . . . . . . . . . . . . . 370 New England County Metropolitan Area

00 . . . . . . . . . . . . . . . . . . . . . 371 New England County Metropolitan Area-State

00 . . . . . . . . . . . . . . . . . . . . . 372 New England County Metropolitan Area-State-Central City

00 . . . . . . . . . . . . . . . . . . . . . 373 New England County Metropolitan Area-State-County

00, 02-03. . . . . . . . . . . . . . . 400 Urban Area

00, 02-03. . . . . . . . . . . . . . . 410 Urban Area-State

00 . . . . . . . . . . . . . . . . . . . . . 460 Urban Area-State-Central Place

00 . . . . . . . . . . . . . . . . . . . . . 462 Urban Area-State-Consolidated City

00 . . . . . . . . . . . . . . . . . . . . . 464 Urban Area-State-Consolidated City-Place Within Consolidated City

00 . . . . . . . . . . . . . . . . . . . . . 430 Urban Area-State-County

00 . . . . . . . . . . . . . . . . . . . . . 440 Urban Area-State-County-County Subdivision

00 . . . . . . . . . . . . . . . . . . . . . 450 Urban Area-State-County-County Subdivision-Place/Remainder

4–4 Summary Level Sequence Chart

U.S. Census Bureau, Census 2000
Chapter 5.

List of Tables

NOTES ABOUT SUMMARY FILE 4 (SF 4)

Summary File 4 is repeated, or iterated, for the total population and 335 additional population

groups: 132 race groups, 78 American Indian and Alaska Native tribe categories, 39 Hispanic or

Latino groups, and 86 ancestry groups.

Tables for any population group excluded from SF 2 because the group’s total population in a

specific geographic area did not meet the SF 2 threshold of 100 people are excluded from SF 4. In

addition, all tables are shown for any of the above population groups only if there are at least

50 unweighted sample cases in a specific geographic area. For the ancestry iterations, only the

50 unweighted sample cases test can be performed.

In an iterated file such as SF 4, the Universes households, families, and occupied housing units are

classified by the race or ethnic group of the householder (one of the 335 race and ethnic groups).

The universe subfamilies is classified by the race or ethnic group of the reference person for the

subfamily. In a husband/wife subfamily, the reference person is the husband; in a parent/child

subfamily, the reference person is always the parent. The universes population in households,

population in families, and population in subfamilies are classified by the race or ethnic group of

the individuals within the household, family, or subfamily, without regard to the race or ethnicity

of the householder. NOTES follow selected tables to make the classification of the universe clear.

In any population table where there is no NOTE, the universe classification is always based on the

race or ethnicity of the person. In all housing tables, the universe classification is based on the

race or ethnicity of the householder.

Table

(matrix)

Title

Total

number

of data

cells

Basic Population Totals

PCT1. TOTAL POPULATION

Universe: Total population ................................................................. 1

PCT2. URBAN AND RURAL

Universe: Total population ................................................................. 7

PCT3. SEX BY AGE

Universe: Total population . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 209

PCT4. MEDIAN AGE BY SEX

(1 expressed decimal)

Universe: Total population ................................................................. 3

PCT5. SEX BY AGE FOR THE POPULATION IN HOUSEHOLDS

Universe: Population in households . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the person.

Households and Families

PCT6. HOUSEHOLDS

Universe: Households .................................................................... 1

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

List of Tables 5–1

U.S. Census Bureau, Census 2000
Table

(matrix)

Title

Total

number

of data

cells

PCT7. AGGREGATE POPULATION IN HOUSEHOLDS

Universe: Households .................................................................... 1

NOTE: When a category other than Total Population is selected, the data in this table refer to the total

number of people living in households based on the race, Hispanic or Latino origin, American Indian or

Alaska Native tribe, or ancestry of the householder. For the number of people of a selected race, Hispanic or

Latino origin, American Indian or Alaska Native tribe, or ancestry living in households, see table PCT5, line 1.

PCT8. AVERAGE HOUSEHOLD SIZE

(2 expressed decimals)

Universe: Households .................................................................... 1

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

PCT9. HOUSEHOLD TYPE (INCLUDING LIVING ALONE) BY RELATIONSHIP

Universe: Total population . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27

PCT10. HOUSEHOLD SIZE BY HOUSEHOLD TYPE BY PRESENCE OF OWN CHILDREN UNDER

18 YEARS

Universe: Households .................................................................... 19

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

PCT11. HOUSEHOLDS BY PRESENCE OF PEOPLE UNDER 18 YEARS BY HOUSEHOLD TYPE

Universe: Households .................................................................... 19

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

PCT12. RELATIONSHIP BY HOUSEHOLD TYPE FOR THE POPULATION UNDER 18 YEARS

Universe: Population under 18 years ....................................................... 16

PCT13. RELATIONSHIP BY AGE FOR THE POPULATION UNDER 18 YEARS

Universe: Population under 18 years ....................................................... 45

PCT14. HOUSEHOLD TYPE (INCLUDING LIVING ALONE) BY RELATIONSHIP FOR THE POPULATION

65 YEARS AND OVER

Universe: Population 65 years and over .................................................... 21

PCT15. HOUSEHOLDS BY AGE OF HOUSEHOLDER BY HOUSEHOLD TYPE (INCLUDING LIVING ALONE)

BY PRESENCE OF OWN CHILDREN UNDER 18 YEARS

Universe: Households .................................................................... 31

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

PCT16. HOUSEHOLD TYPE BY AGE OF HOUSEHOLDER

Universe: Households .................................................................... 19

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

PCT17. HOUSEHOLD TYPE BY HOUSEHOLD SIZE

Universe: Households .................................................................... 16

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

PCT18. HOUSEHOLDS BY PRESENCE OF PEOPLE 60 YEARS AND OVER BY HOUSEHOLD SIZE BY

HOUSEHOLD TYPE

Universe: Households .................................................................... 11

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

PCT19. HOUSEHOLDS BY PRESENCE OF PEOPLE 65 YEARS AND OVER BY HOUSEHOLD SIZE BY

HOUSEHOLD TYPE

Universe: Households .................................................................... 11

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

5–2 List of Tables

U.S. Census Bureau, Census 2000
Table

(matrix)

Title

Total

number

of data

cells

PCT20. HOUSEHOLDS BY PRESENCE OF PEOPLE 75 YEARS AND OVER BY HOUSEHOLD SIZE BY

HOUSEHOLD TYPE

Universe: Households .................................................................... 11

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

PCT21. UNMARRIED-PARTNER HOUSEHOLDS BY SEX OF PARTNERS

Universe: Households .................................................................... 7

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

PCT22. HOUSEHOLDS BY PRESENCE OF NONRELATIVES

Universe: Households .................................................................... 3

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

PCT23. NONRELATIVES BY HOUSEHOLD TYPE

Universe: Nonrelatives .................................................................... 13

PCT24. FAMILIES

Universe: Families ....................................................................... 1

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

PCT25. AGGREGATE POPULATION IN FAMILIES

Universe: Families ....................................................................... 1

NOTE: When a category other than Total Population is selected, the data in this table refer the total number

of people living in families based on the race, Hispanic or Latino origin, American Indian or Alaska Native

tribe, or ancestry of the householder.

PCT26. AVERAGE FAMILY SIZE

(2 expressed decimals)

Universe: Families ....................................................................... 1

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

PCT27. FAMILY TYPE BY PRESENCE OF OWN CHILDREN UNDER 18 YEARS BY AGE OF OWN

CHILDREN

Universe: Families ....................................................................... 20

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

PCT28. OWN CHILDREN UNDER 18 YEARS BY FAMILY TYPE BY AGE

Universe: Own children under 18 years ..................................................... 26

PCT29. FAMILY TYPE BY PRESENCE OF RELATED CHILDREN UNDER 18 YEARS BY AGE OF RELATED

CHILDREN

Universe: Families ....................................................................... 20

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

PCT30. FAMILY TYPE BY AGE OF HOUSEHOLDER

Universe: Families ....................................................................... 29

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

PCT31. NONFAMILY HOUSEHOLDS BY SEX OF HOUSEHOLDER BY LIVING ALONE BY AGE OF

HOUSEHOLDER

Universe: Nonfamily households ........................................................... 15

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

List of Tables 5–3

U.S. Census Bureau, Census 2000
Table

(matrix)

Title

Total

number

of data

cells

PCT32. SUBFAMILY TYPE BY PRESENCE OF OWN CHILDREN UNDER 18 YEARS

Universe: Subfamilies..................................................................... 6

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the reference person for the

subfamily.

PCT33. POPULATION IN SUBFAMILIES BY SUBFAMILY TYPE BY RELATIONSHIP

Universe: Population in subfamilies......................................................... 11

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the person.

PCT34. HOUSEHOLDS BY NUMBER OF SUBFAMILIES

Universe: Households .................................................................... 6

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

Marital Status

PCT35. SEX BY MARITAL STATUS BY AGE FOR THE POPULATION 15 YEARS AND OVER

Universe: Population 15 years and over .................................................... 163

Grandparents as Caregivers

PCT36. GRANDPARENTS LIVING WITH OWN GRANDCHILDREN UNDER 18 YEARS BY

RESPONSIBILITY FOR OWN GRANDCHILDREN BY LENGTH OF TIME RESPONSIBLE FOR

GRANDCHILDREN FOR THE POPULATION 30 YEARS AND OVER IN HOUSEHOLDS

Universe: Population 30 years and over in households ....................................... 10

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the person.

PCT37. HOUSEHOLD RELATIONSHIP BY GRANDPARENTS LIVING WITH OWN GRANDCHILDREN UNDER

18 YEARS BY RESPONSIBILITY FOR OWN GRANDCHILDREN FOR THE POPULATION 30 YEARS

AND OVER IN HOUSEHOLDS

Universe: Population 30 years and over in households ....................................... 16

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the person.

Language and Ability to Speak English

PCT38. AGE BY LANGUAGE SPOKEN AT HOME BY ABILITY TO SPEAK ENGLISH FOR THE

POPULATION 5 YEARS AND OVER

Universe: Population 5 years and over...................................................... 67

PCT39. NATIVITY BY LANGUAGE SPOKEN AT HOME BY ABILITY TO SPEAK ENGLISH FOR THE

POPULATION 5 YEARS AND OVER

Universe: Population 5 years and over...................................................... 45

PCT40. AGE BY LANGUAGE SPOKEN AT HOME FOR THE POPULATION 5 YEARS AND OVER IN

LINGUISTICALLY ISOLATED HOUSEHOLDS

Universe: Population 5 years and over in linguistically isolated households...................... 17

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the person.

PCT41. LANGUAGE DENSITY BY LINGUISTIC ISOLATION BY AGE FOR THE POPULATION 5 YEARS AND

OVER IN HOUSEHOLDS

Universe: Population 5 years and over in households ........................................ 28

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the person.

PCT42. HOUSEHOLD LANGUAGE BY LINGUISTIC ISOLATION

Universe: Households .................................................................... 14

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

5–4 List of Tables

U.S. Census Bureau, Census 2000
Table

(matrix)

Title

Total

number

of data

cells

Place of Birth, Citizenship Status, and Year of Entry

PCT43. SEX BY PLACE OF BIRTH BY CITIZENSHIP STATUS

Universe: Total population................................................................. 31

PCT44. SEX BY AGE BY CITIZENSHIP STATUS

Universe: Total population................................................................. 23

PCT45. SEX BY YEAR OF ENTRY FOR THE FOREIGN-BORN POPULATION

Universe: Foreign-born population.......................................................... 19

PCT46. SEX BY YEAR OF ENTRY BY CITIZENSHIP STATUS FOR THE FOREIGN-BORN POPULATION

Universe: Foreign-born population.......................................................... 21

PCT47. SEX BY PLACE OF BIRTH BY YEAR OF ENTRY FOR THE FOREIGN-BORN POPULATION

Universe: Foreign-born population.......................................................... 89

PCT48. PLACE OF BIRTH BY YEAR OF ENTRY BY CITIZENSHIP STATUS FOR THE FOREIGN-BORN

POPULATION

Universe: Foreign-born population.......................................................... 104

Migration

PCT49. RESIDENCE IN 1995 FOR THE POPULATION 5 YEARS AND OVER— STATE, COUNTY, AND PLACE

LEVEL

Universe: Population 5 years and over...................................................... 26

PCT50. RESIDENCE IN 1995 FOR THE POPULATION 5 YEARS AND OVER—MSA/PMSA LEVEL

Universe: Population 5 years and over...................................................... 43

Place of Work

PCT51. PLACE OF WORK FOR WORKERS 16 YEARS AND OVER—STATE AND COUNTY LEVEL

Universe: Workers 16 years and over . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5

PCT52. PLACE OF WORK FOR WORKERS 16 YEARS AND OVER—PLACE LEVEL

Universe: Workers 16 years and over . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5

PCT53. PLACE OF WORK FOR WORKERS 16 YEARS AND OVER—MSA/PMSA LEVEL

Universe: Workers 16 years and over . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25

PCT54. PLACE OF WORK FOR WORKERS 16 YEARS AND OVER—MINOR CIVIL DIVISION LEVEL FOR

12 SELECTED STATES (CT, ME, MA, MI, MN, NH, NJ, NY, PA, RI, VT, WI)

Universe: Workers 16 years and over . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5

Journey to Work (Commuting)

PCT55. MEANS OF TRANSPORTATION TO WORK FOR WORKERS 16 YEARS AND OVER

Universe: Workers 16 years and over . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16

PCT56. TRAVEL TIME TO WORK FOR WORKERS 16 YEARS AND OVER

Universe: Workers 16 years and over . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15

PCT57. TRAVEL TIME TO WORK BY MEANS OF TRANSPORTATION TO WORK FOR WORKERS 16 YEARS

AND OVER WHO DID NOT WORK AT HOME

Universe: Workers 16 years and over who did not work at home .............................. 13

PCT58. AGGREGATE TRAVEL TIME TO WORK (IN MINUTES) BY TRAVEL TIME TO WORK BY MEANS OF

TRANSPORTATION TO WORK FOR WORKERS 16 YEARS AND OVER WHO DID NOT WORK AT

HOME

Universe: Workers 16 years and over who did not work at home .............................. 13

PCT59. TIME LEAVING HOME TO GO TO WORK FOR WORKERS 16 YEARS AND OVER

Universe: Workers 16 years and over . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17

PCT60. PRIVATE VEHICLE OCCUPANCY FOR WORKERS 16 YEARS AND OVER

Universe: Workers 16 years and over . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10

School Enrollment and Educational Attainment

PCT61. SEX BY SCHOOL ENROLLMENT BY LEVEL OF SCHOOL BY TYPE OF SCHOOL FOR THE

POPULATION 3 YEARS AND OVER

Universe: Population 3 years and over...................................................... 47

List of Tables 5–5

U.S. Census Bureau, Census 2000
Table

(matrix)

Title

Total

number

of data

cells

PCT62. SEX BY SCHOOL ENROLLMENT BY AGE FOR THE POPULATION 3 YEARS AND OVER

Universe: Population 3 years and over...................................................... 39

PCT63. SEX BY COLLEGE OR GRADUATE SCHOOL ENROLLMENT BY AGE FOR THE POPULATION

15 YEARS AND OVER

Universe: Population 15 years and over .................................................... 23

PCT64. SEX BY EDUCATIONAL ATTAINMENT FOR THE POPULATION 25 YEARS AND OVER

Universe: Population 25 years and over .................................................... 35

PCT65. SEX BY AGE BY EDUCATIONAL ATTAINMENT FOR THE POPULATION 18 YEARS AND OVER

Universe: Population 18 years and over .................................................... 83

PCT66. SEX BY ARMED FORCES STATUS BY SCHOOL ENROLLMENT BY EDUCATIONAL ATTAINMENT

BY EMPLOYMENT STATUS FOR THE POPULATION 16 TO 19 YEARS

Universe: Population 16 to 19 years ........................................................ 45

Veteran Status

PCT67. SEX BY AGE BY ARMED FORCES STATUS BY VETERAN STATUS FOR THE POPULATION

18 YEARS AND OVER

Universe: Population 18 years and over .................................................... 23

PCT68. PERIOD OF MILITARY SERVICE FOR CIVILIAN VETERANS 18 YEARS AND OVER

Universe: Civilian veterans 18 years and over ............................................... 21

Disability

PCT69. SEX BY AGE BY TYPES OF DISABILITY FOR THE CIVILIAN NONINSTITUTIONALIZED

POPULATION 5 YEARS AND OVER

Universe: Civilian noninstitutionalized population 5 years and over ............................. 101

PCT70. SEX BY AGE BY DISABILITY STATUS BY EMPLOYMENT STATUS FOR THE CIVILIAN

NONINSTITUTIONALIZED POPULATION 5 YEARS AND OVER

Universe: Civilian noninstitutionalized population 5 years and over ............................. 49

PCT71. SEX BY AGE BY SENSORY DISABILITY BY EMPLOYMENT STATUS FOR THE CIVILIAN

NONINSTITUTIONALIZED POPULATION 5 YEARS AND OVER

Universe: Civilian noninstitutionalized population 5 years and over ............................. 49

PCT72. SEX BY AGE BY PHYSICAL DISABILITY BY EMPLOYMENT STATUS FOR THE CIVILIAN

NONINSTITUTIONALIZED POPULATION 5 YEARS AND OVER

Universe: Civilian noninstitutionalized population 5 years and over ............................. 49

PCT73. SEX BY AGE BY MENTAL DISABILITY BY EMPLOYMENT STATUS FOR THE CIVILIAN

NONINSTITUTIONALIZED POPULATION 5 YEARS AND OVER

Universe: Civilian noninstitutionalized population 5 years and over ............................. 49

PCT74. SEX BY AGE BY SELF-CARE DISABILITY BY EMPLOYMENT STATUS FOR THE CIVILIAN

NONINSTITUTIONALIZED POPULATION 5 YEARS AND OVER

Universe: Civilian noninstitutionalized population 5 years and over ............................. 49

PCT75. SEX BY AGE BY GO-OUTSIDE-HOME DISABILITY BY EMPLOYMENT STATUS FOR THE

CIVILIAN NONINSTITUTIONALIZED POPULATION 16 YEARS AND OVER

Universe: Civilian noninstitutionalized population 16 years and over ............................ 43

PCT76. SEX BY AGE BY EMPLOYMENT DISABILITY BY EMPLOYMENT STATUS FOR THE CIVILIAN

NONINSTITUTIONALIZED POPULATION 16 TO 64 YEARS

Universe: Civilian noninstitutionalized population 16 to 64 years ............................... 31

PCT77. SEX BY DISABILITY STATUS BY SCHOOL ENROLLMENT BY EDUCATIONAL ATTAINMENT FOR

THE CIVILIAN NONINSTITUTIONALIZED POPULATION 18 TO 34 YEARS

Universe: Civilian noninstitutionalized population 18 to 34 years............................... 47

PCT78. SEX BY AGE BY DISABILITY STATUS BY POVERTY STATUS FOR THE CIVILIAN

NONINSTITUTIONALIZED POPULATION 5 YEARS AND OVER

Universe: Civilian noninstitutionalized population 5 years and over for whom poverty status is

determined . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59

5–6 List of Tables

U.S. Census Bureau, Census 2000
Table

(matrix)

Title

Total

number

of data

cells

Employment Status

PCT79. SEX BY AGE BY EMPLOYMENT STATUS FOR THE POPULATION 16 YEARS AND OVER

Universe: Population 16 years and over .................................................... 185

PCT80. PRESENCE OF OWN CHILDREN UNDER 18 YEARS BY AGE OF OWN CHILDREN BY

EMPLOYMENT STATUS FOR FEMALES 16 YEARS AND OVER

Universe: Females 16 years and over ...................................................... 22

PCT81. AGE OF OWN CHILDREN UNDER 18 YEARS IN FAMILIES AND SUBFAMILIES BY LIVING

ARRANGEMENTS BY EMPLOYMENT STATUS OF PARENTS

Universe: Own children under 18 years in families and subfamilies............................. 27

PCT82. SEX BY WORK STATUS IN 1999 BY USUAL HOURS WORKED PER WEEK IN 1999 BY WEEKS

WORKED IN 1999 FOR THE POPULATION 16 YEARS AND OVER

Universe: Population 16 years and over .................................................... 49

PCT83. FAMILY TYPE BY EMPLOYMENT STATUS

Universe: Families ....................................................................... 29

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

PCT84. FAMILY TYPE BY NUMBER OF WORKERS IN FAMILY IN 1999

Universe: Families ....................................................................... 21

NOTE: The data in this table refer to the race, Hispanic or Latino origin, American Indian or Alaska Native

tribe, or ancestry of the householder.

Industry, Occupation, and Class of Worker

PCT85. SEX BY INDUSTRY FOR THE EMPLOYED CIVILIAN POPULATION 16 YEARS AND OVER

Universe: Employed civilian population 16 years and over .................................... 207

PCT86. SEX BY OCCUPATION FOR THE EMPLOYED CIVILIAN POPULATION 16 YEARS AND OVER

Universe: Employed civilian population 16 years and over .................................... 253

PCT87. SEX BY INDUSTRY BY CLASS OF WORKER FOR THE EMPLOYED CIVILIAN POPULATION

16 YEARS AND OVER

Universe: Employed civilian population 16 years and over .................................... 65

Income (Household)

PCT88. HOUSEHOLD INCOME IN 1999

Universe: Households .................................................................... 17

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

PCT89. MEDIAN HOUSEHOLD INCOME IN 1999 (DOLLARS)

Universe: Households .................................................................... 1

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

PCT90. AGGREGATE HOUSEHOLD INCOME IN 1999 (DOLLARS)

Universe: Households .................................................................... 3

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

PCT91. AGE OF HOUSEHOLDER BY HOUSEHOLD INCOME IN 1999

Universe: Households .................................................................... 120

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

PCT92. MEDIAN HOUSEHOLD INCOME IN 1999 (DOLLARS) BY AGE OF HOUSEHOLDER

Universe: Households .................................................................... 8

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

List of Tables 5–7

U.S. Census Bureau, Census 2000
Table

(matrix)

Title

Total

number

of data

cells

PCT93. AGGREGATE HOUSEHOLD INCOME IN 1999 (DOLLARS) BY AGE OF HOUSEHOLDER

Universe: Households .................................................................... 8

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

PCT94. EARNINGS IN 1999 FOR HOUSEHOLDS

Universe: Households .................................................................... 3

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

PCT95. WAGE OR SALARY INCOME IN 1999 FOR HOUSEHOLDS

Universe: Households .................................................................... 3

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

PCT96. SELF-EMPLOYMENT INCOME IN 1999 FOR HOUSEHOLDS

Universe: Households .................................................................... 3

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

PCT97. INTEREST, DIVIDENDS, OR NET RENTAL INCOME IN 1999 FOR HOUSEHOLDS

Universe: Households .................................................................... 3

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

PCT98. SOCIAL SECURITY INCOME IN 1999 FOR HOUSEHOLDS

Universe: Households .................................................................... 3

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

PCT99. SUPPLEMENTAL SECURITY INCOME (SSI) IN 1999 FOR HOUSEHOLDS

Universe: Households .................................................................... 3

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

PCT100. PUBLIC ASSISTANCE INCOME IN 1999 FOR HOUSEHOLDS

Universe: Households .................................................................... 3

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

PCT101. RETIREMENT INCOME IN 1999 FOR HOUSEHOLDS

Universe: Households .................................................................... 3

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

PCT102. OTHER TYPES OF INCOME IN 1999 FOR HOUSEHOLDS

Universe: Households .................................................................... 3

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

PCT103. AGGREGATE EARNINGS IN 1999 (DOLLARS) FOR HOUSEHOLDS

Universe: Households .................................................................... 1

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

PCT104. AGGREGATE WAGE OR SALARY INCOME IN 1999 (DOLLARS) FOR HOUSEHOLDS

Universe: Households .................................................................... 1

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

5–8 List of Tables

U.S. Census Bureau, Census 2000
Table

(matrix)

Title

Total

number

of data

cells

PCT105. AGGREGATE SELF-EMPLOYMENT INCOME IN 1999 (DOLLARS) FOR HOUSEHOLDS

Universe: Households .................................................................... 1

Aggregate self-employment income in 1999

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

PCT106. AGGREGATE INTEREST, DIVIDENDS, OR NET RENTAL INCOME IN 1999 (DOLLARS) FOR

HOUSEHOLDS

Universe: Households .................................................................... 1

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

PCT107. AGGREGATE SOCIAL SECURITY INCOME IN 1999 (DOLLARS) FOR HOUSEHOLDS

Universe: Households .................................................................... 1

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

PCT108. AGGREGATE SUPPLEMENTAL SECURITY INCOME (SSI) IN 1999 (DOLLARS) FOR

HOUSEHOLDS

Universe: Households .................................................................... 1

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

PCT109. AGGREGATE PUBLIC ASSISTANCE INCOME IN 1999 (DOLLARS) FOR HOUSEHOLDS

Universe: Households .................................................................... 1

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

PCT110. AGGREGATE RETIREMENT INCOME IN 1999 (DOLLARS) FOR HOUSEHOLDS

Universe: Households .................................................................... 1

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

PCT111. AGGREGATE OTHER TYPES OF INCOME IN 1999 (DOLLARS) FOR HOUSEHOLDS

Universe: Households .................................................................... 1

Aggregate other types of income in 1999

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

Income (Family)

PCT112. FAMILY INCOME IN 1999

Universe: Families ....................................................................... 17

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

PCT113. MEDIAN FAMILY INCOME IN 1999 (DOLLARS)

Universe: Families ....................................................................... 1

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

PCT114. AGGREGATE FAMILY INCOME IN 1999 (DOLLARS)

Universe: Families ....................................................................... 3

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

PCT115. MEDIAN FAMILY INCOME IN 1999 (DOLLARS) BY NUMBER OF WORKERS IN FAMILY IN 1999

Universe: Families ....................................................................... 5

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

List of Tables 5–9

U.S. Census Bureau, Census 2000
Table

(matrix)

Title

Total

number

of data

cells

PCT116. AGGREGATE FAMILY INCOME IN 1999 (DOLLARS) BY NUMBER OF WORKERS IN FAMILY IN 1999

Universe: Families ....................................................................... 5

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

PCT117. FAMILY SIZE BY FAMILY INCOME IN 1999

Universe: Families ....................................................................... 103

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

PCT118. MEDIAN FAMILY INCOME IN 1999 (DOLLARS) BY FAMILY SIZE

Universe: Families ....................................................................... 7

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

PCT119. MEDIAN FAMILY INCOME IN 1999 (DOLLARS) BY FAMILY TYPE BY AGE OF HOUSEHOLDER

Universe: Families ....................................................................... 29

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

PCT120. AGGREGATE FAMILY INCOME IN 1999 (DOLLARS) BY FAMILY TYPE BY AGE OF

HOUSEHOLDER

Universe: Families ....................................................................... 29

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

PCT121. FAMILY TYPE BY PRESENCE OF OWN CHILDREN UNDER 18 YEARS BY FAMILY INCOME IN 1999

Universe: Families ....................................................................... 107

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

PCT122. MEDIAN FAMILY INCOME IN 1999 (DOLLARS) BY PRESENCE OF OWN CHILDREN UNDER

18 YEARS

Universe: Families ....................................................................... 3

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

PCT123. MEDIAN FAMILY INCOME IN 1999 (DOLLARS) BY FAMILY TYPE BY PRESENCE OF OWN

CHILDREN UNDER 18 YEARS

Universe: Families ....................................................................... 11

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

PCT124. AGGREGATE FAMILY INCOME IN 1999 (DOLLARS) BY FAMILY TYPE BY PRESENCE OF OWN

CHILDREN UNDER 18 YEARS

Universe: Families ....................................................................... 11

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

Income (Nonfamily)

PCT125. NONFAMILY HOUSEHOLD INCOME IN 1999

Universe: Nonfamily households ........................................................... 17

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

PCT126. MEDIAN NONFAMILY HOUSEHOLD INCOME IN 1999 (DOLLARS)

Universe: Nonfamily households ........................................................... 1

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

5–10 List of Tables

U.S. Census Bureau, Census 2000
Table

(matrix)

Title

Total

number

of data

cells

PCT127. AGGREGATE NONFAMILY HOUSEHOLD INCOME IN 1999 (DOLLARS)

Universe: Nonfamily households ........................................................... 3

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

PCT128. MEDIAN NONFAMILY HOUSEHOLD INCOME IN 1999 (DOLLARS) BY SEX OF HOUSEHOLDER BY

LIVING ALONE BY AGE OF HOUSEHOLDER

Universe: Nonfamily households ........................................................... 15

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

PCT129. AGGREGATE NONFAMILY HOUSEHOLD INCOME IN 1999 (DOLLARS) BY SEX OF

HOUSEHOLDER BY LIVING ALONE BY AGE OF HOUSEHOLDER

Universe: Nonfamily households ........................................................... 15

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

Income and Earnings (Individuals)

PCT130. PER CAPITA INCOME IN 1999 (DOLLARS)

Universe: Total population................................................................. 1

PCT131. AGGREGATE INCOME IN 1999 (DOLLARS) FOR THE POPULATION 15 YEARS AND OVER

Universe: Population 15 years and over .................................................... 1

PCT132. SEX BY WORK EXPERIENCE IN 1999 BY INCOME IN 1999 FOR THE POPULATION 15 YEARS AND

OVER

Universe: Population 15 years and over .................................................... 95

PCT133. MEDIAN INCOME IN 1999 (DOLLARS) BY SEX BY WORK EXPERIENCE IN 1999 FOR THE

POPULATION 15 YEARS AND OVER WITH INCOME

Universe: Population 15 years and over with income in 1999 .................................. 6

PCT134. AGGREGATE INCOME IN 1999 (DOLLARS) BY SEX BY WORK EXPERIENCE IN 1999 FOR THE

POPULATION 15 YEARS AND OVER WITH INCOME

Universe: Population 15 years and over with income in 1999 .................................. 7

PCT135. SEX BY EARNINGS IN 1999 FOR THE POPULATION 16 YEARS AND OVER WITH EARNINGS

Universe: Population 16 years and over with earnings ........................................ 43

PCT136. MEDIAN EARNINGS IN 1999 (DOLLARS) BY SEX FOR THE POPULATION 16 YEARS AND OVER

WITH EARNINGS

Universe: Population 16 years and over with earnings ........................................ 3

PCT137. AGGREGATE EARNINGS IN 1999 (DOLLARS) BY SEX FOR THE POPULATION 16 YEARS AND

OVER WITH EARNINGS

Universe: Population 16 years and over with earnings ........................................ 3

PCT138. SEX BY WORK EXPERIENCE IN 1999 BY EARNINGS IN 1999 FOR THE POPULATION 16 YEARS

AND OVER

Universe: Population 16 years and over .................................................... 95

PCT139. MEDIAN EARNINGS IN 1999 (DOLLARS) BY WORK EXPERIENCE IN 1999 BY SEX FOR THE

POPULATION 16 YEARS AND OVER WITH EARNINGS IN 1999

Universe: Population 16 years and over with earnings in 1999................................. 6

PCT140. AGGREGATE EARNINGS IN 1999 (DOLLARS) BY SEX FOR FULL-TIME, YEAR-ROUND

WORKERS 16 YEARS AND OVER WITH EARNINGS IN 1999

Universe: Full-time, year-round workers 16 years and over with earnings in 1999 ................ 3

Poverty Status (Individuals)

PCT141. RATIO OF INCOME IN 1999 TO POVERTY LEVEL

Universe: Population for whom poverty status is determined .................................. 11

PCT142. POVERTY STATUS IN 1999 BY SEX BY AGE

Universe: Population for whom poverty status is determined .................................. 59

PCT143. POVERTY STATUS IN 1999 BY AGE BY HOUSEHOLD TYPE

Universe: Population for whom poverty status is determined .................................. 39

List of Tables 5–11

U.S. Census Bureau, Census 2000
Table

(matrix)

Title

Total

number

of data

cells

PCT144. AGE BY RATIO OF INCOME IN 1999 TO POVERTY LEVEL

Universe: Population for whom poverty status is determined .................................. 144

PCT145. RATIO OF INCOME IN 1999 TO POVERTY LEVEL BY AGE BY EDUCATIONAL ATTAINMENT FOR

THE POPULATION 18 YEARS AND OVER

Universe: Population 18 years and over for whom poverty status is determined ................. 111

PCT146. RATIO OF INCOME IN 1999 TO POVERTY LEVEL BY TYPE OF PUBLIC ASSISTANCE INCOME IN

1999

Universe: Population for whom poverty status is determined .................................. 16

PCT147. POVERTY STATUS IN 1999 BY PLACE OF BIRTH BY CITIZENSHIP STATUS

Universe: Population for whom poverty status is determined .................................. 21

PCT148. POVERTY STATUS IN 1999 BY DISABILITY STATUS BY AGE FOR THE POPULATION 5 YEARS

AND OVER .............................................................................

Universe: Civilian noninstitutionalized population 5 years and over for whom poverty status is

determined . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43

PCT149. POVERTY STATUS IN 1999 BY CITIZENSHIP STATUS BY YEAR OF ENTRY FOR THE

FOREIGN-BORN POPULATION

Universe: Foreign-born population for whom poverty status is determined....................... 27

PCT150. POVERTY STATUS IN 1999 OF RELATED CHILDREN UNDER 18 YEARS BY FAMILY TYPE BY AGE

Universe: Related children under 18 years .................................................. 29

PCT151. POVERTY STATUS IN 1999 OF UNRELATED INDIVIDUALS BY SEX BY AGE

Universe: Unrelated individuals 15 years and over for whom poverty status is determined ........ 43

PCT152. AGGREGATE INCOME DEFICIT IN 1999 (DOLLARS) OF UNRELATED INDIVIDUALS BY SEX

Universe: Unrelated individuals with income in 1999 below the poverty level .................... 3

PCT153. POVERTY STATUS IN 1999 OF UNRELATED INDIVIDUALS BY SEX BY AGE BY HOUSEHOLDER

STATUS (INCLUDING LIVING ALONE)

Universe: Unrelated individuals for whom poverty status is determined ......................... 107

PCT154. POVERTY STATUS IN 1999 OF UNRELATED INDIVIDUALS BY HOUSEHOLDER STATUS

(INCLUDING LIVING ALONE) BY EDUCATIONAL ATTAINMENT

Universe: Unrelated individuals for whom poverty status is determined ......................... 23

PCT155. POVERTY STATUS IN 1999 OF UNRELATED INDIVIDUALS BY HOUSEHOLDER STATUS

(INCLUDING LIVING ALONE) BY SOCIAL SECURITY INCOME BY PUBLIC ASSISTANCE INCOME

Universe: Unrelated individuals for whom poverty status is determined ......................... 47

PCT156. POVERTY STATUS IN 1999 OF UNRELATED INDIVIDUALS BY WORK EXPERIENCE BY

HOUSEHOLDER STATUS

Universe: Unrelated individuals for whom poverty status is determined ......................... 21

Poverty Status (Family)

PCT157. POVERTY STATUS IN 1999 OF FAMILIES BY FAMILY TYPE BY PRESENCE OF RELATED

CHILDREN UNDER 18 YEARS BY AGE OF RELATED CHILDREN

Universe: Families ....................................................................... 41

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

PCT158. AGGREGATE INCOME DEFICIT IN 1999 (DOLLARS) FOR FAMILIES BY FAMILY TYPE

Universe: Families with income in 1999 below the poverty level ............................... 5

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

PCT159. POVERTY STATUS IN 1999 OF FAMILIES BY DISABILITY STATUS OF HOUSEHOLDER

Universe: Families ....................................................................... 7

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

5–12 List of Tables

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PCT160. POVERTY STATUS IN 1999 OF FAMILIES BY FAMILY TYPE BY SOCIAL SECURITY INCOME BY

SUPPLEMENTAL SECURITY INCOME (SSI) AND/OR PUBLIC ASSISTANCE INCOME

Universe: Families ....................................................................... 47

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

PCT161. POVERTY STATUS IN 1999 OF FAMILIES BY FAMILY TYPE BY WORK EXPERIENCE OF

HOUSEHOLDER AND SPOUSE

Universe: Families ....................................................................... 47

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

PCT162. RATIO OF INCOME IN 1999 TO POVERTY LEVEL OF FAMILIES BY FAMILY TYPE BY PRESENCE

OF RELATED CHILDREN UNDER 18 YEARS BY AGE OF RELATED CHILDREN

Universe: Families ....................................................................... 81

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

Poverty Status (Household)

PCT163. POVERTY STATUS IN 1999 OF HOUSEHOLDS BY HOUSEHOLD TYPE BY AGE OF

HOUSEHOLDER

Universe: Households .................................................................... 59

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

PCT164. RATIO OF INCOME IN 1999 TO POVERTY LEVEL BY HOUSEHOLD TYPE

Universe: Households .................................................................... 19

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

Imputation

PCT165. IMPUTATION OF POPULATION ITEMS

Universe: Total population................................................................. 3

PCT166. IMPUTATION OF POPULATION ITEMS FOR THE POPULATION IN GROUP QUARTERS

Universe: Population in group quarters ..................................................... 3

PCT167. IMPUTATION OF RELATIONSHIP

Universe: Population in households ........................................................ 3

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the person.

PCT168. IMPUTATION OF SEX

Universe: Total population................................................................. 3

PCT169. IMPUTATION OF AGE

Universe: Total population................................................................. 3

PCT170. IMPUTATION OF GRANDPARENTS LIVING WITH OWN GRANDCHILDREN UNDER 18 YEARS FOR

THE POPULATION 30 YEARS AND OVER IN HOUSEHOLDS

Universe: Population 30 years and over in households ....................................... 3

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the person.

PCT171. IMPUTATION OF RESPONSIBILITY FOR OWN GRANDCHILDREN UNDER 18 YEARS FOR THE

POPULATION 30 YEARS AND OVER IN HOUSEHOLDS

Universe: Population 30 years and over in households ....................................... 5

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the person.

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PCT172. IMPUTATION OF LENGTH OF TIME GRANDPARENT RESPONSIBLE FOR OWN

GRANDCHILDREN UNDER 18 YEARS FOR THE POPULATION 30 YEARS AND OVER IN

HOUSEHOLDS

Universe: Population 30 years and over in households ....................................... 7

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the person.

PCT173. IMPUTATION OF MARITAL STATUS FOR THE POPULATION 15 YEARS AND OVER

Universe: Population 15 years and over .................................................... 3

PCT174. IMPUTATION OF PLACE OF BIRTH

Universe: Total population................................................................. 3

PCT175. IMPUTATION OF CITIZENSHIP STATUS

Universe: Total population................................................................. 3

PCT176. IMPUTATION OF YEAR OF ENTRY FOR THE FOREIGN-BORN POPULATION

Universe: Foreign-born population.......................................................... 3

PCT177. IMPUTATION OF LANGUAGE STATUS FOR THE POPULATION 5 YEARS AND OVER

Universe: Population 5 years and over...................................................... 3

PCT178. IMPUTATION OF LANGUAGE SPOKEN AT HOME FOR THE POPULATION 5 YEARS AND OVER

Universe: Population 5 years and over...................................................... 7

PCT179. IMPUTATION OF ABILITY TO SPEAK ENGLISH FOR THE POPULATION 5 YEARS AND OVER

Universe: Population 5 years and over...................................................... 5

PCT180. IMPUTATION OF SCHOOL ENROLLMENT AND TYPE OF SCHOOL FOR THE POPULATION

3 YEARS AND OVER

Universe: Population 3 years and over...................................................... 3

PCT181. IMPUTATION OF GRADE ENROLLED FOR THE POPULATION 3 YEARS AND OVER ENROLLED

IN SCHOOL

Universe: Population 3 years and over enrolled in school ..................................... 3

PCT182. IMPUTATION OF EDUCATIONAL ATTAINMENT FOR THE POPULATION 25 YEARS AND OVER

Universe: Population 25 years and over .................................................... 3

PCT183. IMPUTATION OF MOBILITY STATUS FOR THE POPULATION 5 YEARS AND OVER

Universe: Population 5 years and over...................................................... 3

PCT184. IMPUTATION OF RESIDENCE 5 YEARS AGO FOR THE POPULATION 5 YEARS AND OVER

Universe: Population 5 years and over...................................................... 7

PCT185. IMPUTATION OF VETERAN STATUS FOR THE POPULATION 18 YEARS AND OVER

Universe: Population 18 years and over .................................................... 3

PCT186. IMPUTATION OF PERIOD OF MILITARY SERVICE FOR CIVILIAN VETERANS 18 YEARS AND OVER

Universe: Civilian veterans 18 years and over ............................................... 3

PCT187. IMPUTATION OF LENGTH OF MILITARY SERVICE FOR CIVILIAN VETERANS 18 YEARS AND OVER

Universe: Civilian veterans 18 years and over ............................................... 3

PCT188. IMPUTATION OF DISABILITY ITEMS FOR THE CIVILIAN NONINSTITUTIONALIZED POPULATION

5 YEARS AND OVER

Universe: Civilian noninstitutionalized population 5 years and over ............................. 3

PCT189. IMPUTATION OF SENSORY DISABILITY FOR THE CIVILIAN NONINSTITUTIONALIZED

POPULATION 5 YEARS AND OVER

Universe: Civilian noninstitutionalized population 5 years and over ............................. 3

PCT190. IMPUTATION OF PHYSICAL DISABILITY FOR THE CIVILIAN NONINSTITUTIONALIZED

POPULATION 5 YEARS AND OVER

Universe: Civilian noninstitutionalized population 5 years and over ............................. 3

PCT191. IMPUTATION OF MENTAL DISABILITY FOR THE CIVILIAN NONINSTITUTIONALIZED POPULATION

5 YEARS AND OVER

Universe: Civilian noninstitutionalized population 5 years and over ............................. 3

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PCT192. IMPUTATION OF SELF-CARE DISABILITY FOR THE CIVILIAN NONINSTITUTIONALIZED

POPULATION 5 YEARS AND OVER

Universe: Civilian noninstitutionalized population 5 years and over ............................ 3

PCT193. IMPUTATION OF GO-OUTSIDE-HOME DISABILITY FOR THE CIVILIAN NONINSTITUTIONALIZED

POPULATION 16 YEARS AND OVER

Universe: Civilian noninstitutionalized population 16 years and over ............................ 3

PCT194. IMPUTATION OF EMPLOYMENT DISABILITY FOR THE CIVILIAN NONINSTITUTIONALIZED

POPULATION 16 TO 64 YEARS

Universe: Civilian noninstitutionalized population 16 to 64 years ............................... 3

PCT195. IMPUTATION OF PLACE OF WORK FOR WORKERS 16 YEARS AND OVER

Universe: Workers 16 years and over . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5

PCT196. IMPUTATION OF MEANS OF TRANSPORTATION TO WORK FOR WORKERS 16 YEARS AND OVER

Universe: Workers 16 years and over . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3

PCT197. IMPUTATION OF PRIVATE VEHICLE OCCUPANCY FOR WORKERS 16 YEARS AND OVER

Universe: Workers 16 years and over . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5

PCT198. IMPUTATION OF TIME LEAVING HOME TO GO TO WORK FOR WORKERS 16 YEARS AND OVER

Universe: Workers 16 years and over . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5

PCT199. IMPUTATION OF TRAVEL TIME TO WORK FOR WORKERS 16 YEARS AND OVER

Universe: Workers 16 years and over . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5

PCT200. IMPUTATION OF EMPLOYMENT STATUS FOR THE POPULATION 16 YEARS AND OVER

Universe: Population 16 years and over .................................................... 3

PCT201. IMPUTATION OF WORK STATUS IN 1999 FOR THE POPULATION 16 YEARS AND OVER

Universe: Population 16 years and over .................................................... 3

PCT202. IMPUTATION OF USUAL HOURS WORKED PER WEEK IN 1999 FOR THE POPULATION

16 YEARS AND OVER

Universe: Population 16 years and over .................................................... 5

PCT203. IMPUTATION OF WEEKS WORKED IN 1999 FOR THE POPULATION 16 YEARS AND OVER

Universe: Population 16 years and over .................................................... 5

PCT204. IMPUTATION OF INDUSTRY FOR THE EMPLOYED CIVILIAN POPULATION 16 YEARS AND OVER

Universe: Employed civilian population 16 years and over .................................... 3

PCT205. IMPUTATION OF OCCUPATION FOR THE EMPLOYED CIVILIAN POPULATION 16 YEARS AND OVER

Universe: Employed civilian population 16 years and over .................................... 3

PCT206. IMPUTATION OF CLASS OF WORKER FOR THE EMPLOYED CIVILIAN POPULATION 16 YEARS

AND OVER

Universe: Employed civilian population 16 years and over .................................... 3

PCT207. IMPUTATION OF INDIVIDUALS’ INCOME IN 1999 FOR THE POPULATION 15 YEARS AND

OVER—PERCENT OF INCOME IMPUTED

Universe: Population 15 years and over .................................................... 7

PCT208. IMPUTATION OF EARNINGS IN 1999 FOR THE POPULATION 16 YEARS AND OVER—PERCENT

OF EARNINGS IMPUTED

Universe: Population 16 years and over .................................................... 7

PCT209. IMPUTATION OF HOUSEHOLD INCOME IN 1999—PERCENT OF INCOME IMPUTED

Universe: Households .................................................................... 7

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

PCT210. IMPUTATION OF FAMILY INCOME IN 1999—PERCENT OF INCOME IMPUTED

Universe: Families ....................................................................... 7

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

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PCT211. IMPUTATION OF NONFAMILY HOUSEHOLD INCOME IN 1999—PERCENT OF INCOME IMPUTED

Universe: Nonfamily households ........................................................... 7

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the householder.

PCT212. POVERTY STATUS IN 1999 OF UNRELATED INDIVIDUALS BY IMPUTATION OF INDIVIDUALS’

INCOME—PERCENT OF INCOME IMPUTED

Universe: Unrelated individuals for whom poverty status is determined ......................... 14

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the person.

PCT213. POVERTY STATUS IN 1999 OF INDIVIDUALS IN FAMILIES BY IMPUTATION OF FAMILY

INCOME—PERCENT OF INCOME IMPUTED

Universe: Population in families ............................................................ 14

NOTE: When a category other than Total Population is selected, the data in this table refer to the race,

Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the person.

HOUSING SPECIFICATIONS

Tenure, Occupancy, and Vacancy Characteristics

HCT1. URBAN AND RURAL

Universe: Occupied housing units . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7

HCT2. TENURE

Universe: Occupied housing units . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3

HCT3. TENURE BY AGE OF HOUSEHOLDER

Universe: Occupied housing units . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21

HCT4. TOTAL POPULATION IN OCCUPIED HOUSING UNITS BY TENURE

Universe: Population in occupied housing units .............................................. 3

HCT5. HOUSEHOLD SIZE

Universe: Occupied housing units . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8

HCT6. TENURE BY HOUSEHOLD SIZE

Universe: Occupied housing units . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17

HCT7. AVERAGE HOUSEHOLD SIZE OF OCCUPIED HOUSING UNITS BY TENURE

(2 expressed decimals)

Universe: Occupied housing units . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3

HCT8. TENURE BY HOUSEHOLD TYPE AND PRESENCE AND AGE OF OWN CHILDREN

Universe: Occupied housing units . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53

HCT9. TENURE BY HOUSEHOLD TYPE (INCLUDING LIVING ALONE) BY AGE OF HOUSEHOLDER

Universe: Occupied housing units . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 125

HCT10. TENURE BY HOUSEHOLD SIZE BY AGE OF HOUSEHOLDER

Universe: Occupied housing units . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35

HCT11. TENURE BY OCCUPANTS PER ROOM

Universe: Occupied housing units . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13

HCT12. TENURE BY AGE OF HOUSEHOLDER BY OCCUPANTS PER ROOM

Universe: Occupied housing units . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59

HCT13. TENURE BY PLUMBING FACILITIES BY OCCUPANTS PER ROOM

Universe: Occupied housing units . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19

HCT14. TENURE BY ROOMS

Universe: Occupied housing units . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21

HCT15. MEDIAN NUMBER OF ROOMS BY TENURE

(1 expressed decimal)

Universe: Occupied housing units . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3

HCT16. AGGREGATE NUMBER OF ROOMS BY TENURE

Universe: Occupied housing units . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3

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Units in Structure

HCT17. TENURE BY UNITS IN STRUCTURE

Universe: Occupied housing units . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23

HCT18. TOTAL POPULATION IN OCCUPIED HOUSING UNITS BY TENURE BY UNITS IN STRUCTURE

Universe: Population in occupied housing units .............................................. 23

HCT19. TENURE BY HOUSEHOLD SIZE BY UNITS IN STRUCTURE

Universe: Occupied housing units . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83

HCT20. TENURE BY AGE OF HOUSEHOLDER BY UNITS IN STRUCTURE

Universe: Occupied housing units . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115

Year Structure Built

HCT21. TENURE BY YEAR STRUCTURE BUILT

Universe: Occupied housing units . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21

HCT22. MEDIAN YEAR STRUCTURE BUILT BY TENURE

Universe: Occupied housing units . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3

HCT23. TENURE BY YEAR STRUCTURE BUILT BY UNITS IN STRUCTURE

Universe: Occupied housing units . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 147

Year Householder Moved Into Unit

HCT24. TENURE BY YEAR HOUSEHOLDER MOVED INTO UNIT

Universe: Occupied housing units . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15

HCT25. MEDIAN YEAR HOUSEHOLDER MOVED INTO UNIT BY TENURE

Universe: Occupied housing units . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3

HCT26. TENURE BY AGE OF HOUSEHOLDER BY YEAR HOUSEHOLDER MOVED INTO UNIT

Universe: Occupied housing units . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101

HCT27. TENURE BY YEAR HOUSEHOLDER MOVED INTO UNIT BY UNITS IN STRUCTURE

Universe: Occupied housing units . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99

HCT28. TOTAL POPULATION IN OCCUPIED HOUSING UNITS BY TENURE BY YEAR HOUSEHOLDER MOVED

INTO UNIT

Universe: Population in occupied housing units .............................................. 15

House Heating Fuel

HCT29. TENURE BY HOUSE HEATING FUEL

Universe: Occupied housing units . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21

Bedrooms

HCT30. TENURE BY BEDROOMS

Universe: Occupied housing units . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15

Telephone Service Available

HCT31. TENURE BY TELEPHONE SERVICE AVAILABLE BY AGE OF HOUSEHOLDER

Universe: Occupied housing units . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35

Vehicles Available

HCT32. TENURE BY VEHICLES AVAILABLE

Universe: Occupied housing units . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15

HCT33. TENURE BY VEHICLES AVAILABLE BY AGE OF HOUSEHOLDER

Universe: Occupied housing units . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35

HCT34. AGGREGATE NUMBER OF VEHICLES AVAILABLE BY TENURE

Universe: Occupied housing units . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3

Household Income in 1999

HCT35. TENURE BY HOUSEHOLD INCOME IN 1999

Universe: Occupied housing units . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25

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HCT36. MEDIAN HOUSEHOLD INCOME IN 1999 (DOLLARS) BY TENURE

Universe: Occupied housing units . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3

HCT37. AGGREGATE HOUSEHOLD INCOME IN 1999 (DOLLARS) BY TENURE AND MORTGAGE STATUS

Universe: Occupied housing units . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5

HCT38. AGGREGATE HOUSEHOLD INCOME IN 1999 (DOLLARS) BY TENURE BY AGE OF

HOUSEHOLDER BY UNITS IN STRUCTURE

Universe: Occupied housing units . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51

HCT39. AGGREGATE HOUSEHOLD INCOME IN 1999 (DOLLARS) BY TENURE BY AGE OF

HOUSEHOLDER BY YEAR STRUCTURE BUILT

Universe: Occupied housing units . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63

HCT40. AGGREGATE HOUSEHOLD INCOME IN 1999 (DOLLARS) BY TENURE BY AGE OF

HOUSEHOLDER BY YEAR HOUSEHOLDER MOVED INTO UNIT

Universe: Occupied housing units . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45

Plumbing Facilities

HCT41. TENURE BY PLUMBING FACILITIES

Universe: Occupied housing units . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7

HCT42. PLUMBING FACILITIES BY OCCUPANTS PER ROOM BY YEAR STRUCTURE BUILT

Universe: Occupied housing units . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43

Kitchen Facilities

HCT43. TENURE BY KITCHEN FACILITIES

Universe: Occupied housing units . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7

HCT44. KITCHEN FACILITIES BY MEALS INCLUDED IN RENT

Universe: Specified renter-occupied housing units paying cash rent ............................ 7

Rent (Contract and Gross)

HCT45. AGE OF HOUSEHOLDER BY MEALS INCLUDED IN RENT

Universe: Specified renter-occupied housing units paying cash rent ............................ 13

HCT46. CONTRACT RENT

Universe: Specified renter-occupied housing units............................................ 24

HCT47. LOWER CONTRACT RENT QUARTILE (DOLLARS)

Universe: Specified renter-occupied housing units paying cash rent ............................ 1

HCT48. MEDIAN CONTRACT RENT (DOLLARS)

Universe: Specified renter-occupied housing units paying cash rent ............................ 1

HCT49. UPPER CONTRACT RENT QUARTILE (DOLLARS)

Universe: Specified renter-occupied housing units paying cash rent ............................ 1

HCT50. AGGREGATE CONTRACT RENT (DOLLARS)

Universe: Specified renter-occupied housing units paying cash rent ............................ 1

HCT51. GROSS RENT

Universe: Specified renter-occupied housing units............................................ 24

HCT52. MEDIAN GROSS RENT (DOLLARS)

Universe: Specified renter-occupied housing units paying cash rent ............................ 1

HCT53. AGGREGATE GROSS RENT (DOLLARS)

Universe: Specified renter-occupied housing units paying cash rent ............................ 1

HCT54. AGGREGATE GROSS RENT (DOLLARS) BY MEALS INCLUDED IN RENT

Universe: Specified renter-occupied housing units paying cash rent ............................ 3

HCT55. AGGREGATE GROSS RENT (DOLLARS) BY UNITS IN STRUCTURE

Universe: Specified renter-occupied housing units paying cash rent ............................ 8

HCT56. HOUSEHOLD INCOME IN 1999 BY GROSS RENT

Universe: Specified renter-occupied housing units............................................ 120

5–18 List of Tables

U.S. Census Bureau, Census 2000
Table

(matrix)

Title

Total

number

of data

cells

HCT57. BEDROOMS BY GROSS RENT

Universe: Specified renter-occupied housing units............................................ 37

HCT58. INCLUSION OF UTILITIES IN RENT

Universe: Specified renter-occupied housing units............................................ 3

Gross Rent as a Percentage of Household Income in 1999

HCT59. GROSS RENT AS A PERCENTAGE OF HOUSEHOLD INCOME IN 1999

Universe: Specified renter-occupied housing units............................................ 11

HCT60. MEDIAN GROSS RENT AS A PERCENTAGE OF HOUSEHOLD INCOME IN 1999

(1 expressed decimal)

Universe: Specified renter-occupied housing units paying cash rent ............................ 1

HCT61. AGE OF HOUSEHOLDER BY GROSS RENT AS A PERCENTAGE OF HOUSEHOLD INCOME IN 1999

Universe: Specified renter-occupied housing units............................................ 50

HCT62. UNITS IN STRUCTURE BY GROSS RENT AS A PERCENTAGE OF HOUSEHOLD INCOME IN 1999

Universe: Specified renter-occupied housing units............................................ 50

HCT63. HOUSEHOLD INCOME IN 1999 BY GROSS RENT AS A PERCENTAGE OF HOUSEHOLD INCOME

IN 1999

Universe: Specified renter-occupied housing units............................................ 50

Value

HCT64. VALUE FOR SPECIFIED OWNER-OCCUPIED HOUSING UNITS

Universe: Specified owner-occupied housing units ........................................... 25

HCT65. LOWER VALUE QUARTILE (DOLLARS) FOR SPECIFIED OWNER-OCCUPIED HOUSING UNITS

Universe: Specified owner-occupied housing units ........................................... 1

HCT66. MEDIAN VALUE (DOLLARS) FOR SPECIFIED OWNER-OCCUPIED HOUSING UNITS

Universe: Specified owner-occupied housing units ........................................... 1

HCT67. UPPER VALUE QUARTILE (DOLLARS) FOR SPECIFIED OWNER-OCCUPIED HOUSING UNITS

Universe: Specified owner-occupied housing units ........................................... 1

HCT68. MEDIAN VALUE (DOLLARS) FOR MOBILE HOMES

Universe: Owner-occupied mobile homes ................................................... 1

HCT69. AGGREGATE VALUE (DOLLARS) FOR SPECIFIED OWNER-OCCUPIED HOUSING UNITS BY AGE

OF HOUSEHOLDER

Universe: Specified owner-occupied housing units ........................................... 8

HCT70. AGGREGATE VALUE (DOLLARS) FOR ALL OWNER-OCCUPIED HOUSING UNITS BY UNITS IN

STRUCTURE

Universe: Owner-occupied housing units .................................................... 8

HCT71. HOUSEHOLD INCOME IN 1999 BY VALUE FOR SPECIFIED OWNER-OCCUPIED HOUSING UNITS

Universe: Specified owner-occupied housing units ........................................... 106

HCT72. MORTGAGE STATUS

Universe: Specified owner-occupied housing units ........................................... 8

HCT73. AGGREGATE VALUE (DOLLARS) FOR SPECIFIED OWNER-OCCUPIED HOUSING UNITS BY

MORTGAGE STATUS

Universe: Specified owner-occupied housing units ........................................... 3

HCT74. AGGREGATE VALUE (DOLLARS) FOR MOBILE HOMES BY MORTGAGE STATUS

Universe: Owner-occupied mobile homes ................................................... 3

Mortgage Status and Selected Monthly Owner Costs

HCT75. MORTGAGE STATUS AND SELECTED MONTHLY OWNER COSTS FOR SPECIFIED

OWNER- OCCUPIED HOUSING UNITS

Universe: Specified owner-occupied housing units ........................................... 32

List of Tables 5–19

U.S. Census Bureau, Census 2000
Table

(matrix)

Title

Total

number

of data

cells

HCT76. MEDIAN SELECTED MONTHLY OWNER COSTS (DOLLARS) FOR SPECIFIED OWNER-OCCUPIED

HOUSING UNITS BY MORTGAGE STATUS

Universe: Specified owner-occupied housing units ........................................... 2

HCT77. AGGREGATE SELECTED MONTHLY OWNER COSTS (DOLLARS) FOR SPECIFIED

OWNER- OCCUPIED HOUSING UNITS BY MORTGAGE STATUS

Universe: Specified owner-occupied housing units ........................................... 3

HCT78. AGGREGATE SELECTED MONTHLY OWNER COSTS (DOLLARS) FOR MOBILE HOMES BY

MORTGAGE STATUS

Universe: Owner-occupied mobile homes ................................................... 3

HCT79. MORTGAGE STATUS BY SELECTED MONTHLY OWNER COSTS AS A PERCENTAGE OF

HOUSEHOLD INCOME IN 1999

Universe: Specified owner-occupied housing units ........................................... 23

HCT80. MEDIAN SELECTED MONTHLY OWNER COSTS AS A PERCENTAGE OF HOUSEHOLD INCOME

IN 1999 AND MORTGAGE STATUS

(1 expressed decimal)

Universe: Specified owner-occupied housing units ........................................... 3

HCT81. AGE OF HOUSEHOLDER BY SELECTED MONTHLY OWNER COSTS AS A PERCENTAGE OF

HOUSEHOLD INCOME IN 1999

Universe: Specified owner-occupied housing units ........................................... 50

HCT82. HOUSEHOLD INCOME IN 1999 BY SELECTED MONTHLY OWNER COSTS AS A PERCENTAGE

OF HOUSEHOLD INCOME IN 1999

Universe: Specified owner-occupied housing units ........................................... 57

Age of Householder

HCT83. TENURE BY AGE OF HOUSEHOLDER BY YEAR STRUCTURE BUILT

Universe: Occupied housing units . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 143

Real Estate Taxes

HCT84. REAL ESTATE TAXES

Universe: Specified owner-occupied housing units ........................................... 16

HCT85. MEDIAN REAL ESTATE TAXES (DOLLARS)

Universe: Specified owner-occupied housing units ........................................... 1

HCT86. AGGREGATE REAL ESTATE TAXES (DOLLARS)

Universe: Specified owner-occupied housing units ........................................... 1

Poverty Status in 1999

HCT87. TENURE BY POVERTY STATUS IN 1999 BY PLUMBING FACILITIES BY OCCUPANTS PER ROOM

Universe: Occupied housing units . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39

HCT88. TENURE BY POVERTY STATUS IN 1999 BY YEAR STRUCTURE BUILT

Universe: Occupied housing units . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43

HCT89. TENURE BY POVERTY STATUS IN 1999 BY AGE OF HOUSEHOLDER

Universe: Occupied housing units . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43

HCT90. TENURE BY POVERTY STATUS IN 1999 BY RECEIPT OF PUBLIC ASSISTANCE INCOME IN 1999

Universe: Occupied housing units . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15

HCT91. TENURE BY POVERTY STATUS IN 1999 BY RECEIPT OF SOCIAL SECURITY INCOME IN 1999

Universe: Occupied housing units . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15

HCT92. TENURE BY POVERTY STATUS IN 1999 BY TELEPHONE SERVICE AVAILABLE

Universe: Occupied housing units . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15

Selected Physical and Financial Conditions —

HCT93. TENURE BY SELECTED PHYSICAL AND FINANCIAL CONDITIONS

Universe: Occupied housing units . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13

5–20 List of Tables

U.S. Census Bureau, Census 2000
Table

(matrix)

Title

Total

number

of data

cells

Imputation

HCT94. IMPUTATION OF TENURE

Universe: Occupied housing units . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3

HCT95. IMPUTATION OF ROOMS

Universe: Occupied housing units . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3

HCT96. IMPUTATION OF UNITS IN STRUCTURE

Universe: Occupied housing units . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3

HCT97. IMPUTATION OF YEAR STRUCTURE BUILT

Universe: Occupied housing units ......................................................... 3

HCT98. IMPUTATION OF YEAR HOUSEHOLDER MOVED INTO UNIT

Universe: Occupied housing units . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3

HCT99. IMPUTATION OF HOUSE HEATING FUEL

Universe: Occupied housing units . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3

HCT100. IMPUTATION OF BEDROOMS

Universe: Occupied housing units ......................................................... 3

HCT101. IMPUTATION OF TELEPHONE SERVICE AVAILABLE

Universe: Occupied housing units . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3

HCT102. IMPUTATION OF VEHICLES AVAILABLE

Universe: Occupied housing units . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3

HCT103. IMPUTATION OF PLUMBING FACILITIES

Universe: Occupied housing units . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3

HCT104. IMPUTATION OF KITCHEN FACILITIES

Universe: Occupied housing units . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3

HCT105. IMPUTATION OF MEALS INCLUDED IN RENT

Universe: Specified renter-occupied housing units paying cash rent ............................ 3

HCT106. IMPUTATION OF CONTRACT RENT

Universe: Specified renter-occupied housing units............................................ 3

HCT107. IMPUTATION OF GROSS RENT

Universe: Specified renter-occupied housing units............................................ 3

HCT108. IMPUTATION OF VALUE FOR SPECIFIED OWNER-OCCUPIED HOUSING UNITS

Universe: Specified owner-occupied housing units ........................................... 3

HCT109. IMPUTATION OF MORTGAGE STATUS

Universe: Specified owner-occupied housing units ........................................... 3

HCT110. IMPUTATION OF MORTGAGE STATUS AND SELECTED MONTHLY OWNER COSTS FOR

SPECIFIED OWNER-OCCUPIED HOUSING UNITS

Universe: Specified owner-occupied housing units ........................................... 7

List of Tables 5–21

U.S. Census Bureau, Census 2000
Chapter 6.

Summary Table Outlines

Summary File 4 (SF 4) is repeated, or iterated, for the total population and 335 additional

population groups: 132 race groups, 78 American Indian and Alaska Native tribe categories, 39

Hispanic or Latino groups, and 86 ancestry groups.

Tables for any population group excluded from SF 2 because the group’s total population in a

specific geographic area did not meet the SF 2 threshold of 100 people are excluded from SF 4. In

addition, all tables are shown for any of the above population groups only if there are at least 50

unweighted sample cases in a specific geographic area. For the ancestry iterations, only the 50

unweighted sample cases test can be performed. See Appendix H, Characteristic Iterations, for the

list of race groups, American Indian and Alaska Native tribes, Hispanic or Latino, and ancestry

groups available for this summary file.

In an iterated file such as SF 4, the universes for households, families, and occupied housing units

are classified by the race or ethnic group of the householder (one of the 335 race and ethnic

groups). The universe for subfamilies is classified by the race or ethnic group of the reference

person for the subfamily. In a husband/wife subfamily, the reference person is the husband; in a

parent/child subfamily, the reference person is always the parent. The universes for population in

households, population in families, and population in subfamilies are classified by the race or

ethnic group of the individuals within the household, family, or subfamily, without regard to the

race or ethnicity of the householder. Notes follow selected tables to make the classification of the

universe clear. In any population table where there is no Note, the universe classification is always

based on the race or ethnicity of the person. In all housing tables, the universe classification is

based on the race or ethnicity of the householder.

Population Subjects (Summarized to Census Tract Level)

Basic Population Totals

PCT1. TOTAL POPULATION [1]

Universe: Total population

Total

PCT2. URBAN AND RURAL [7]

Universe: Total population

Total:

Urban:

Inside urbanized areas

Inside urban clusters

Rural:

Farm

Nonfarm

Summary Table Outlines 6–1

U.S. Census Bureau, Census 2000
PCT3. SEX BY AGE [209]

Universe: Total population

Total:

Male:

Under 1 year

1 year

2 years

3 years

4 years

.

.

.

99 years

100 to 104 years

105 to 109 years

110 years and over

Female:

(Repeat AGE)

PCT4. MEDIAN AGE BY SEX [3]

(1 expressed decimal)

Universe: Total population

Median age—

Total

Male

Female

PCT5. SEX BY AGE FOR THE POPULATION IN HOUSEHOLDS [49]

Universe: Population in households

Total:

Male:

Under 5 years

5 to 9 years

10 to 14 years

15 to 17 years

18 and 19 years

20 years

21 years

22 to 24 years

25 to 29 years

30 to 34 years

35 to 39 years

40 to 44 years

45 to 49 years

50 to 54 years

55 to 59 years

60 and 61 years

62 to 64 years

65 and 66 years

67 to 69 years

70 to 74 years

75 to 79 years

80 to 84 years

85 years and over

6–2 Summary Table Outlines

U.S. Census Bureau, Census 2000
PCT5. SEX BY AGE FOR THE POPULATION IN HOUSEHOLDS [49]—Con.

Total—Con.

Female:

(Repeat AGE)

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the person.

Households and Families

PCT6. HOUSEHOLDS [1]

Universe: Households

Total

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

PCT7. AGGREGATE POPULATION IN HOUSEHOLDS [1]

Universe: Households

Total

Note: When a category other than Total Population is selected, the data in this table refer to the

total number of people living in households based on the race, Hispanic or Latino origin,

American Indian or Alaska Native tribe, or ancestry of the householder. For the number of people

of a selected race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry

living in households, see table PCT5, line 1.

PCT8. AVERAGE HOUSEHOLD SIZE [1]

(2 expressed decimals)

Universe: Households

Average household size

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

PCT9. HOUSEHOLD TYPE (INCLUDING LIVING ALONE) BY RELATIONSHIP [27]

Universe: Total population

Total:

In households:

In family households:

Householder:

Male

Female

Spouse

Child:

Natural-born

Adopted

Step

Grandchild

Brother or sister

Parent

Other relatives

Nonrelatives

Summary Table Outlines 6–3

U.S. Census Bureau, Census 2000
PCT9. HOUSEHOLD TYPE (INCLUDING LIVING ALONE) BY RELATIONSHIP [27]—Con.

Total—Con.

In households—Con.

In nonfamily households:

Male householder:

Living alone

Not living alone

Female householder:

Living alone

Not living alone

Nonrelatives

In group quarters:

Institutionalized population

Noninstitutionalized population

PCT10. HOUSEHOLD SIZE BY HOUSEHOLD TYPE BY PRESENCE OF OWN CHILDREN

UNDER 18 YEARS [19]

Universe: Households

Total:

1-person household:

Male householder

Female householder

2-or-more-person household:

Family households:

Married-couple family:

With own children under 18 years

No own children under 18 years

Other family:

Male householder, no wife present:

With own children under 18 years

No own children under 18 years

Female householder, no husband present:

With own children under 18 years

No own children under 18 years

Nonfamily households:

Male householder

Female householder

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

PCT11. HOUSEHOLDS BY PRESENCE OF PEOPLE UNDER 18 YEARS BY HOUSEHOLD TYPE

[19]

Universe: Households

Total:

Households with one or more people under 18 years:

Family households:

Married-couple family

Other family:

Male householder, no wife present

Female householder, no husband present

Nonfamily households:

Male householder

Female householder

6–4 Summary Table Outlines

U.S. Census Bureau, Census 2000
PCT11. HOUSEHOLDS BY PRESENCE OF PEOPLE UNDER 18 YEARS BY HOUSEHOLD TYPE

[19]—Con.

Total—Con.

Households with no people under 18 years:

(Repeat HOUSEHOLD TYPE)

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

PCT12. RELATIONSHIP BY HOUSEHOLD TYPE FOR THE POPULATION UNDER 18 YEARS

[16]

Universe: Population under 18 years

Total:

In households:

Householder or spouse

Related child:

Own child:

In married-couple family

In other family:

Male householder, no wife present

Female householder, no husband present

Other relatives:

Grandchild

Other relatives

Nonrelatives

In group quarters:

Institutionalized population

Noninstitutionalized population

PCT13. RELATIONSHIP BY AGE FOR THE POPULATION UNDER 18 YEARS [45]

Universe: Population under 18 years

Total:

In households:

Householder or spouse

Related child:

Own child:

Under 3 years

3 and 4 years

5 years

6 to 11 years

12 and 13 years

14 years

15 to 17 years

Other relatives:

Under 3 years

3 and 4 years

5 years

6 to 11 years

12 and 13 years

14 years

15 to 17 years

Summary Table Outlines 6–5

U.S. Census Bureau, Census 2000
PCT13. RELATIONSHIP BY AGE FOR THE POPULATION UNDER 18 YEARS [45]—Con.

Total—Con.

In households—Con.

Nonrelatives:

Under 3 years

3 and 4 years

5 years

6 to 11 years

12 and 13 years

14 years

15 to 17 years

In group quarters:

Institutionalized population:

Under 3 years

3 and 4 years

5 years

6 to 11 years

12 and 13 years

14 years

15 to 17 years

Noninstitutionalized population:

Under 3 years

3 and 4 years

5 years

6 to 11 years

12 and 13 years

14 years

15 to 17 years

PCT14. HOUSEHOLD TYPE (INCLUDING LIVING ALONE) BY RELATIONSHIP FOR THE

POPULATION 65 YEARS AND OVER [21]

Universe: Population 65 years and over

Total:

In households:

In family households:

Householder:

Male

Female

Spouse

Parent

Other relatives

Nonrelatives

In nonfamily households:

Male householder:

Living alone

Not living alone

Female householder:

Living alone

Not living alone

Nonrelatives

In group quarters:

Institutionalized population

Noninstitutionalized population

6–6 Summary Table Outlines

U.S. Census Bureau, Census 2000
PCT15. HOUSEHOLDS BY AGE OF HOUSEHOLDER BY HOUSEHOLD TYPE (INCLUDING

LIVING ALONE) BY PRESENCE OF OWN CHILDREN UNDER 18 YEARS [31]

Universe: Households

Total:

Householder 15 to 64 years:

Family households:

Married-couple family:

With own children under 18 years

No own children under 18 years

Other family:

Male householder, no wife present:

With own children under 18 years

No own children under 18 years

Female householder, no husband present:

With own children under 18 years

No own children under 18 years

Nonfamily households:

Householder living alone

Householder not living alone

Householder 65 years and over:

(Repeat HOUSEHOLD TYPE BY PRESENCE OF OWN CHILDREN UNDER 18 YEARS)

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

PCT16. HOUSEHOLD TYPE BY AGE OF HOUSEHOLDER [19]

Universe: Households

Total:

Family households:

Householder 15 to 24 years

Householder 25 to 34 years

Householder 35 to 44 years

Householder 45 to 54 years

Householder 55 to 64 years

Householder 65 to 74 years

Householder 75 to 84 years

Householder 85 years and over

Nonfamily households:

(Repeat AGE OF HOUSEHOLDER)

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

Summary Table Outlines 6–7

U.S. Census Bureau, Census 2000
PCT17. HOUSEHOLD TYPE BY HOUSEHOLD SIZE [16]

Universe: Households

Total:

Family households:

2-person household

3-person household

4-person household

5-person household

6-person household

7-or-more-person household

Nonfamily households:

1-person household

2-person household

3-person household

4-person household

5-person household

6-person household

7-or-more-person household

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

PCT18. HOUSEHOLDS BY PRESENCE OF PEOPLE 60 YEARS AND OVER BY

HOUSEHOLD SIZE BY HOUSEHOLD TYPE [11]

Universe: Households

Total:

Households with one or more people 60 years and over:

1-person household

2-or-more-person household:

Family households

Nonfamily households

Households with no people 60 years and over:

(Repeat HOUSEHOLD SIZE BY HOUSEHOLD TYPE)

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

PCT19. HOUSEHOLDS BY PRESENCE OF PEOPLE 65 YEARS AND OVER BY

HOUSEHOLD SIZE BY HOUSEHOLD TYPE [11]

Universe: Households

Total:

Households with one or more people 65 years and over:

1-person household

2-or-more-person household:

Family households

Nonfamily households

Households with no people 65 years and over:

(Repeat HOUSEHOLD SIZE BY HOUSEHOLD TYPE)

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

6–8 Summary Table Outlines

U.S. Census Bureau, Census 2000
PCT20. HOUSEHOLDS BY PRESENCE OF PEOPLE 75 YEARS AND OVER BY HOUSEHOLD

SIZE BY HOUSEHOLD TYPE [11]

Universe: Households

Total:

Households with one or more people 75 years and over:

1-person household

2-or-more-person household:

Family households

Nonfamily households

Households with no people 75 years and over:

(Repeat HOUSEHOLD SIZE BY HOUSEHOLD TYPE)

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

PCT21. UNMARRIED-PARTNER HOUSEHOLDS BY SEX OF PARTNERS [7]

Universe: Households

Total:

Unmarried-partner households:

Male householder and male partner

Male householder and female partner

Female householder and female partner

Female householder and male partner

All other households

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

PCT22. HOUSEHOLDS BY PRESENCE OF NONRELATIVES [3]

Universe: Households

Total:

Households with one or more nonrelatives

Households with no nonrelatives

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

PCT23. NONRELATIVES BY HOUSEHOLD TYPE [13]

Universe: Nonrelatives

Total:

In family households:

Roomer or boarder

Housemate or roommate

Unmarried partner

Foster child

Other nonrelatives

In nonfamily households:

(Repeat NONRELATIVES)

Summary Table Outlines 6–9

U.S. Census Bureau, Census 2000
PCT24. FAMILIES [1]

Universe: Families

Total

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

PCT25. AGGREGATE POPULATION IN FAMILIES [1]

Universe: Families

Total

Note: When a category other than Total Population is selected, the data in this table refer to the

total number of people living in families based on the race, Hispanic or Latino origin, American

Indian or Alaska Native tribe, or ancestry of the householder.

PCT26. AVERAGE FAMILY SIZE [1]

(2 expressed decimals)

Universe: Families

Average family size

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

PCT27. FAMILY TYPE BY PRESENCE OF OWN CHILDREN UNDER 18 YEARS BY AGE OF

OWN CHILDREN [20]

Universe: Families

Total:

Married-couple family:

With own children under 18 years:

Under 6 years only

Under 6 years and 6 to 17 years

6 to 17 years only

No own children under 18 years

Other family:

Male householder, no wife present:

With own children under 18 years:

Under 6 years only

Under 6 years and 6 to 17 years

6 to 17 years only

No own children under 18 years

Female householder, no husband present:

With own children under 18 years:

Under 6 years only

Under 6 years and 6 to 17 years

6 to 17 years only

No own children under 18 years

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

6–10 Summary Table Outlines

U.S. Census Bureau, Census 2000
PCT28. OWN CHILDREN UNDER 18 YEARS BY FAMILY TYPE BY AGE [26]

Universe: Own children under 18 years

Total:

In married-couple families:

Under 3 years

3 and 4 years

5 years

6 to 11 years

12 and 13 years

14 years

15 to 17 years

In other families:

Male householder, no wife present:

(Repeat AGE)

Female householder, no husband present:

(Repeat AGE)

PCT29. FAMILY TYPE BY PRESENCE OF RELATED CHILDREN UNDER 18 YEARS BY AGE

OF RELATED CHILDREN [20]

Universe: Families

Total:

Married-couple family:

With related children under 18 years:

Under 6 years only

Under 6 years and 6 to 17 years

6 to 17 years only

No related children under 18 years

Other family:

Male householder, no wife present:

With related children under 18 years:

Under 6 years only

Under 6 years and 6 to 17 years

6 to 17 years only

No related children under 18 years

Female householder, no husband present:

With related children under 18 years:

Under 6 years only

Under 6 years and 6 to 17 years

6 to 17 years only

No related children under 18 years

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

Summary Table Outlines 6–11

U.S. Census Bureau, Census 2000
PCT30. FAMILY TYPE BY AGE OF HOUSEHOLDER [29]

Universe: Families

Total:

Married-couple family:

Householder 15 to 24 years

Householder 25 to 34 years

Householder 35 to 44 years

Householder 45 to 54 years

Householder 55 to 59 years

Householder 60 to 64 years

Householder 65 to 74 years

Householder 75 years and over

Other family:

Male householder, no wife present:

(Repeat AGE OF HOUSEHOLDER)

Female householder, no husband present:

(Repeat AGE OF HOUSEHOLDER)

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

PCT31. NONFAMILY HOUSEHOLDS BY SEX OF HOUSEHOLDER BY LIVING ALONE BY AGE

OF HOUSEHOLDER [15]

Universe: Nonfamily households

Total:

Male householder:

Living alone:

Householder 15 to 64 years

Householder 65 years and over

Not living alone:

(Repeat AGE OF HOUSEHOLDER)

Female householder:

(Repeat LIVING ALONE BY AGE OF HOUSEHOLDER)

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

PCT32. SUBFAMILY TYPE BY PRESENCE OF OWN CHILDREN UNDER 18 YEARS [6]

Universe: Subfamilies

Total:

Married-couple subfamily:

With own children under 18 years

No own children under 18 years

Mother-child subfamily

Father-child subfamily

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the reference

person for the subfamily.

6–12 Summary Table Outlines

U.S. Census Bureau, Census 2000
PCT33. POPULATION IN SUBFAMILIES BY SUBFAMILY TYPE BY RELATIONSHIP [11]

Universe: Population in subfamilies

Total:

In married-couple subfamilies:

Husband/wife in a subfamily with no children present

Husband/wife in a subfamily with children present

Child

In mother-child subfamilies:

Parent

Child

In father-child subfamilies:

Parent

Child

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the person.

PCT34. HOUSEHOLDS BY NUMBER OF SUBFAMILIES [6]

Universe: Households

Total:

No subfamilies

1 subfamily

2 subfamilies

3 subfamilies

4 or more subfamilies

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

Marital Status

PCT35. SEX BY MARITAL STATUS BY AGE FOR THE POPULATION 15 YEARS AND OVER

[163]

Universe: Population 15 years and over

Total:

Male:

Never married:

15 to 17 years

18 and 19 years

20 to 24 years

25 to 29 years

30 to 34 years

35 to 44 years

45 to 54 years

55 to 59 years

60 to 64 years

65 to 74 years

75 to 84 years

85 years and over

Summary Table Outlines 6–13

U.S. Census Bureau, Census 2000
PCT35. SEX BY MARITAL STATUS BY AGE FOR THE POPULATION 15 YEARS AND OVER

[163]—Con.

Total—Con.

Male—Con.

Now married:

Married, spouse present:

(Repeat AGE)

Married, spouse absent:

Separated:

(Repeat AGE)

Other:

(Repeat AGE)

Widowed:

(Repeat AGE)

Divorced:

(Repeat AGE)

Female:

(Repeat MARITAL STATUS by AGE)

PCT36. GRANDPARENTS LIVING WITH OWN GRANDCHILDREN UNDER 18 YEARS BY

RESPONSIBILITY FOR OWN GRANDCHILDREN BY LENGTH OF TIME RESPONSIBLE FOR

GRANDCHILDREN FOR THE POPULATION 30 YEARS AND OVER IN HOUSEHOLDS [10]

Universe: Population 30 years and over in households

Total:

Living with own grandchildren under 18 years:

Grandparent responsible for own grandchildren under 18 years:

Length of time—

Less than 6 months

6 to 11 months

1 or 2 years

3 or 4 years

5 years or more

Grandparent not responsible for own grandchildren under 18 years

Not living with own grandchildren under 18 years

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the person.

PCT37. HOUSEHOLD RELATIONSHIP BY GRANDPARENTS LIVING WITH OWN

GRANDCHILDREN UNDER 18 YEARS BY RESPONSIBILITY FOR OWN GRANDCHILDREN

FOR THE POPULATION 30 YEARS AND OVER IN HOUSEHOLDS [16]

Universe: Population 30 years and over in households

Total:

Householder or spouse:

Living with own grandchildren under 18 years:

Grandparent responsible for own grandchildren under 18 years

Grandparent not responsible for own grandchildren under 18 years

Not living with own grandchildren under 18 years

Parent or parent-in-law of householder:

Living with own grandchildren under 18 years:

Grandparent responsible for own grandchildren under 18 years

Grandparent not responsible for own grandchildren under 18 years

Not living with own grandchildren under 18 years

6–14 Summary Table Outlines

U.S. Census Bureau, Census 2000
PCT37. HOUSEHOLD RELATIONSHIP BY GRANDPARENTS LIVING WITH OWN

GRANDCHILDREN UNDER 18 YEARS BY RESPONSIBILITY FOR OWN GRANDCHILDREN

FOR THE POPULATION 30 YEARS AND OVER IN HOUSEHOLDS [16]—Con.

Total—Con.

Other relatives or nonrelatives of householder:

Living with own grandchildren under 18 years:

Grandparent responsible for own grandchildren under 18 years

Grandparent not responsible for own grandchildren under 18 years

Not living with own grandchildren under 18 years

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the person.

Language and Ability to Speak English

PCT38. AGE BY LANGUAGE SPOKEN AT HOME BY ABILITY TO SPEAK ENGLISH FOR THE

POPULATION 5 YEARS AND OVER [67]

Universe: Population 5 years and over

Total:

5 to 17 years:

Speak only English

Speak Spanish:

Speak English ‘‘very well’’

Speak English ‘‘well’’

Speak English ‘‘not well’’

Speak English ‘‘not at all’’

Speak other Indo-European languages:

Speak English ‘‘very well’’

Speak English ‘‘well’’

Speak English ‘‘not well’’

Speak English ‘‘not at all’’

Speak Asian and Pacific Island languages:

Speak English ‘‘very well’’

Speak English ‘‘well’’

Speak English ‘‘not well’’

Speak English ‘‘not at all’’

Speak other languages:

Speak English ‘‘very well’’

Speak English ‘‘well’’

Speak English ‘‘not well’’

Speak English ‘‘not at all’’

18 to 64 years:

(Repeat LANGUAGE SPOKEN AT HOME BY ABILITY TO SPEAK ENGLISH)

65 years and over:

(Repeat LANGUAGE SPOKEN AT HOME BY ABILITY TO SPEAK ENGLISH)

Summary Table Outlines 6–15

U.S. Census Bureau, Census 2000
PCT39. NATIVITY BY LANGUAGE SPOKEN AT HOME BY ABILITY TO SPEAK ENGLISH

FOR THE POPULATION 5 YEARS AND OVER [45]

Universe: Population 5 years and over

Total:

Native:

Speak only English

Speak Spanish:

Speak English ‘‘very well’’

Speak English ‘‘well’’

Speak English ‘‘not well’’

Speak English ‘‘not at all’’

Speak other Indo-European languages:

Speak English ‘‘very well’’

Speak English ‘‘well’’

Speak English ‘‘not well’’

Speak English ‘‘not at all’’

Speak Asian and Pacific Island languages:

Speak English ‘‘very well’’

Speak English ‘‘well’’

Speak English ‘‘not well’’

Speak English ‘‘not at all’’

Speak other languages:

Speak English ‘‘very well’’

Speak English ‘‘well’’

Speak English ‘‘not well’’

Speak English ‘‘not at all’’

Foreign born:

(Repeat LANGUAGE SPOKEN AT HOME BY ABILITY TO SPEAK ENGLISH)

PCT40. AGE BY LANGUAGE SPOKEN AT HOME FOR THE POPULATION 5 YEARS AND

OVER IN LINGUISTICALLY ISOLATED HOUSEHOLDS [17]

Universe: Population 5 years and over in linguistically isolated households

Total:

5 to 17 years:

Speak only English

Speak Spanish

Speak other Indo-European languages

Speak Asian and Pacific Island languages

Speak other languages

18 to 64 years:

Speak Spanish

Speak other Indo-European languages

Speak Asian and Pacific Island languages

Speak other languages

65 years and over:

Speak Spanish

Speak other Indo-European languages

Speak Asian and Pacific Island languages

Speak other languages

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the person.

6–16 Summary Table Outlines

U.S. Census Bureau, Census 2000
PCT41. LANGUAGE DENSITY BY LINGUISTIC ISOLATION BY AGE FOR THE POPULATION

5 YEARS AND OVER IN HOUSEHOLDS [28]

Universe: Population 5 years and over in households

Total:

In households where all members speak English only:

5 to 17 years

18 to 44 years

45 to 64 years

65 years and over

In households where some members speak a non-English language:

Not linguistically isolated:

5 to 17 years

18 to 44 years

45 to 64 years

65 years and over

Linguistically isolated:

5 to 17 years

18 to 44 years

45 to 64 years

65 years and over

In households where all members speak a non-English language:

Not linguistically isolated:

5 to 17 years

18 to 44 years

45 to 64 years

65 years and over

Linguistically isolated:

5 to 17 years

18 to 44 years

45 to 64 years

65 years and over

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the person.

PCT42. HOUSEHOLD LANGUAGE BY LINGUISTIC ISOLATION [14]

Universe: Households

Total:

English

Spanish:

Linguistically isolated

Not linguistically isolated

Other Indo-European languages:

Linguistically isolated

Not linguistically isolated

Asian and Pacific Island languages:

Linguistically isolated

Not linguistically isolated

Other languages:

Linguistically isolated

Not linguistically isolated

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

Summary Table Outlines 6–17

U.S. Census Bureau, Census 2000
Place of Birth, Citizenship Status, and Year of Entry

PCT43. SEX BY PLACE OF BIRTH BY CITIZENSHIP STATUS [31]

Universe: Total population

Total:

Male:

Native:

Born in state of residence in the United States

Born in other state in the United States:

Northeast

Midwest

South

West

Born outside the United States:

Puerto Rico

U.S. Island Areas

Born abroad of American parent(s)

Foreign born:

Naturalized citizen

Not a citizen

Female:

(Repeat PLACE OF BIRTH BY CITIZENSHIP STATUS)

PCT44. SEX BY AGE BY CITIZENSHIP STATUS [23]

Universe: Total population

Total:

Male:

Under 18 years:

Native

Foreign born:

Naturalized citizen

Not a citizen

18 years and over:

(Repeat CITIZENSHIP STATUS)

Female:

(Repeat AGE BY CITIZENSHIP STATUS)

PCT45. SEX BY YEAR OF ENTRY FOR THE FOREIGN-BORN POPULATION [19]

Universe: Foreign-born population

Total:

Male:

1995 to March 2000

1990 to 1994

1985 to 1989

1980 to 1984

1975 to 1979

1970 to 1974

1965 to 1969

Before 1965

Female:

(Repeat YEAR OF ENTRY)

6–18 Summary Table Outlines

U.S. Census Bureau, Census 2000
PCT46. SEX BY YEAR OF ENTRY BY CITIZENSHIP STATUS FOR THE FOREIGN-BORN

POPULATION [21]

Universe: Foreign-born population

Total:

Male:

Year of entry 1990 to March 2000:

Naturalized citizen

Not a citizen

Year of entry 1980 to 1989:

Naturalized citizen

Not a citizen

Year of entry before 1980:

Naturalized citizen

Not a citizen

Female:

(Repeat YEAR OF ENTRY BY CITIZENSHIP STATUS)

PCT47. SEX BY PLACE OF BIRTH BY YEAR OF ENTRY FOR THE FOREIGN-BORN

POPULATION [89]

Universe: Foreign-born population

Total:

Male:

Europe (100-157, 160, 162-167):

Year of entry 1990 to March 2000

Year of entry 1980 to 1989

Year of entry before 1980

Asia (158, 159, 161, 200-249):

(Repeat YEAR OF ENTRY)

Africa (400-462):

(Repeat YEAR OF ENTRY)

Oceania (501, 502, 505-528):

(Repeat YEAR OF ENTRY)

Americas (300-305, 310-317, 320-343, 360-374):

Latin America (303, 310-317, 320-343, 360-374):

Caribbean (320-343):

(Repeat YEAR OF ENTRY)

Central America (303, 310-317):

Mexico (303):

(Repeat YEAR OF ENTRY)

Other Central America (310-317):

(Repeat YEAR OF ENTRY)

South America (360-374):

(Repeat YEAR OF ENTRY)

Northern America (300-302, 304, 305):

(Repeat YEAR OF ENTRY)

Born at sea (554):

(Repeat YEAR OF ENTRY)

Female:

(Repeat YEAR OF ENTRY BY PLACE OF BIRTH)

Summary Table Outlines 6–19

U.S. Census Bureau, Census 2000
PCT48. PLACE OF BIRTH BY YEAR OF ENTRY BY CITIZENSHIP STATUS FOR THE

FOREIGN-BORN POPULATION [104]

Universe: Foreign-born population

Total:

Europe (100-157, 160, 162-167):

Year of entry 1990 to March 2000:

Naturalized citizen

Not a citizen

Year of entry 1980 to 1989:

Naturalized citizen

Not a citizen

Year of entry before 1980:

Naturalized citizen

Not a citizen

Asia (158, 159, 161, 200-249):

(Repeat YEAR OF ENTRY BY CITIZENSHIP STATUS)

Africa (400-462):

(Repeat YEAR OF ENTRY BY CITIZENSHIP STATUS)

Oceania (501, 502, 505-528):

(Repeat YEAR OF ENTRY BY CITIZENSHIP STATUS)

Americas (300-305, 310-317, 320-343, 360-374):

Latin America (303, 310-317, 320-343, 360-374):

Caribbean (320-343):

(Repeat YEAR OF ENTRY BY CITIZENSHIP STATUS)

Central America (303, 310-317):

Mexico (303):

(Repeat YEAR OF ENTRY BY CITIZENSHIP STATUS)

Other Central America (310-317):

(Repeat YEAR OF ENTRY BY CITIZENSHIP STATUS)

South America (360-374):

(Repeat YEAR OF ENTRY BY CITIZENSHIP STATUS)

Northern America (300-302, 304, 305):

(Repeat YEAR OF ENTRY BY CITIZENSHIP STATUS)

Born at sea (554):

(Repeat YEAR OF ENTRY BY CITIZENSHIP STATUS)

Migration

PCT49. RESIDENCE IN 1995 FOR THE POPULATION 5 YEARS AND OVER—STATE,

COUNTY, AND PLACE LEVEL [26]

Universe: Population 5 years and over

Total:

Same house in 1995

Different house in 1995:

In United States in 1995:

Same city or town:

Same county

Different county (same state)

Not same city or town:

Same county

Different county:

Same state

Different state:

Northeast

Midwest

South

West

6–20 Summary Table Outlines

U.S. Census Bureau, Census 2000
PCT49. RESIDENCE IN 1995 FOR THE POPULATION 5 YEARS AND OVER—STATE,

COUNTY, AND PLACE LEVEL [26]—Con.

Total—Con.

Different house in 1995—Con.

In Puerto Rico in 1995:

Same city or town:

Same municipio

Different municipio

Not same city or town:

Same municipio

Different municipio

Elsewhere in 1995:

U.S. Island Areas

Foreign country or at sea

Note: People living in the U.S. in 2000 who lived in Puerto Rico in 1995 are tallied in cell 17; cells

18-23 are zero for these people. People living in Puerto Rico in 2000 who lived in a different

house in Puerto Rico in 1995 are tallied in cells 17-23. People living in Puerto Rico in 2000 who

lived in the U.S. in 1995 are tallied in cells 4, 8, 10, and 12-16; cells 5-7, 9, and 11 are zero for

these people.

PCT50. RESIDENCE IN 1995 FOR THE POPULATION 5 YEARS AND OVER—MSA/PMSA

LEVEL [43]

Universe: Population 5 years and over

Total:

Living in an MSA/PMSA in 2000:

Same house in 1995:

Central city of this MSA/PMSA

Remainder of this MSA/PMSA

Different house in 1995:

In United States in 1995:

Same MSA/PMSA in 1995:

Moved within same central city

Moved between central cities

Moved from central city to remainder of this MSA/PMSA

Moved from remainder of this MSA/PMSA to central city

Moved within remainder of this MSA/PMSA

Different MSA/PMSA in 1995:

Central city in different MSA/PMSA

Remainder of different MSA/PMSA

Not in an MSA/PMSA in 1995

In Puerto Rico in 1995:

Same MSA/PMSA in 1995:

Moved within same central city

Moved between central cities

Moved from central city to remainder of this MSA/PMSA

Moved from remainder of this MSA/PMSA to central city

Moved within remainder of this MSA/PMSA

Different MSA/PMSA in 1995:

Central city in different MSA/PMSA

Remainder of different MSA/PMSA

Not in an MSA/PMSA in 1995

Elsewhere in 1995

Summary Table Outlines 6–21

U.S. Census Bureau, Census 2000
PCT50. RESIDENCE IN 1995 FOR THE POPULATION 5 YEARS AND OVER—MSA/PMSA

LEVEL [43]—Con.

Total—Con.

Not living in an MSA/PMSA in 2000:

Same house in 1995

Different house in 1995:

In United States in 1995:

In an MSA/PMSA in 1995:

Central city

Remainder of an MSA/PMSA

Not in an MSA/PMSA in 1995

In Puerto Rico in 1995:

In an MSA/PMSA in 1995:

Central city

Remainder of an MSA/PMSA

Not in an MSA/PMSA in 1995

Elsewhere in 1995

Note: People living in the U.S. in 2000 who lived in Puerto Rico in 1995 are tallied in cells 18 and

38; cells 19-28 and 39-42 are zero for these people. People living in Puerto Rico in 2000 who lived

in a different house in Puerto Rico in 1995 are tallied in cells 18-28 and 38-42. People living in

Puerto Rico in 2000 who lived in the U.S. in 1995 are tallied in cells 7, 14-17, and 33-37; cells

8-13 are zero for these people.

Place of Work

PCT51. PLACE OF WORK FOR WORKERS 16 YEARS AND OVER—STATE AND COUNTY

LEVEL [5]

Universe: Workers 16 years and over

Total:

Worked in state of residence:

Worked in county of residence

Worked outside county of residence

Worked outside state of residence

PCT52. PLACE OF WORK FOR WORKERS 16 YEARS AND OVER—PLACE LEVEL [5]

Universe: Workers 16 years and over

Total:

Living in a place:

Worked in place of residence

Worked outside place of residence

Not living in a place

PCT53. PLACE OF WORK FOR WORKERS 16 YEARS AND OVER—MSA/PMSA LEVEL [25]

Universe: Workers 16 years and over

Total:

Living in an MSA/PMSA:

Living in a central city:

Worked in MSA/PMSA of residence:

Central city

Remainder of this MSA/PMSA

Worked outside MSA/PMSA of residence:

Worked in a different MSA/PMSA:

Central city

Remainder of different MSA/PMSA

Worked outside any MSA/PMSA

6–22 Summary Table Outlines

U.S. Census Bureau, Census 2000
PCT53. PLACE OF WORK FOR WORKERS 16 YEARS AND OVER—MSA/PMSA LEVEL

[25]—Con.

Total—Con.

Living in an MSA/PMSA—Con.

Living in remainder of an MSA/PMSA:

Worked in MSA/PMSA of residence:

Central city

Remainder of this MSA/PMSA

Worked outside MSA/PMSA of residence:

Worked in a different MSA/PMSA:

Central city

Remainder of different MSA/PMSA

Worked outside any MSA/PMSA

Not living in an MSA/PMSA:

Worked in an MSA/PMSA:

Central city

Remainder of MSA/PMSA

Worked outside any MSA/PMSA

PCT54. PLACE OF WORK FOR WORKERS 16 YEARS AND OVER—MINOR CIVIL DIVISION

LEVEL FOR 12 SELECTED STATES (CT, ME, MA, MI, MN, NH, NJ, NY, PA, RI, VT, WI) [5]

Universe: Workers 16 years and over

Total:

Living in the 12 selected states:

Worked in minor civil division of residence

Worked outside minor civil division of residence

Not living in the 12 selected states

Journey to Work (Commuting)

PCT55. MEANS OF TRANSPORTATION TO WORK FOR WORKERS 16 YEARS AND OVER

[16]

Universe: Workers 16 years and over

Total:

Car, truck, or van:

Drove alone

Carpooled

Public transportation:

Bus or trolley bus

Streetcar or trolley car (público in Puerto Rico)

Subway or elevated

Railroad

Ferryboat

Taxicab

Motorcycle

Bicycle

Walked

Other means

Worked at home

Summary Table Outlines 6–23

U.S. Census Bureau, Census 2000
PCT56. TRAVEL TIME TO WORK FOR WORKERS 16 YEARS AND OVER [15]

Universe: Workers 16 years and over

Total:

Did not work at home:

Less than 5 minutes

5 to 9 minutes

10 to 14 minutes

15 to 19 minutes

20 to 24 minutes

25 to 29 minutes

30 to 34 minutes

35 to 39 minutes

40 to 44 minutes

45 to 59 minutes

60 to 89 minutes

90 or more minutes

Worked at home

PCT57. TRAVEL TIME TO WORK BY MEANS OF TRANSPORTATION TO WORK FOR

WORKERS 16 YEARS AND OVER WHO DID NOT WORK AT HOME [13]

Universe: Workers 16 years and over who did not work at home

Total:

Less than 30 minutes:

Public transportation

Other means

30 to 44 minutes:

(Repeat MEANS OF TRANSPORTATION TO WORK)

45 to 59 minutes:

(Repeat MEANS OF TRANSPORTATION TO WORK)

60 or more minutes:

(Repeat MEANS OF TRANSPORTATION TO WORK)

PCT58. AGGREGATE TRAVEL TIME TO WORK (IN MINUTES) BY TRAVEL TIME TO WORK

BY MEANS OF TRANSPORTATION TO WORK FOR WORKERS 16 YEARS AND OVER WHO

DID NOT WORK AT HOME [13]

Universe: Workers 16 years and over who did not work at home

Aggregate travel time to work (in minutes):

Less than 30 minutes:

Public transportation

Other means

30 to 44 minutes:

(Repeat MEANS OF TRANSPORTATION TO WORK)

45 to 59 minutes:

(Repeat MEANS OF TRANSPORTATION TO WORK)

60 or more minutes:

(Repeat MEANS OF TRANSPORTATION TO WORK)

6–24 Summary Table Outlines

U.S. Census Bureau, Census 2000
PCT59. TIME LEAVING HOME TO GO TO WORK FOR WORKERS 16 YEARS AND OVER

[17]

Universe: Workers 16 years and over

Total:

Did not work at home:

12:00 a.m. to 4:59 a.m.

5:00 a.m. to 5:29 a.m.

5:30 a.m. to 5:59 a.m.

6:00 a.m. to 6:29 a.m.

6:30 a.m. to 6:59 a.m.

7:00 a.m. to 7:29 a.m.

7:30 a.m. to 7:59 a.m.

8:00 a.m. to 8:29 a.m.

8:30 a.m. to 8:59 a.m.

9:00 a.m. to 9:59 a.m.

10:00 a.m. to 10:59 a.m.

11:00 a.m. to 11:59 a.m.

12:00 p.m. to 3:59 p.m.

4:00 p.m. to 11:59 p.m.

Worked at home

PCT60. PRIVATE VEHICLE OCCUPANCY FOR WORKERS 16 YEARS AND OVER [10]

Universe: Workers 16 years and over

Total:

Car, truck, or van:

Drove alone

Carpooled:

In 2-person carpool

In 3-person carpool

In 4-person carpool

In 5- or 6-person carpool

In 7-or-more-person carpool

Other means (including those who worked at home)

School Enrollment and Educational Attainment

PCT61. SEX BY SCHOOL ENROLLMENT BY LEVEL OF SCHOOL BY TYPE OF SCHOOL FOR

THE POPULATION 3 YEARS AND OVER [47]

Universe: Population 3 years and over

Total:

Male:

Enrolled in nursery school, preschool:

Public school

Private school

Enrolled in kindergarten:

Public school

Private school

Enrolled in grade 1 to grade 4:

Public school

Private school

Enrolled in grade 5 to grade 8:

Public school

Private school

Summary Table Outlines 6–25

U.S. Census Bureau, Census 2000
PCT61. SEX BY SCHOOL ENROLLMENT BY LEVEL OF SCHOOL BY TYPE OF SCHOOL FOR

THE POPULATION 3 YEARS AND OVER [47]—Con.

Total—Con.

Male—Con.

Enrolled in grade 9 to grade 12:

Public school

Private school

Enrolled in college, undergraduate years:

Public school

Private school

Enrolled in graduate or professional school:

Public school

Private school

Not enrolled in school

Female:

(Repeat SCHOOL ENROLLMENT BY LEVEL OF SCHOOL BY TYPE OF SCHOOL)

PCT62. SEX BY SCHOOL ENROLLMENT BY AGE FOR THE POPULATION 3 YEARS AND

OVER [39]

Universe: Population 3 years and over

Total:

Male:

Enrolled in school:

3 and 4 years

5 to 9 years

10 to 14 years

15 to 17 years

18 and 19 years

20 to 24 years

25 to 34 years

35 years and over

Not enrolled in school:

(Repeat AGE)

Female:

(Repeat SCHOOL ENROLLMENT BY AGE)

PCT63. SEX BY COLLEGE OR GRADUATE SCHOOL ENROLLMENT BY AGE

FOR THE POPULATION 15 YEARS AND OVER [23]

Universe: Population 15 years and over

Total:

Male:

Enrolled in college or graduate school:

15 to 17 years

18 to 24 years

25 to 34 years

35 years and over

Not enrolled in college or graduate school:

(Repeat AGE)

Female:

(Repeat COLLEGE OR GRADUATE SCHOOL ENROLLMENT BY AGE)

6–26 Summary Table Outlines

U.S. Census Bureau, Census 2000
PCT64. SEX BY EDUCATIONAL ATTAINMENT FOR THE POPULATION 25 YEARS AND

OVER [35]

Universe: Population 25 years and over

Total:

Male:

No schooling completed

Nursery to 4th grade

5th and 6th grade

7th and 8th grade

9th grade

10th grade

11th grade

12th grade, no diploma

High school graduate (includes equivalency)

Some college, less than 1 year

Some college, 1 or more years, no degree

Associate degree

Bachelor’s degree

Master’s degree

Professional school degree

Doctorate degree

Female:

(Repeat EDUCATIONAL ATTAINMENT)

PCT65. SEX BY AGE BY EDUCATIONAL ATTAINMENT FOR THE POPULATION 18 YEARS

AND OVER [83]

Universe: Population 18 years and over

Total:

Male:

18 to 24 years:

Less than 9th grade

9th to 12th grade, no diploma

High school graduate (includes equivalency)

Some college, no degree

Associate degree

Bachelor’s degree

Graduate or professional degree

25 to 34 years:

(Repeat EDUCATIONAL ATTAINMENT)

35 to 44 years:

(Repeat EDUCATIONAL ATTAINMENT)

45 to 64 years:

(Repeat EDUCATIONAL ATTAINMENT)

65 years and over:

(Repeat EDUCATIONAL ATTAINMENT)

Female:

(Repeat AGE BY EDUCATIONAL ATTAINMENT)

Summary Table Outlines 6–27

U.S. Census Bureau, Census 2000
PCT66. SEX BY ARMED FORCES STATUS BY SCHOOL ENROLLMENT BY EDUCATIONAL

ATTAINMENT BY EMPLOYMENT STATUS FOR THE POPULATION 16 TO 19 YEARS [45]

Universe: Population 16 to 19 years

Total:

Male:

In Armed Forces:

Enrolled in school:

High school graduate

Not high school graduate

Not enrolled in school:

High school graduate

Not high school graduate

Civilian:

Enrolled in school:

Employed

Unemployed

Not in labor force

Not enrolled in school:

High school graduate:

Employed

Unemployed

Not in labor force

Not high school graduate:

Employed

Unemployed

Not in labor force

Female:

(Repeat ARMED FORCES STATUS BY SCHOOL ENROLLMENT BY EDUCATIONAL ATTAINMENT BY

EMPLOYMENT STATUS)

Veteran Status

PCT67. SEX BY AGE BY ARMED FORCES STATUS BY VETERAN STATUS FOR THE

POPULATION 18 YEARS AND OVER [23]

Universe: Population 18 years and over

Total:

Male:

18 to 64 years:

In Armed Forces

Civilian:

Veteran

Nonveteran

65 years and over:

(Repeat ARMED FORCES STATUS BY VETERAN STATUS)

Female:

(Repeat AGE BY ARMED FORCES STATUS BY VETERAN STATUS)

6–28 Summary Table Outlines

U.S. Census Bureau, Census 2000
PCT68. PERIOD OF MILITARY SERVICE FOR CIVILIAN VETERANS 18 YEARS AND OVER

[21]

Universe: Civilian veterans 18 years and over

Total:

August 1990 or later (including Persian Gulf War):

Served in Vietnam era

No Vietnam era service:

Served September 1980 or later only:

Served under 2 years

Served 2 or more years

Served prior to September 1980

May 1975 to July 1990 only:

September 1980 to July 1990 only:

Served under 2 years

Served 2 or more years

Other May 1975 to July 1990 service

Vietnam era, no Korean War, no World War II, no August 1990 or later

Vietnam era and Korean War, no World War II, no August 1990 or later

Vietnam era, Korean War, and World War II, no August 1990 or later

February 1955 to July 1964 only

Korean War, no Vietnam era, no World War II

Korean War and World War II, no Vietnam era

World War II, no Korean War, no Vietnam era

Other service only

Disability

PCT69. SEX BY AGE BY TYPES OF DISABILITY FOR THE CIVILIAN

NONINSTITUTIONALIZED POPULATION 5 YEARS AND OVER [101]

Universe: Civilian noninstitutionalized population 5 years and over

Total:

Male:

5 to 15 years:

With one type of disability:

Sensory disability

Physical disability

Mental disability

Self-care disability

With two or more types of disability:

Includes self-care disability

Does not include self-care disability

No disability

16 to 20 years:

With one type of disability:

Sensory disability

Physical disability

Mental disability

Self-care disability

Go-outside-home disability

Employment disability

With two or more types of disability:

Includes self-care disability

Does not include self-care disability:

Go-outside home and employment only

Other combination

No disability

Summary Table Outlines 6–29

U.S. Census Bureau, Census 2000
PCT69. SEX BY AGE BY TYPES OF DISABILITY FOR THE CIVILIAN

NONINSTITUTIONALIZED POPULATION 5 YEARS AND OVER [101]—Con.

Total—Con.

Male—Con.

21 to 64 years:

With one type of disability:

Sensory disability

Physical disability

Mental disability

Self-care disability

Go-outside-home disability

Employment disability

With two or more types of disability:

Includes self-care disability

Does not include self-care disability:

Go-outside home and employment only

Other combination

No disability

65 years and over:

With one type of disability:

Sensory disability

Physical disability

Mental disability

Self-care disability

Go-outside-home disability

With two or more types of disability:

Includes self-care disability

Does not include self-care disability

No disability

Female:

(Repeat AGE BY TYPES OF DISABILITY)

PCT70. SEX BY AGE BY DISABILITY STATUS BY EMPLOYMENT STATUS FOR THE

CIVILIAN NONINSTITUTIONALIZED POPULATION 5 YEARS AND OVER [49]

Universe: Civilian noninstitutionalized population 5 years and over

Total:

Male:

5 to 15 years:

With a disability

No disability

16 to 20 years:

With a disability:

Employed

Not employed

No disability:

Employed

Not employed

21 to 64 years:

With a disability:

Employed

Not employed

No disability:

Employed

Not employed

6–30 Summary Table Outlines

U.S. Census Bureau, Census 2000
PCT70. SEX BY AGE BY DISABILITY STATUS BY EMPLOYMENT STATUS FOR THE

CIVILIAN NONINSTITUTIONALIZED POPULATION 5 YEARS AND OVER [49]—Con.

Total—Con.

Male—Con.

65 to 74 years:

With a disability

No disability

75 years and over:

With a disability

No disability

Female:

(Repeat AGE BY DISABILITY STATUS BY EMPLOYMENT STATUS)

PCT71. SEX BY AGE BY SENSORY DISABILITY BY EMPLOYMENT STATUS FOR THE

CIVILIAN NONINSTITUTIONALIZED POPULATION 5 YEARS AND OVER [49]

Universe: Civilian noninstitutionalized population 5 years and over

Total:

Male:

5 to 15 years:

With a sensory disability

No sensory disability

16 to 20 years:

With a sensory disability:

Employed

Not employed

No sensory disability:

Employed

Not employed

21 to 64 years:

With a sensory disability:

Employed

Not employed

No sensory disability:

Employed

Not employed

65 to 74 years:

With a sensory disability

No sensory disability

75 years and over:

With a sensory disability

No sensory disability

Female:

(Repeat AGE BY SENSORY DISABILITY BY EMPLOYMENT STATUS)

Summary Table Outlines 6–31

U.S. Census Bureau, Census 2000
PCT72. SEX BY AGE BY PHYSICAL DISABILITY BY EMPLOYMENT STATUS FOR THE

CIVILIAN NONINSTITUTIONALIZED POPULATION 5 YEARS AND OVER [49]

Universe: Civilian noninstitutionalized population 5 years and over

Total:

Male:

5 to 15 years:

With a physical disability

No physical disability

16 to 20 years:

With a physical disability:

Employed

Not employed

No physical disability:

Employed

Not employed

21 to 64 years:

With a physical disability:

Employed

Not employed

No physical disability:

Employed

Not employed

65 to 74 years:

With a physical disability

No physical disability

75 years and over:

With a physical disability

No physical disability

Female:

(Repeat AGE BY PHYSICAL DISABILITY BY EMPLOYMENT STATUS)

PCT73. SEX BY AGE BY MENTAL DISABILITY BY EMPLOYMENT STATUS FOR THE

CIVILIAN NONINSTITUTIONALIZED POPULATION 5 YEARS AND OVER [49]

Universe: Civilian noninstitutionalized population 5 years and over

Total:

Male:

5 to 15 years:

With a mental disability

No mental disability

16 to 20 years:

With a mental disability:

Employed

Not employed

No mental disability:

Employed

Not employed

21 to 64 years:

With a mental disability:

Employed

Not employed

No mental disability:

Employed

Not employed

6–32 Summary Table Outlines

U.S. Census Bureau, Census 2000
PCT73. SEX BY AGE BY MENTAL DISABILITY BY EMPLOYMENT STATUS FOR THE

CIVILIAN NONINSTITUTIONALIZED POPULATION 5 YEARS AND OVER [49]—Con.

Total—Con.

Male—Con.

65 to 74 years:

With a mental disability

No mental disability

75 years and over:

With a mental disability

No mental disability

Female:

(Repeat AGE BY MENTAL DISABILITY BY EMPLOYMENT STATUS)

PCT74. SEX BY AGE BY SELF-CARE DISABILITY BY EMPLOYMENT STATUS FOR THE

CIVILIAN NONINSTITUTIONALIZED POPULATION 5 YEARS AND OVER [49]

Universe: Civilian noninstitutionalized population 5 years and over

Total:

Male:

5 to 15 years:

With a self-care disability

No self-care disability

16 to 20 years:

With a self-care disability:

Employed

Not employed

No self-care disability:

Employed

Not employed

21 to 64 years:

With a self-care disability:

Employed

Not employed

No self-care disability:

Employed

Not employed

65 to 74 years:

With a self-care disability

No self-care disability

75 years and over:

With a self-care disability

No self-care disability

Female:

(Repeat AGE BY SELF-CARE DISABILITY BY EMPLOYMENT STATUS)

Summary Table Outlines 6–33

U.S. Census Bureau, Census 2000
PCT75. SEX BY AGE BY GO-OUTSIDE-HOME DISABILITY BY EMPLOYMENT STATUS FOR

THE CIVILIAN NONINSTITUTIONALIZED POPULATION 16 YEARS AND OVER [43]

Universe: Civilian noninstitutionalized population 16 years and over

Total:

Male:

16 to 20 years:

With a go-outside-home disability:

Employed

Not employed

No go-outside-home disability:

Employed

Not employed

21 to 64 years:

With a go-outside-home disability:

Employed

Not employed

No go-outside-home disability:

Employed

Not employed

65 to 74 years:

With a go-outside-home disability

No go-outside-home disability

75 years and over:

With a go-outside-home disability

No go-outside-home disability

Female:

(Repeat AGE BY GO-OUTSIDE-HOME DISABILITY BY EMPLOYMENT STATUS)

PCT76. SEX BY AGE BY EMPLOYMENT DISABILITY BY EMPLOYMENT STATUS FOR THE

CIVILIAN NONINSTITUTIONALIZED POPULATION 16 TO 64 YEARS [31]

Universe: Civilian noninstitutionalized population 16 to 64 years

Total:

Male:

16 to 20 years:

With an employment disability:

Employed

Not employed

No employment disability:

Employed

Not employed

21 to 64 years:

With an employment disability:

Employed

Not employed

No employment disability:

Employed

Not employed

Female:

(Repeat AGE BY EMPLOYMENT DISABILITY BY EMPLOYMENT STATUS)

6–34 Summary Table Outlines

U.S. Census Bureau, Census 2000
PCT77. SEX BY DISABILITY STATUS BY SCHOOL ENROLLMENT BY EDUCATIONAL

ATTAINMENT FOR THE CIVILIAN NONINSTITUTIONALIZED POPULATION 18 TO 34

YEARS [47]

Universe: Civilian noninstitutionalized population 18 to 34 years

Total:

Male:

With a disability:

Enrolled in school:

Below college

College or graduate school

Not enrolled in school:

Not high school graduate

High school graduate (includes equivalency)

Some college, no degree

Associate degree

Bachelor’s degree

Graduate or professional degree

No disability:

(Repeat SCHOOL ENROLLMENT BY EDUCATIONAL ATTAINMENT)

Female:

(Repeat DISABILITY STATUS BY SCHOOL ENROLLMENT BY

EDUCATIONAL ATTAINMENT)

PCT78. SEX BY AGE BY DISABILITY STATUS BY POVERTY STATUS FOR THE CIVILIAN

NONINSTITUTIONALIZED POPULATION 5 YEARS AND OVER [59]

Universe: Civilian noninstitutionalized population 5 years and over for whom poverty status is

determined

Total:

Male:

5 to 15 years:

With a disability:

Income in 1999 below poverty level

Income in 1999 at or above poverty level

No disability:

(Repeat POVERTY STATUS)

16 to 20 years:

(Repeat DISABILITY STATUS BY POVERTY STATUS)

21 to 64 years:

(Repeat DISABILITY STATUS BY POVERTY STATUS)

65 years and over:

(Repeat DISABILITY STATUS BY POVERTY STATUS)

Female:

(Repeat AGE BY DISABILITY STATUS BY POVERTY STATUS)

Summary Table Outlines 6–35

U.S. Census Bureau, Census 2000
Employment Status

PCT79. SEX BY AGE BY EMPLOYMENT STATUS FOR THE POPULATION 16 YEARS AND

OVER [185]

Universe: Population 16 years and over

Total:

Male:

16 to 19 years:

In labor force:

In Armed Forces

Civilian:

Employed

Unemployed

Not in labor force

20 to 21 years:

(Repeat EMPLOYMENT STATUS)

22 to 24 years:

(Repeat EMPLOYMENT STATUS)

25 to 29 years:

(Repeat EMPLOYMENT STATUS)

30 to 34 years:

(Repeat EMPLOYMENT STATUS)

35 to 44 years:

(Repeat EMPLOYMENT STATUS)

45 to 54 years:

(Repeat EMPLOYMENT STATUS)

55 to 59 years:

(Repeat EMPLOYMENT STATUS)

60 to 61 years:

(Repeat EMPLOYMENT STATUS)

62 to 64 years:

(Repeat EMPLOYMENT STATUS)

65 to 69 years:

(Repeat EMPLOYMENT STATUS)

70 to 74 years:

(Repeat EMPLOYMENT STATUS)

75 years and over:

(Repeat EMPLOYMENT STATUS)

Female:

(Repeat AGE BY EMPLOYMENT STATUS)

PCT80. PRESENCE OF OWN CHILDREN UNDER 18 YEARS BY AGE OF OWN CHILDREN BY

EMPLOYMENT STATUS FOR FEMALES 16 YEARS AND OVER [22]

Universe: Females 16 years and over

Total:

With own children under 18 years:

Under 6 years only:

In labor force:

Employed or in Armed Forces

Unemployed

Not in labor force

Under 6 years and 6 to 17 years:

In labor force:

Employed or in Armed Forces

Unemployed

Not in labor force

6–36 Summary Table Outlines

U.S. Census Bureau, Census 2000
PCT80. PRESENCE OF OWN CHILDREN UNDER 18 YEARS BY AGE OF OWN CHILDREN BY

EMPLOYMENT STATUS FOR FEMALES 16 YEARS AND OVER [22]—Con.

Total—Con.

With own children under 18 years:

6 to 17 years only:

In labor force:

Employed or in Armed Forces

Unemployed

Not in labor force

No own children under 18 years:

In labor force:

Employed or in Armed Forces

Unemployed

Not in labor force

PCT81. AGE OF OWN CHILDREN UNDER 18 YEARS IN FAMILIES AND SUBFAMILIES BY

LIVING ARRANGEMENTS BY EMPLOYMENT STATUS OF PARENTS [27]

Universe: Own children under 18 years in families and subfamilies

Total:

Under 6 years:

Living with two parents:

Both parents in labor force

Father only in labor force

Mother only in labor force

Neither parent in labor force

Living with one parent:

Living with father:

In labor force

Not in labor force

Living with mother:

In labor force

Not in labor force

6 to 17 years:

(Repeat LIVING ARRANGEMENTS BY EMPLOYMENT STATUS OF PARENTS)

PCT82. SEX BY WORK STATUS IN 1999 BY USUAL HOURS WORKED PER WEEK IN 1999

BY WEEKS WORKED IN 1999 FOR THE POPULATION 16 YEARS AND OVER [49]

Universe: Population 16 years and over

Total:

Male:

Worked in 1999:

Usually worked 35 or more hours per week:

50 to 52 weeks

48 and 49 weeks

40 to 47 weeks

27 to 39 weeks

14 to 26 weeks

1 to 13 weeks

Summary Table Outlines 6–37

U.S. Census Bureau, Census 2000
PCT82. SEX BY WORK STATUS IN 1999 BY USUAL HOURS WORKED PER WEEK IN 1999

BY WEEKS WORKED IN 1999 FOR THE POPULATION 16 YEARS AND OVER [49]—Con.

Total—Con.

Male—Con.

Worked in 1999—Con.

Usually worked 15 to 34 hours per week:

50 to 52 weeks

48 and 49 weeks

40 to 47 weeks

27 to 39 weeks

14 to 26 weeks

1 to 13 weeks

Usually worked 1 to 14 hours per week:

50 to 52 weeks

48 and 49 weeks

40 to 47 weeks

27 to 39 weeks

14 to 26 weeks

1 to 13 weeks

Did not work in 1999

Female:

(Repeat WORK STATUS IN 1999 BY USUAL HOURS WORKED PER WEEK IN 1999 BY WEEKS

WORKED IN 1999)

PCT83. FAMILY TYPE BY EMPLOYMENT STATUS [29]

Universe: Families

Total:

Married-couple family:

Husband in labor force:

Employed or in Armed Forces:

Wife in labor force:

Employed or in Armed Forces

Unemployed

Wife not in labor force

Unemployed:

Wife in labor force:

Employed or in Armed Forces

Unemployed

Wife not in labor force

Husband not in labor force:

Wife in labor force:

Employed or in Armed Forces

Unemployed

Wife not in labor force

Other family:

Male householder, no wife present:

In labor force:

Employed or in Armed Forces

Unemployed

Not in labor force

Female householder, no husband present:

In labor force:

Employed or in Armed Forces

Unemployed

Not in labor force

6–38 Summary Table Outlines

U.S. Census Bureau, Census 2000
Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

PCT84. FAMILY TYPE BY NUMBER OF WORKERS IN FAMILY IN 1999 [21]

Universe: Families

Total:

Married-couple family:

No workers

1 worker

2 workers:

Husband and wife worked

Other

3 or more workers:

Husband and wife worked

Other

Other family:

Male householder, no wife present:

No workers

1 worker

2 workers

3 or more workers

Female householder, no husband present:

No workers

1 worker

2 workers

3 or more workers

Note: The data in this table refer to the race, Hispanic or Latino origin, American Indian or Alaska

Native tribe, or ancestry of the householder.

Industry, Occupation, and Class of Worker

PCT85. SEX BY INDUSTRY FOR THE EMPLOYED CIVILIAN POPULATION 16 YEARS AND

OVER [207]

Universe: Employed civilian population 16 years and over

Total:

Male:

Census Code

NAICS

Equivalents

Agriculture, forestry, fishing and hunting, and mining: 001-056 11, 21

Agriculture, forestry, fishing and hunting 001-036 11

Mining 037-056 21

Construction 077-106 23

Manufacturing: 107-406 31-33

Food 107-136 311

Beverage and tobacco products 137-146 312

Textile mills and textile products 147-166 3131-31323,

3133-314

Apparel 167-176 31324, 315

Leather and allied products 177-186 316

Wood products 377-388 321

Paper 187-198 322

Printing and related support activities 199-206 323

Petroleum and coal products 207-216 324

Chemical 217-236 325

Plastics and rubber products 237-246 326

Nonmetallic mineral products 247-266 327

Summary Table Outlines 6–39

U.S. Census Bureau, Census 2000
PCT85. SEX BY INDUSTRY FOR THE EMPLOYED CIVILIAN POPULATION 16 YEARS AND

OVER [207]—Con.

Total—Con.

Male—Con.

Census Code

NAICS

Equivalents

Manufacturing—Con.

Metal 267-306 331-332

Machinery 307-335 333

Computer and electronic products 336-346 334

Electrical equipment, appliances, and components 347-356 335

Transportation equipment 357-376 336

Furniture and related products 389-395 337

Miscellaneous manufacturing 396-406 339

Wholesale trade: 407-466 42

Motor vehicles, parts and supplies 407 4211

Furniture and home furnishings 408 4212

Lumber and construction materials 409-416 4213

Professional and commercial equipment and supplies 417 4214

Metals and minerals, except petroleum 418 4215

Electrical goods 419-425 4216

Hardware, plumbing and heating equipment, and

supplies 426 4217

Machinery, equipment, and supplies 427 4218

Recyclable materials 428 42193

Miscellaneous durable goods 429-436 42191-42192,

42194-42199

Paper and paper products 437 4221

Drugs, druggist sundries, chemicals and allied products 438 4222, 4226

Apparel, piece goods and notions 439-446 4223

Groceries and related products 447 4224

Farm product raw materials 448 4225

Petroleum and petroleum products 449-455 4227

Alcoholic beverages 456 4228

Farm supplies 457 42291

Miscellaneous nondurable goods 458-466 42292-42299

Retail trade: 467-606 44-45

Motor vehicle and parts dealers 467-476 441

Furniture and home furnishings and household

appliances 477-478 442, 443111

Radio, TV and computer stores 479-486 443112, 44312

Building materials, hardware, and lawn and garden

equipment stores 487-496 444

Food and beverage stores 497-506 445

Pharmacies and drug stores 507 44611

Other health and personal care stores 508 44612-44619

Gasoline stations 509-516 447

Clothing and apparel including shoes 517, 518 4481-4482

Jewelry, luggage and leather goods 519-526 4483

Sporting goods, cameras, and hobby and toy stores 527 44313,

45111-45112

Sewing, needlework, and piece goods 528 45113

Music stores 529-536 45114, 45122

Book stores and news dealers 537 45121

Department and other general stores 538-546 45211, 4529

6–40 Summary Table Outlines

U.S. Census Bureau, Census 2000
PCT85. SEX BY INDUSTRY FOR THE EMPLOYED CIVILIAN POPULATION 16 YEARS AND

OVER [207]—Con.

Total—Con.

Male—Con.

Census Code

NAICS

Equivalents

Retail Trade—Con.

Florists 547 4531

Office supplies and stationery 548 45321

Used merchandise, gift, novelty, souvenir, and

miscellaneous stores 549-558 45322,

4533-4539

Electronic shopping and mail order houses 559-566 4541

Vending machine operators 567 4542

Fuel dealers 568 45431

Other direct selling establishments 569-606 45439

Transportation and warehousing, and utilities: 607-646,

057-076

48-49, 22

Transportation and warehousing: 607-646 48-49

Air transportation 607 481

Rail transportation 608 482

Water transportation 609-616 483

Truck transportation 617 484

U.S. Postal Service 637 491

Other transportation 618-636, 638 485-488, 492

Warehousing and storage 639-646 493

Utilities 057-076 22

Information: 647-686 51

Publishing, and motion picture and sound recording

industries 647-666 511-512

Broadcasting and telecommunications 667-676 513

Information services and data processing services 677-686 514

Finance, insurance, real estate and rental and leasing: 687-726 52, 53

Finance and insurance 687-706 52

Real estate and rental and leasing 707-726 53

Professional, scientific, management, administrative, and

waste management services: 727-785 54-56

Professional, scientific, and technical services 727-756 54

Management of companies and enterprises 757 55

Administrative and support and waste management

services 758-785 56

Educational, health, and social services: 786-855 61, 62

Educational services 786-796 61

Health care and social assistance: 797-855 62

Health care 797-836 621-623

Social assistance 837-855 624

Arts, entertainment, recreation, accommodation and food

services: 856-876 71, 72

Arts, entertainment, and recreation 856-865 71

Accommodation and food services 866-876 72

Summary Table Outlines 6–41

U.S. Census Bureau, Census 2000
PCT85. SEX BY INDUSTRY FOR THE EMPLOYED CIVILIAN POPULATION 16 YEARS AND

OVER [207]—Con.

Total—Con.

Male—Con.

Census Code

NAICS

Equivalents

Other services (except public administration): 877-936 81

Repair and maintenance 877-896 811

Personal and laundry services 897-915 812

Religious, grantmaking, civic, professional, and similar

organizations 916-928 813

Private households 929-936 814

Public administration 937-966 92

Female:

(Repeat INDUSTRY)

PCT86. SEX BY OCCUPATION FOR THE EMPLOYED CIVILIAN POPULATION 16 YEARS

AND OVER [253]

Universe: Employed civilian population 16 years and over

Total:

Male:

Census Code SOC Equivalents

Management, professional, and related

occupations: 001-359 11-0000 through 29-0000

Management, business, and financial

operations occupations: 01-099 11-0000 through 13-0000

Management occupations: 001-049 11-0000

Top executives 001-003 11-1000

Advertising, marketing,

promotions, public relations, and

sales managers 004-009 11-2000

Financial managers 012 11-3030

Operations specialties managers,

except financial managers 010, 011,

013-019

11-3010, 11-3020, 11-3040

through 11-3070

Farmers and farm managers 020, 021 11-9010

Other management

occupations, except farmers

and farm managers 022-049 11-9020 through 11-9190

Business and financial

operations occupations: 050-099 13-0000

Business operations

specialists 050-079 13-1000

Financial specialists: 080-099 13-2000

Accountants and auditors 080 13-2010

Other financial specialists 081-099 13-2020 through 13-2090

6–42 Summary Table Outlines

U.S. Census Bureau, Census 2000
PCT86. SEX BY OCCUPATION FOR THE EMPLOYED CIVILIAN POPULATION 16 YEARS

AND OVER [253]—Con.

Total—Con.

Male—Con.

Census Code SOC Equivalents

Professional and related

occupations: 100-359 15-0000 through 29-0000

Computer and mathematical

occupations: 100-129 15-0000

Computer specialists 100-119 15-1000

Mathematical science

occupations 120-129 15-2000

Architecture and engineering

occupations: 130-159 17-0000

Architects, surveyors, and

cartographers 130, 131 17-1000

Engineers 132-153 17-2000

Drafters, engineering, and

mapping technicians 154-159 17-3000

Life, physical, and social science

occupations: 160-199 19-0000

Life and physical scientists 160-179 19-1000 and 19-2000

Social scientists and related

workers 180-189 19-3000

Life, physical, and social science

technicians 190-199 19-4000

Community and social services

occupations: 200-209 21-0000

Counselors, social workers, and

other community and social

service specialists 200-203 21-1000

Religious workers 204-209 21-2000

Legal occupations: 210-219 23-0000

Lawyers 210 23-1010

Judges, magistrates, and other

judicial workers 211-213 23-1020

Legal support workers 214-219 23-2000

Education, training, and library

occupations: 220-259 25-0000

Postsecondary teachers 220-229 25-1000

Teachers, primary, secondary,

and special education: 230-233 25-2000

Teachers, preschool,

kindergarten, elementary,

and middle school 230, 231 25-2010 through 25-2020

Teachers, secondary school 232 25-2030

Teachers, special education 233 25-2040

Librarians, curators, and archivists 240-253 25-4000

Other teachers, instructors,

education, training, and library

occupations 234-239,

254-259

25-3000 and 25-9000

Summary Table Outlines 6–43

U.S. Census Bureau, Census 2000
PCT86. SEX BY OCCUPATION FOR THE EMPLOYED CIVILIAN POPULATION 16 YEARS

AND OVER [253]—Con.

Total—Con.

Male—Con.

Census Code

SOC Equivalents

Professional and related

occupations—Con.

Arts, design, entertainment,

sports, and media occupations: 260-299 27-0000

Art and design workers 260-269 27-1000

Entertainers and performers,

sports, and related workers 270-279 27-2000

Media and communications

workers 280-299 27-3000 and 27-4000

Healthcare practitioners and

technical occupations: 300-359 29-0000

Health diagnosing and treating

practitioners and technical

occupations: 300-329,

354-359

29-1000 and 29-9000

Physicians and surgeons 306-310 29-1060

Registered nurses 313 29-1110

Therapists 314-324 29-1120

Other health diagnosing and

treating practitioners and

technical occupations 300-305, 311,

312, 325-329,

354-359

29-1010 through 29-1050,

29-1070, 29-1080, 29-1130

through 29-1190, 29-9000

Health technologists and

technicians 330-353 29-2000

Service occupations: 360-469 31-0000 through 39-0000

Healthcare support occupations: 360-369 31-0000

Nursing, psychiatric, and home

health aides 360 31-1000

Occupational and physical

therapist assistants and aides 361, 362 31-2000

Other healthcare support

occupations 363-369 31-9000

Protective service occupations: 370-399 33-0000

Fire fighting and prevention

workers, including supervisors 372, 374-379 33-1020 and 33-2000

Law enforcement workers,

including supervisors 370, 371,

380-389

33-1010 and 33-3000

Other protective service

workers, including supervisors 373, 390-399 33-1090 and 33-9000

6–44 Summary Table Outlines

U.S. Census Bureau, Census 2000
PCT86. SEX BY OCCUPATION FOR THE EMPLOYED CIVILIAN POPULATION 16 YEARS

AND OVER [253]—Con.

Total—Con.

Male—Con.

Census Code SOC Equivalents

Service occupations—Con.

Food preparation and serving

related occupations: 400-419 35-0000

Cooks and food preparation

workers 402-403 35-2000

Waiters and waitresses 411 35-3030

Food and beverage serving

workers, except waiters and

waitresses 404-410, 412 35-3000

Other food preparation and

serving workers, including

supervisors 400, 401, 35-1000 and 35-9000

413-419

Building and grounds cleaning and

maintenance occupations 420-429 37-0000

Personal care and service

occupations: 430-469 39-0000

Personal appearance workers 450-452 39-5000

Transportation, tourism, and

lodging attendants 453-459 39-6000

Child care workers 460 39-9010

Supervisors and other personal

care and service workers,

except child care workers 430-449,

461-469

39-1000 through 39-4000,

39-9020 through 39-9090

Sales and office occupations: 470-599 41-0000 through 43-0000

Sales and related occupations: 470-499 41-0000

Cashiers 472, 473 41-2010

Retail sales workers, except

cashiers 474-479 41-2020 and 41-2030

Sales representatives, services,

wholesale and manufacturing 480-489 41-3000 and 41-4000

Other sales and related

occupations, including

supervisors 470, 471,

490-499

41-1000 and 41-9000

Office and administrative support

occupations: 500-599 43-0000

Communications equipment

operators 501-509 43-2000

Financial clerks, except

bookkeeping, accounting and

auditing clerks 510-511,

513-519

43-3010, 43-3020,

43-3040 through 43-3070

Bookkeeping, accounting, and

auditing clerks 512 43-3030

Summary Table Outlines 6–45

U.S. Census Bureau, Census 2000
PCT86. SEX BY OCCUPATION FOR THE EMPLOYED CIVILIAN POPULATION 16 YEARS

AND OVER [253]—Con.

Total—Con.

Male—Con.

Census Code SOC Equivalents

Office and administrative support

occupations—Con.

Information and record clerks,

except customer service

representatives 520-523,

525-549

43-4010 through 43-4040,

43-4060 through 43-4190

Customer service representatives 524 43-4050

Material recording, scheduling,

dispatching, and distibuting

workers 550-569 43-5000

Secretaries and administrative

assistants 570-579 43-6000

Other office and administrative

support workers, including

supervisors 500, 580-599 43-1000 and 43-9000

Farming, fishing, and forestry

occupations: 600-619 45-0000

Agricultural workers, including

supervisors 600-609 45-1000 and 45-2000

Fishing, hunting, and forestry

occupations 610-619 45-3000 and 45-4000

Construction, extraction, and

maintenance occupations: 620-769 47-0000 through 49-0000

Construction and extraction

occupations: 620-699 47-0000

Supervisors, construction and

extraction workers 620 47-1000

Carpenters 623 47-2030

Construction laborers 626-629 47-2060

Electricians 635 47-2110

Painters and paperhangers 642, 643 47-2140

Pipelayers, plumbers, pipefitters,

and steamfitters 644-645 47-2150

Construction trades workers

except carpenters, electicians,

painters, plumbers, and

construction laborers 621-622, 624,

625, 630-634,

636-641,

646-659

47-2010, 47-2020, 47-2040,

47-2050, 47-2070, 47-2080,

47-2120, 47-2130, 47-2160

through 47-2220

Other construction workers and

helpers 660-679 47-3000 and 47-4000

Extraction workers 680-699 47-5000

6–46 Summary Table Outlines

U.S. Census Bureau, Census 2000
PCT86. SEX BY OCCUPATION FOR THE EMPLOYED CIVILIAN POPULATION 16 YEARS

AND OVER [253]—Con.

Total—Con.

Male—Con.

Census Code SOC Equivalents

Construction, extraction, and

maintenance occupations—Con.

Installation, maintenance, and

repair occupations: 700-769 49-0000

Vehicle and mobile equipment

mechanics, installers, and

repairers 714-729 49-3000

Electrical equipment mechanics

and other installation,

maintenance, and repair workers,

including supervisors 700-713,

730-769

49-1000,

49-2000 and 49-9000

Production, transportation, and

material moving occupations: 770-979 51-0000 through 53-0000

Production occupations: 770-899 51-0000

Assemblers and fabricators 771-779 51-2000

Food processing workers 780-789 51-3000

Metal workers and plastic workers 790-822 51-4000

Printing workers 823-829 51-5000

Textile, apparel, and furnishings

workers 830-849 51-6000

Woodworkers 850-859 51-7000

Plant and system operators 860-863 51-8000

Other production occupations,

including supervisors 770, 864-899 51-1000 and 51-9000

Transportation and material moving

occupations: 900-979 53-0000

Supervisors, transportation, and

material moving workers 900-902 53-1000

Aircraft and traffic control

occupations 903-910 53-2000

Rail and water transportation

workers 920-933 53-4000 and 53-5000

Bus drivers 912 53-3020

Driver/sales workers and truck

drivers 913 53-3030

Motor vehicle operators, except

bus and truck drivers 911, 914-919 53-3010,

53-3040 through 53-3090

Other transportation occupations 934-949 53-6000

Material moving workers: 950-979 53-7000

Laborers and material movers,

hand 961-964 53-7060

Other material moving workers,

except laborers 950-960,

965-979

53-7010 through 53-7050,

53-7070 through 53-7190

Female:

(Repeat OCCUPATION)

Summary Table Outlines 6–47

U.S. Census Bureau, Census 2000
PCT87. SEX BY INDUSTRY BY CLASS OF WORKER FOR THE

EMPLOYED CIVILIAN POPULATION 16 YEARS AND OVER [65]

Universe: Employed civilian population 16 years and over

Total:

Male:

Census Code NAICS Equivalents

All industries except agriculture, forestry,

fishing and hunting, and mining: 057-966 22-92

Private for-profit wage and salary

workers:

Employee of private company

Self-employed in own incorporated

business

Private not-for-profit wage and salary

workers

Local government workers

State government workers

Federal government workers

Self-employed workers in own not

incorporated business

Unpaid family workers

Agriculture, forestry, fishing and hunting,

and mining:

001-056 11, 21

Agriculture, forestry, fishing and

hunting:

001-036 11

(Repeat CLASS OF WORKER)

Mining: 037-056 21

(Repeat CLASS OF WORKER)

Female:

(Repeat INDUSTRY BY CLASS OF WORKER)

PCT88. HOUSEHOLD INCOME IN 1999 [17]

Universe: Households

Total:

Less than $10,000

$10,000 to $14,999

$15,000 to $19,999

$20,000 to $24,999

$25,000 to $29,999

$30,000 to $34,999

$35,000 to $39,999

$40,000 to $44,999

$45,000 to $49,999

$50,000 to $59,999

$60,000 to $74,999

$75,000 to $99,999

$100,000 to $124,999

$125,000 to $149,999

$150,000 to $199,999

$200,000 or more

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

6–48 Summary Table Outlines

U.S. Census Bureau, Census 2000
PCT89. MEDIAN HOUSEHOLD INCOME IN 1999 (DOLLARS) [1]

Universe: Households

Median household income in 1999

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

PCT90. AGGREGATE HOUSEHOLD INCOME IN 1999 (DOLLARS) [3]

Universe: Households

Aggregate household income in 1999:

Less than $200,000

$200,000 or more

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

PCT91. AGE OF HOUSEHOLDER BY HOUSEHOLD INCOME IN 1999 [120]

Universe: Households

Total:

Householder under 25 years:

Less than $10,000

$10,000 to $14,999

$15,000 to $19,999

$20,000 to $24,999

$25,000 to $29,999

$30,000 to $34,999

$35,000 to $39,999

$40,000 to $44,999

$45,000 to $49,999

$50,000 to $59,999

$60,000 to $74,999

$75,000 to $99,999

$100,000 to $124,999

$125,000 to $149,999

$150,000 to $199,999

$200,000 or more

Householder 25 to 34 years:

(Repeat HOUSEHOLD INCOME IN 1999)

Householder 35 to 44 years:

(Repeat HOUSEHOLD INCOME IN 1999)

Householder 45 to 54 years:

(Repeat HOUSEHOLD INCOME IN 1999)

Householder 55 to 64 years:

(Repeat HOUSEHOLD INCOME IN 1999)

Householder 65 to 74 years:

(Repeat HOUSEHOLD INCOME IN 1999)

Householder 75 years and over:

(Repeat HOUSEHOLD INCOME IN 1999)

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

Summary Table Outlines 6–49

U.S. Census Bureau, Census 2000
PCT92. MEDIAN HOUSEHOLD INCOME IN 1999 (DOLLARS) BY AGE OF HOUSEHOLDER

[8]

Universe: Households

Median household income in 1999—

Total

Householder under 25 years

Householder 25 to 34 years

Householder 35 to 44 years

Householder 45 to 54 years

Householder 55 to 64 years

Householder 65 to 74 years

Householder 75 years and over

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

PCT93. AGGREGATE HOUSEHOLD INCOME IN 1999 (DOLLARS) BY AGE OF

HOUSEHOLDER [8]

Universe: Households

Aggregate household income in 1999:

Householder under 25 years

Householder 25 to 34 years

Householder 35 to 44 years

Householder 45 to 54 years

Householder 55 to 64 years

Householder 65 to 74 years

Householder 75 years and over

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

PCT94. EARNINGS IN 1999 FOR HOUSEHOLDS [3]

Universe: Households

Total:

With earnings

No earnings

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

PCT95. WAGE OR SALARY INCOME IN 1999 FOR HOUSEHOLDS [3]

Universe: Households

Total:

With wage or salary income

No wage or salary income

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

6–50 Summary Table Outlines

U.S. Census Bureau, Census 2000
PCT96. SELF-EMPLOYMENT INCOME IN 1999 FOR HOUSEHOLDS [3]

Universe: Households

Total:

With self-employment income

No self-employment income

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

PCT97. INTEREST, DIVIDENDS, OR NET RENTAL INCOME IN 1999 FOR HOUSEHOLDS [3]

Universe: Households

Total:

With interest, dividends, or net rental income

No interest, dividends, or net rental income

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

PCT98. SOCIAL SECURITY INCOME IN 1999 FOR HOUSEHOLDS [3]

Universe: Households

Total:

With Social Security income

No Social Security income

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

PCT99. SUPPLEMENTAL SECURITY INCOME (SSI) IN 1999 FOR HOUSEHOLDS [3]

Universe: Households

Total:

With Supplemental Security Income (SSI)

No Supplemental Security Income (SSI)

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

PCT100. PUBLIC ASSISTANCE INCOME IN 1999 FOR HOUSEHOLDS [3]

Universe: Households

Total:

With public assistance income

No public assistance income

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

Summary Table Outlines 6–51

U.S. Census Bureau, Census 2000
PCT101. RETIREMENT INCOME IN 1999 FOR HOUSEHOLDS [3]

Universe: Households

Total:

With retirement income

No retirement income

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

PCT102. OTHER TYPES OF INCOME IN 1999 FOR HOUSEHOLDS [3]

Universe: Households

Total:

With other types of income

No other types of income

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

PCT103. AGGREGATE EARNINGS IN 1999 (DOLLARS) FOR HOUSEHOLDS [1]

Universe: Households

Aggregate earnings in 1999

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

PCT104. AGGREGATE WAGE OR SALARY INCOME IN 1999 (DOLLARS) FOR HOUSEHOLDS

[1]

Universe: Households

Aggregate wage or salary income in 1999

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

PCT105. AGGREGATE SELF-EMPLOYMENT INCOME IN 1999 (DOLLARS) FOR

HOUSEHOLDS [1]

Universe: Households

Aggregate self-employment income in 1999

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

PCT106. AGGREGATE INTEREST, DIVIDENDS, OR NET RENTAL INCOME IN 1999

(DOLLARS) FOR HOUSEHOLDS [1]

Universe: Households

Aggregate interest, dividends, or net rental income in 1999

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

6–52 Summary Table Outlines

U.S. Census Bureau, Census 2000
PCT107. AGGREGATE SOCIAL SECURITY INCOME IN 1999 (DOLLARS) FOR

HOUSEHOLDS [1]

Universe: Households

Aggregate Social Security income in 1999

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

PCT108. AGGREGATE SUPPLEMENTAL SECURITY INCOME (SSI) IN 1999 (DOLLARS)

FOR HOUSEHOLDS [1]

Universe: Households

Aggregate Supplemental Security Income (SSI) in 1999

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

PCT109. AGGREGATE PUBLIC ASSISTANCE INCOME IN 1999 (DOLLARS) FOR

HOUSEHOLDS [1]

Universe: Households

Aggregate public assistance income in 1999

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

PCT110. AGGREGATE RETIREMENT INCOME IN 1999 (DOLLARS) FOR HOUSEHOLDS [1]

Universe: Households

Aggregate retirement income in 1999

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

PCT111. AGGREGATE OTHER TYPES OF INCOME IN 1999 (DOLLARS) FOR HOUSEHOLDS

[1]

Universe: Households

Aggregate other types of income in 1999

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

Income (Family)

PCT112. FAMILY INCOME IN 1999 [17]

Universe: Families

Total:

Less than $10,000

$10,000 to $14,999

$15,000 to $19,999

$20,000 to $24,999

$25,000 to $29,999

$30,000 to $34,999

$35,000 to $39,999

$40,000 to $44,999

Summary Table Outlines 6–53

U.S. Census Bureau, Census 2000
PCT112. FAMILY INCOME IN 1999 [17]—Con.

Total—Con.

$45,000 to $49,999

$50,000 to $59,999

$60,000 to $74,999

$75,000 to $99,999

$100,000 to $124,999

$125,000 to $149,999

$150,000 to $199,999

$200,000 or more

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

PCT113. MEDIAN FAMILY INCOME IN 1999 (DOLLARS) [1]

Universe: Families

Median family income in 1999

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

PCT114. AGGREGATE FAMILY INCOME IN 1999 (DOLLARS) [3]

Universe: Families

Aggregate family income in 1999:

Less than $200,000

$200,000 or more

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

PCT115. MEDIAN FAMILY INCOME IN 1999 (DOLLARS) BY

NUMBER OF WORKERS IN FAMILY IN 1999 [5]

Universe: Families

Median family income in 1999—

Total

No workers

1 worker

2 or more workers, husband and wife worked

2 or more workers, other

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

6–54 Summary Table Outlines

U.S. Census Bureau, Census 2000
PCT116. AGGREGATE FAMILY INCOME IN 1999 (DOLLARS) BY NUMBER OF WORKERS IN

FAMILY IN 1999 [5]

Universe: Families

Aggregate family income in 1999:

No workers

1 worker

2 or more workers, husband and wife worked

2 or more workers, other

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

PCT117. FAMILY SIZE BY FAMILY INCOME IN 1999 [103]

Universe: Families

Total:

2-person families:

Less than $10,000

$10,000 to $14,999

$15,000 to $19,999

$20,000 to $24,999

$25,000 to $29,999

$30,000 to $34,999

$35,000 to $39,999

$40,000 to $44,999

$45,000 to $49,999

$50,000 to $59,999

$60,000 to $74,999

$75,000 to $99,999

$100,000 to $124,999

$125,000 to $149,999

$150,000 to $199,999

$200,000 or more

3-person families:

(Repeat FAMILY INCOME IN 1999)

4-person families:

(Repeat FAMILY INCOME IN 1999)

5-person families:

(Repeat FAMILY INCOME IN 1999)

6-person families:

(Repeat FAMILY INCOME IN 1999)

7-or-more-person families:

(Repeat FAMILY INCOME IN 1999)

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

Summary Table Outlines 6–55

U.S. Census Bureau, Census 2000
PCT118. MEDIAN FAMILY INCOME IN 1999 (DOLLARS) BY FAMILY SIZE [7]

Universe: Families

Median family income in 1999—

Total

2-person families

3-person families

4-person families

5-person families

6-person families

7-or-more-person families

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

PCT119. MEDIAN FAMILY INCOME IN 1999 (DOLLARS) BY FAMILY TYPE BY AGE OF

HOUSEHOLDER [29]

Universe: Families

Median family income in 1999—

Total

Married-couple family—

Total

Householder 15 to 24 years

Householder 25 to 34 years

Householder 35 to 44 years

Householder 45 to 54 years

Householder 55 to 59 years

Householder 60 to 64 years

Householder 65 to 74 years

Householder 75 years and over

Other family—

Total

Male householder, no wife present—

Total

Householder 15 to 24 years

Householder 25 to 34 years

Householder 35 to 44 years

Householder 45 to 54 years

Householder 55 to 59 years

Householder 60 to 64 years

Householder 65 to 74 years

Householder 75 years and over

Female householder, no husband present—

Total

Householder 15 to 24 years

Householder 25 to 34 years

Householder 35 to 44 years

Householder 45 to 54 years

Householder 55 to 59 years

Householder 60 to 64 years

Householder 65 to 74 years

Householder 75 years and over

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

6–56 Summary Table Outlines

U.S. Census Bureau, Census 2000
PCT120. AGGREGATE FAMILY INCOME IN 1999 (DOLLARS) BY FAMILY TYPE BY AGE OF

HOUSEHOLDER [29]

Universe: Families

Aggregate family income in 1999:

Married-couple family:

Householder 15 to 24 years

Householder 25 to 34 years

Householder 35 to 44 years

Householder 45 to 54 years

Householder 55 to 59 years

Householder 60 to 64 years

Householder 65 to 74 years

Householder 75 years and over

Other family:

Male householder, no wife present:

(Repeat AGE OF HOUSEHOLDER)

Female householder, no husband present:

(Repeat AGE OF HOUSEHOLDER)

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

PCT121. FAMILY TYPE BY PRESENCE OF OWN CHILDREN UNDER 18 YEARS BY

FAMILY INCOME IN 1999 [107]

Universe: Families

Total:

Married-couple family:

With own children under 18 years:

Less than $10,000

$10,000 to $14,999

$15,000 to $19,999

$20,000 to $24,999

$25,000 to $29,999

$30,000 to $34,999

$35,000 to $39,999

$40,000 to $44,999

$45,000 to $49,999

$50,000 to $59,999

$60,000 to $74,999

$75,000 to $99,999

$100,000 to $124,999

$125,000 to $149,999

$150,000 to $199,999

$200,000 or more

No own children under 18 years:

(Repeat FAMILY INCOME IN 1999)

Summary Table Outlines 6–57

U.S. Census Bureau, Census 2000
PCT121. FAMILY TYPE BY PRESENCE OF OWN CHILDREN UNDER 18 YEARS BY

FAMILY INCOME IN 1999 [107]—Con.

Total—Con.

Other family:

Male householder, no wife present:

With own children under 18 years:

(Repeat FAMILY INCOME IN 1999)

No own children under 18 years:

(Repeat FAMILY INCOME IN 1999)

Female householder, no husband present:

With own children under 18 years:

(Repeat FAMILY INCOME IN 1999)

No own children under 18 years:

(Repeat FAMILY INCOME IN 1999)

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

PCT122. MEDIAN FAMILY INCOME IN 1999 (DOLLARS) BY PRESENCE OF OWN

CHILDREN UNDER 18 YEARS [3]

Universe: Families

Median family income in 1999—

Total

With own children under 18 years

No own children under 18 years

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

PCT123. MEDIAN FAMILY INCOME IN 1999 (DOLLARS) BY FAMILY TYPE BY PRESENCE

OF OWN CHILDREN UNDER 18 YEARS [11]

Universe: Families

Median family income in 1999—

Total

Married-couple family—

Total

With own children under 18 years

No own children under 18 years

Other family—

Total

Male householder, no wife present—

Total

With own children under 18 years

No own children under 18 years

Female householder, no husband present—

Total

With own children under 18 years

No own children under 18 years

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

6–58 Summary Table Outlines

U.S. Census Bureau, Census 2000
PCT124. AGGREGATE FAMILY INCOME IN 1999 (DOLLARS) BY FAMILY TYPE BY

PRESENCE OF OWN CHILDREN UNDER 18 YEARS [11]

Universe: Families

Aggregate family income in 1999:

Married-couple family:

With own children under 18 years

No own children under 18 years

Other family:

Male householder, no wife present:

With own children under 18 years

No own children under 18 years

Female householder, no husband present:

With own children under 18 years

No own children under 18 years

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

Income (Nonfamily)

PCT125. NONFAMILY HOUSEHOLD INCOME IN 1999 [17]

Universe: Nonfamily households

Total:

Less than $10,000

$10,000 to $14,999

$15,000 to $19,999

$20,000 to $24,999

$25,000 to $29,999

$30,000 to $34,999

$35,000 to $39,999

$40,000 to $44,999

$45,000 to $49,999

$50,000 to $59,999

$60,000 to $74,999

$75,000 to $99,999

$100,000 to $124,999

$125,000 to $149,999

$150,000 to $199,999

$200,000 or more

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

PCT126. MEDIAN NONFAMILY HOUSEHOLD INCOME IN 1999 (DOLLARS) [1]

Universe: Nonfamily households

Median nonfamily household income in 1999

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

Summary Table Outlines 6–59

U.S. Census Bureau, Census 2000
PCT127. AGGREGATE NONFAMILY HOUSEHOLD INCOME IN 1999 (DOLLARS) [3]

Universe: Nonfamily households

Aggregate nonfamily household income in 1999:

Less than $200,000

$200,000 or more

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

PCT128. MEDIAN NONFAMILY HOUSEHOLD INCOME IN 1999 (DOLLARS) BY SEX OF

HOUSEHOLDER BY LIVING ALONE BY AGE OF HOUSEHOLDER [15]

Universe: Nonfamily households

Median nonfamily household income in 1999—

Total

Male householder—

Total

Living alone—

Total

Householder 15 to 64 years

Householder 65 years and over

Not living alone—

(Repeat AGE OF HOUSEHOLDER)

Female householder—

(Repeat LIVING ALONE BY AGE OF HOUSEHOLDER)

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

PCT129. AGGREGATE NONFAMILY HOUSEHOLD INCOME IN 1999 (DOLLARS) BY SEX OF

HOUSEHOLDER BY LIVING ALONE BY AGE OF HOUSEHOLDER [15]

Universe: Nonfamily households

Aggregate nonfamily household income in 1999:

Male householder:

Living alone:

Householder 15 to 64 years

Householder 65 years and over

Not living alone:

(Repeat AGE OF HOUSEHOLDER)

Female householder:

(Repeat LIVING ALONE BY AGE OF HOUSEHOLDER)

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

Income and Earnings (Individuals)

PCT130. PER CAPITA INCOME IN 1999 (DOLLARS) [1]

Universe: Total population

Per capita income in 1999

PCT131. AGGREGATE INCOME IN 1999 (DOLLARS) FOR THE POPULATION 15 YEARS

AND OVER [1]

Universe: Population 15 years and over

Aggregate income in 1999

6–60 Summary Table Outlines

U.S. Census Bureau, Census 2000
PCT132. SEX BY WORK EXPERIENCE IN 1999 BY INCOME IN 1999 FOR THE

POPULATION 15 YEARS AND OVER [95]

Universe: Population 15 years and over

Total:

Male:

Worked full-time, year-round in 1999:

No income

With income:

$1 to $2,499 or loss

$2,500 to $4,999

$5,000 to $7,499

$7,500 to $9,999

$10,000 to $12,499

$12,500 to $14,999

$15,000 to $17,499

$17,500 to $19,999

$20,000 to $22,499

$22,500 to $24,999

$25,000 to $29,999

$30,000 to $34,999

$35,000 to $39,999

$40,000 to $44,999

$45,000 to $49,999

$50,000 to $54,999

$55,000 to $64,999

$65,000 to $74,999

$75,000 to $99,999

$100,000 or more

Other:

(Repeat INCOME IN 1999)

Female:

(Repeat WORK EXPERIENCE IN 1999 BY INCOME IN 1999)

PCT133. MEDIAN INCOME IN 1999 (DOLLARS) BY SEX BY WORK EXPERIENCE IN 1999

FOR THE POPULATION 15 YEARS AND OVER WITH INCOME [6]

Universe: Population 15 years and over with income in 1999

Median income in 1999—

Male—

Total

Worked full-time, year-round in 1999

Other

Female—

(Repeat WORK EXPERIENCE IN 1999)

PCT134. AGGREGATE INCOME IN 1999 (DOLLARS) BY SEX BY WORK EXPERIENCE IN

1999 FOR THE POPULATION 15 YEARS AND OVER WITH INCOME [7]

Universe: Population 15 years and over with income in 1999

Total:

Male:

Worked full-time, year-round in 1999

Other

Female:

(Repeat WORK EXPERIENCE IN 1999)

Summary Table Outlines 6–61

U.S. Census Bureau, Census 2000
PCT135. SEX BY EARNINGS IN 1999 FOR THE POPULATION 16 YEARS AND OVER WITH

EARNINGS [43]

Universe: Population 16 years and over with earnings

Total:

Male:

$1 to $2,499 or loss

$2,500 to $4,999

$5,000 to $7,499

$7,500 to $9,999

$10,000 to $12,499

$12,500 to $14,999

$15,000 to $17,499

$17,500 to $19,999

$20,000 to $22,499

$22,500 to $24,999

$25,000 to $29,999

$30,000 to $34,999

$35,000 to $39,999

$40,000 to $44,999

$45,000 to $49,999

$50,000 to $54,999

$55,000 to $64,999

$65,000 to $74,999

$75,000 to $99,999

$100,000 or more

Female:

(Repeat EARNINGS IN 1999)

PCT136. MEDIAN EARNINGS IN 1999 (DOLLARS) BY SEX FOR THE POPULATION

16 YEARS AND OVER WITH EARNINGS [3]

Universe: Population 16 years and over with earnings

Median earnings in 1999—

Total

Male

Female

PCT137. AGGREGATE EARNINGS IN 1999 (DOLLARS) BY SEX FOR THE POPULATION

16 YEARS AND OVER WITH EARNINGS [3]

Universe: Population 16 years and over with earnings

Aggregate earnings in 1999:

Male

Female

6–62 Summary Table Outlines

U.S. Census Bureau, Census 2000
PCT138. SEX BY WORK EXPERIENCE IN 1999 BY EARNINGS IN 1999 FOR THE

POPULATION 16 YEARS AND OVER [95]

Universe: Population 16 years and over

Total:

Male:

Worked full-time, year-round in 1999:

No earnings

With earnings:

$1 to $2,499 or loss

$2,500 to $4,999

$5,000 to $7,499

$7,500 to $9,999

$10,000 to $12,499

$12,500 to $14,999

$15,000 to $17,499

$17,500 to $19,999

$20,000 to $22,499

$22,500 to $24,999

$25,000 to $29,999

$30,000 to $34,999

$35,000 to $39,999

$40,000 to $44,999

$45,000 to $49,999

$50,000 to $54,999

$55,000 to $64,999

$65,000 to $74,999

$75,000 to $99,999

$100,000 or more

Other:

(Repeat EARNINGS IN 1999)

Female:

(Repeat WORK EXPERIENCE IN 1999 BY EARNINGS IN 1999)

PCT139. MEDIAN EARNINGS IN 1999 (DOLLARS) BY WORK EXPERIENCE IN 1999 BY SEX

FOR THE POPULATION 16 YEARS AND OVER WITH EARNINGS IN 1999 [6]

Universe: Population 16 years and over with earnings in 1999

Median earnings in 1999

Worked full-time, year-round in 1999

Total

Male

Female

Other

(Repeat SEX)

PCT140. AGGREGATE EARNINGS IN 1999 (DOLLARS) BY SEX FOR FULL-TIME,

YEAR-ROUND WORKERS 16 YEARS AND OVER WITH EARNINGS IN 1999 [3]

Universe: Full-time, year-round workers 16 years and over with earnings in 1999

Aggregate earnings in 1999:

Male

Female

Summary Table Outlines 6–63

U.S. Census Bureau, Census 2000
Poverty Status (Individuals)

PCT141. RATIO OF INCOME IN 1999 TO POVERTY LEVEL [11]

Universe: Population for whom poverty status is determined

Total:

Under .50

.50 to .74

.75 to .99

1.00 to 1.24

1.25 to 1.29

1.30 to 1.49

1.50 to 1.74

1.75 to 1.84

1.85 to 1.99

2.00 and over

PCT142. POVERTY STATUS IN 1999 BY SEX BY AGE [59]

Universe: Population for whom poverty status is determined

Total:

Income in 1999 below poverty level:

Male:

Under 5 years

5 years

6 to 11 years

12 to 14 years

15 years

16 and 17 years

18 to 24 years

25 to 34 years

35 to 44 years

45 to 54 years

55 to 64 years

65 to 74 years

75 years and over

Female:

(Repeat AGE)

Income in 1999 at or above poverty level:

(Repeat SEX BY AGE)

PCT143. POVERTY STATUS IN 1999 BY AGE BY HOUSEHOLD TYPE [39]

Universe: Population for whom poverty status is determined

Total:

Income in 1999 below poverty level:

Under 65 years:

In married-couple family households

In other family households:

Male householder, no wife present

Female householder, no husband present

In nonfamily households and group quarters

65 to 74 years:

(Repeat HOUSEHOLD TYPE)

75 years and over:

(Repeat HOUSEHOLD TYPE)

Income in 1999 at or above poverty level:

(Repeat AGE BY HOUSEHOLD TYPE)

6–64 Summary Table Outlines

U.S. Census Bureau, Census 2000
PCT144. AGE BY RATIO OF INCOME IN 1999 TO POVERTY LEVEL [144]

Universe: Population for whom poverty status is determined

Total:

Under 5 years:

Under .50

.50 to .74

.75 to .99

1.00 to 1.24

1.25 to 1.29

1.30 to 1.49

1.50 to 1.74

1.75 to 1.84

1.85 to 1.99

2.00 and over

5 years:

(Repeat RATIO OF INCOME IN 1999 TO POVERTY LEVEL)

6 to 11 years:

(Repeat RATIO OF INCOME IN 1999 TO POVERTY LEVEL)

12 to 14 years:

(Repeat RATIO OF INCOME IN 1999 TO POVERTY LEVEL)

15 years:

(Repeat RATIO OF INCOME IN 1999 TO POVERTY LEVEL)

16 and 17 years:

(Repeat RATIO OF INCOME IN 1999 TO POVERTY LEVEL)

18 to 24 years:

(Repeat RATIO OF INCOME IN 1999 TO POVERTY LEVEL)

25 to 34 years:

(Repeat RATIO OF INCOME IN 1999 TO POVERTY LEVEL)

35 to 44 years:

(Repeat RATIO OF INCOME IN 1999 TO POVERTY LEVEL)

45 to 54 years:

(Repeat RATIO OF INCOME IN 1999 TO POVERTY LEVEL)

55 to 64 years:

(Repeat RATIO OF INCOME IN 1999 TO POVERTY LEVEL)

65 to 74 years:

(Repeat RATIO OF INCOME IN 1999 TO POVERTY LEVEL)

75 years and over:

(Repeat RATIO OF INCOME IN 1999 TO POVERTY LEVEL)

PCT145. RATIO OF INCOME IN 1999 TO POVERTY LEVEL BY AGE BY EDUCATIONAL

ATTAINMENT FOR THE POPULATION 18 YEARS AND OVER [111]

Universe: Population 18 years and over for whom poverty status is determined

Total:

Under 1.00:

18 to 24 years:

Less than 9th grade

9th to 12th grade, no diploma

High school graduate (includes equivalency)

Some college, no degree

Associate degree

Bachelor’s degree or higher

Summary Table Outlines 6–65

U.S. Census Bureau, Census 2000
PCT145. RATIO OF INCOME IN 1999 TO POVERTY LEVEL BY AGE BY EDUCATIONAL

ATTAINMENT FOR THE POPULATION 18 YEARS AND OVER [111]—Con.

Total—Con.

Under 1.00—Con.

25 to 64 years:

(Repeat EDUCATIONAL ATTAINMENT)

65 years and over:

(Repeat EDUCATIONAL ATTAINMENT)

1.00 to 1.24:

(Repeat AGE BY EDUCATIONAL ATTAINMENT)

1.25 to 1.84:

(Repeat AGE BY EDUCATIONAL ATTAINMENT)

1.85 to 1.99:

(Repeat AGE BY EDUCATIONAL ATTAINMENT)

2.00 and over:

(Repeat AGE BY EDUCATIONAL ATTAINMENT)

PCT146. RATIO OF INCOME IN 1999 TO POVERTY LEVEL BY TYPE OF PUBLIC

ASSISTANCE INCOME IN 1999 [16]

Universe: Population for whom poverty status is determined

Total:

Under 1.00:

Supplemental Security Income only

Other public assistance income only

Both Supplemental Security Income and other public assistance income

No public assistance income

1.00 to 1.84:

(Repeat TYPE OF PUBLIC ASSISTANCE INCOME IN 1999)

1.85 and over:

(Repeat TYPE OF PUBLIC ASSISTANCE INCOME IN 1999)

PCT147. POVERTY STATUS IN 1999 BY PLACE OF BIRTH BY CITIZENSHIP STATUS [21]

Universe: Population for whom poverty status is determined

Total:

Income in 1999 below poverty level:

Native:

Born in the United States

Born outside the United States:

Born in Puerto Rico

Born in U.S. Island Areas

Born abroad of American parent(s)

Foreign born:

Naturalized citizen

Not a citizen

Income in 1999 at or above poverty level:

(Repeat PLACE OF BIRTH BY CITIZENSHIP STATUS)

6–66 Summary Table Outlines

U.S. Census Bureau, Census 2000
PCT148. POVERTY STATUS IN 1999 BY DISABILITY STATUS BY AGE FOR THE

POPULATION 5 YEARS AND OVER [43]

Universe: Civilian noninstitutionalized population 5 years and over for whom poverty status is

determined

Total:

Income in 1999 below poverty level:

With a disability:

5 to 15 years

16 to 17 years

18 to 24 years

25 to 34 years

35 to 44 years

45 to 54 years

55 to 64 years

65 to 74 years

75 years and over

No disability:

(Repeat AGE)

Income in 1999 at or above poverty level:

(Repeat DISABILITY STATUS BY AGE)

PCT149. POVERTY STATUS IN 1999 BY CITIZENSHIP STATUS BY YEAR OF ENTRY FOR

THE FOREIGN-BORN POPULATION [27]

Universe: Foreign-born population for whom poverty status is determined

Total:

Income in 1999 below poverty level:

Naturalized citizen:

Year of entry 1995 to March 2000

Year of entry 1990 to 1994

Year of entry 1985 to 1989

Year of entry 1980 to 1984

Year of entry before 1980

Not a citizen:

(Repeat YEAR OF ENTRY)

Income in 1999 at or above poverty level:

(Repeat CITIZENSHIP STATUS BY YEAR OF ENTRY)

PCT150. POVERTY STATUS IN 1999 OF RELATED CHILDREN UNDER 18 YEARS BY

FAMILY TYPE BY AGE [29]

Universe: Related children under 18 years

Total:

Income in 1999 below poverty level:

In married-couple family:

Under 5 years

5 years

6 to 17 years

In other family:

Male householder, no wife present:

Under 5 years

5 years

6 to 17 years

Female householder, no husband present:

Under 5 years

5 years

6 to 17 years

Income in 1999 at or above poverty level:

(Repeat FAMILY TYPE BY AGE)

Summary Table Outlines 6–67

U.S. Census Bureau, Census 2000
PCT151. POVERTY STATUS IN 1999 OF UNRELATED INDIVIDUALS BY SEX BY AGE [43]

Universe: Unrelated individuals 15 years and over for whom poverty status is determined

Total:

Income in 1999 below poverty level:

Male:

15 years

16 and 17 years

18 to 24 years

25 to 34 years

35 to 44 years

45 to 54 years

55 to 64 years

65 to 74 years

75 years and over

Female:

(Repeat AGE)

Income in 1999 at or above poverty level:

(Repeat SEX BY AGE)

PCT152. AGGREGATE INCOME DEFICIT IN 1999 (DOLLARS) OF UNRELATED

INDIVIDUALS BY SEX [3]

Universe: Unrelated individuals with income in 1999 below the poverty level

Total:

Male

Female

PCT153. POVERTY STATUS IN 1999 OF UNRELATED INDIVIDUALS BY SEX BY AGE BY

HOUSEHOLDER STATUS (INCLUDING LIVING ALONE) [107]

Universe: Unrelated individuals for whom poverty status is determined

Total:

Income in 1999 below poverty level:

Male:

Under 25 years:

Nonfamily householder:

Living alone

Not living alone

Other unrelated individuals

25 to 59 years:

(Repeat HOUSEHOLDER STATUS (INCLUDING LIVING ALONE))

60 to 64 years:

(Repeat HOUSEHOLDER STATUS (INCLUDING LIVING ALONE))

65 to 74 years:

(Repeat HOUSEHOLDER STATUS (INCLUDING LIVING ALONE))

75 years and over:

(Repeat HOUSEHOLDER STATUS (INCLUDING LIVING ALONE))

Female:

(Repeat AGE BY HOUSEHOLDER STATUS (INCLUDING LIVING ALONE))

Income in 1999 at or above poverty level:

(Repeat SEX BY AGE BY HOUSEHOLDER STATUS (INCLUDING LIVING ALONE))

6–68 Summary Table Outlines

U.S. Census Bureau, Census 2000
PCT154. POVERTY STATUS IN 1999 OF UNRELATED INDIVIDUALS BY HOUSEHOLDER

STATUS (INCLUDING LIVING ALONE) BY EDUCATIONAL ATTAINMENT [23]

Universe: Unrelated individuals for whom poverty status is determined

Total:

Income in 1999 below poverty level:

Nonfamily householder:

Living alone:

High school graduate

Not high school graduate

Not living alone:

High school graduate

Not high school graduate

Other unrelated individuals:

High school graduate

Not high school graduate

Income in 1999 at or above poverty level:

(Repeat HOUSEHOLDER STATUS (INCLUDING LIVING ALONE) BY EDUCATIONAL ATTAINMENT)

PCT155. POVERTY STATUS IN 1999 OF UNRELATED INDIVIDUALS BY HOUSEHOLDER

STATUS (INCLUDING LIVING ALONE) BY SOCIAL SECURITY INCOME BY PUBLIC

ASSISTANCE INCOME [47]

Universe: Unrelated individuals for whom poverty status is determined

Total:

Income in 1999 below poverty level:

Nonfamily householder:

Living alone:

With Social Security income in 1999:

With public assistance income in 1999

Without public assistance income in 1999

Without Social Security income in 1999:

With public assistance income in 1999

Without public assistance income in 1999

Not living alone:

(Repeat SOCIAL SECURITY INCOME BY PUBLIC ASSISTANCE INCOME IN 1999)

Other unrelated individuals:

(Repeat SOCIAL SECURITY INCOME BY PUBLIC ASSISTANCE INCOME IN 1999)

Income in 1999 at or above poverty level:

(Repeat HOUSEHOLDER STATUS BY SOCIAL SECURITY INCOME

BY PUBLIC ASSISTANCE INCOME IN 1999)

PCT156. POVERTY STATUS IN 1999 OF UNRELATED INDIVIDUALS BY WORK

EXPERIENCE BY HOUSEHOLDER STATUS [21]

Universe: Unrelated individuals for whom poverty status is determined

Total:

Income in 1999 below poverty level:

Worked full-time, year-round in 1999:

Nonfamily householder

Other unrelated individuals

Worked less than full-time, year-round in 1999:

Nonfamily householder

Other unrelated individuals

Did not work in 1999:

Nonfamily householder

Other unrelated individuals

Income in 1999 at or above poverty level:

(Repeat WORK EXPERIENCE OF UNRELATED INDIVIDUALS

BY HOUSEHOLDER STATUS)

Summary Table Outlines 6–69

U.S. Census Bureau, Census 2000
Poverty Status (Family)

PCT157. POVERTY STATUS IN 1999 OF FAMILIES BY FAMILY TYPE BY PRESENCE OF

RELATED CHILDREN UNDER 18 YEARS BY AGE OF RELATED CHILDREN [41]

Universe: Families

Total:

Income in 1999 below poverty level:

Married-couple family:

With related children under 18 years:

Under 5 years only

Under 5 years and 5 to 17 years

5 to 17 years only

No related children under 18 years

Other family:

Male householder, no wife present:

With related children under 18 years:

Under 5 years only

Under 5 years and 5 to 17 years

5 to 17 years only

No related children under 18 years

Female householder, no husband present:

With related children under 18 years:

Under 5 years only

Under 5 years and 5 to 17 years

5 to 17 years only

No related children under 18 years

Income in 1999 at or above poverty level:

(Repeat FAMILY TYPE BY PRESENCE OF RELATED CHILDREN UNDER 18 YEARS BY AGE OF

RELATED CHILDREN)

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

PCT158. AGGREGATE INCOME DEFICIT IN 1999 (DOLLARS) FOR FAMILIES BY FAMILY

TYPE [5]

Universe: Families with income in 1999 below the poverty level

Aggregate income deficit in 1999:

Married-couple family

Other family:

Male householder, no wife present

Female householder, no husband present

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

PCT159. POVERTY STATUS IN 1999 OF FAMILIES BY DISABILITY STATUS OF

HOUSEHOLDER [7]

Universe: Families

Total:

Income in 1999 below poverty level:

Householder with a disability

Householder with no disability

Income in 1999 at or above poverty level:

(Repeat DISABILITY STATUS OF HOUSEHOLDER)

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

6–70 Summary Table Outlines

U.S. Census Bureau, Census 2000
PCT160. POVERTY STATUS IN 1999 OF FAMILIES BY FAMILY TYPE BY SOCIAL SECURITY

INCOME BY SUPPLEMENTAL SECURITY INCOME (SSI) AND/OR PUBLIC ASSISTANCE

INCOME [47]

Universe: Families

Total:

Income in 1999 below poverty level:

Married-couple family:

With Social Security income in 1999:

With SSI and/or public assistance income in 1999

Without SSI or public assistance income in 1999

Without Social Security income in 1999:

(Repeat SSI OR PUBLIC ASSISTANCE INCOME)

Other family:

Male householder, no wife present:

(Repeat SOCIAL SECURITY INCOME BY SSI OR PUBLIC ASSISTANCE INCOME)

Female householder, no husband present:

(Repeat SOCIAL SECURITY INCOME BY SSI OR PUBLIC ASSISTANCE INCOME)

Income in 1999 at or above poverty level:

(Repeat FAMILY TYPE BY SOCIAL SECURITY INCOME BY SSI OR PUBLIC ASSISTANCE INCOME)

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

PCT161. POVERTY STATUS IN 1999 OF FAMILIES BY FAMILY TYPE BY WORK

EXPERIENCE OF HOUSEHOLDER AND SPOUSE [47]

Universe: Families

Total:

Income in 1999 below poverty level:

Married-couple family:

Householder worked full-time, year-round in 1999:

Spouse worked full-time, year-round in 1999

Spouse worked less than full-time, year-round in 1999

Spouse did not work in 1999

Householder worked less than full-time, year-round in 1999:

Spouse worked full-time, year-round in 1999

Spouse worked less than full-time, year-round in 1999

Spouse did not work in 1999

Householder did not work in 1999:

Spouse worked full-time, year-round in 1999

Spouse worked less than full-time, year-round in 1999

Spouse did not work in 1999

Other family:

Male householder, no wife present:

Householder worked full-time, year-round in 1999

Householder worked less than full-time, year-round in 1999

Householder did not work in 1999

Female householder, no husband present:

Householder worked full-time, year-round in 1999

Householder worked less than full-time, year-round in 1999

Householder did not work in 1999

Income in 1999 at or above poverty level:

(Repeat FAMILY TYPE BY WORK EXPERIENCE OF HOUSEHOLDER AND SPOUSE)

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

Summary Table Outlines 6–71

U.S. Census Bureau, Census 2000
PCT162. RATIO OF INCOME IN 1999 TO POVERTY LEVEL OF FAMILIES BY FAMILY TYPE

BY PRESENCE OF RELATED CHILDREN UNDER 18 YEARS BY AGE OF RELATED

CHILDREN [81]

Universe: Families

Total:

Under 1.30:

Married-couple family:

With related children under 18 years:

Under 5 years only

Under 5 years and 5 to 17 years

5 to 17 years only

No related children under 18 years

Other family:

Male householder, no wife present:

With related children under 18 years:

Under 5 years only

Under 5 and 5 to 17 years

5 to 17 years only

No related children under 18 years

Female householder, no husband present:

With related children under 18 years:

Under 5 years only

Under 5 and 5 to 17 years

5 to 17 years only

No related children under 18 years

1.30 to 1.49:

(Repeat FAMILY TYPE BY PRESENCE OF RELATED CHILDREN UNDER 18 YEARS

BY AGE OF RELATED CHILDREN)

1.50 to 1.84:

(Repeat FAMILY TYPE BY PRESENCE OF RELATED CHILDREN UNDER 18 YEARS

BY AGE OF RELATED CHILDREN)

1.85 and above:

(Repeat FAMILY TYPE BY PRESENCE OF RELATED CHILDREN UNDER 18 YEARS

BY AGE OF RELATED CHILDREN)

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

Poverty Status (Household)

PCT163. POVERTY STATUS IN 1999 OF HOUSEHOLDS BY HOUSEHOLD TYPE BY AGE OF

HOUSEHOLDER [59]

Universe: Households

Total:

Income in 1999 below poverty level:

Family households:

Married-couple family:

Householder under 25 years

Householder 25 to 44 years

Householder 45 to 64 years

Householder 65 years and over

Other family:

Male householder, no wife present:

(Repeat AGE OF HOUSEHOLDER)

Female householder, no husband present:

(Repeat AGE OF HOUSEHOLDER)

6–72 Summary Table Outlines

U.S. Census Bureau, Census 2000
PCT163. POVERTY STATUS IN 1999 OF HOUSEHOLDS BY HOUSEHOLD TYPE BY AGE OF

HOUSEHOLDER [59]—Con.

Total—Con.

Income in 1999 below poverty level—Con.

Nonfamily households:

Male householder:

(Repeat AGE OF HOUSEHOLDER)

Female householder:

(Repeat AGE OF HOUSEHOLDER)

Income in 1999 at or above poverty level:

(Repeat HOUSEHOLD TYPE BY AGE OF HOUSEHOLDER)

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

PCT164. RATIO OF INCOME IN 1999 TO POVERTY LEVEL BY HOUSEHOLD TYPE [19]

Universe: Households

Total:

Under 1.50:

Family households:

Married-couple family

Other family:

Male householder, no wife present

Female householder, no husband present

Nonfamily households:

Male householder

Female householder

1.50 and over:

(Repeat HOUSEHOLD TYPE)

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

Imputation

PCT165. IMPUTATION OF POPULATION ITEMS [3]

Universe: Total population

Total:

No items imputed

One or more items imputed

PCT166. IMPUTATION OF POPULATION ITEMS FOR THE POPULATION IN GROUP

QUARTERS [3]

Universe: Population in group quarters

Total:

No items imputed

One or more items imputed

PCT167. IMPUTATION OF RELATIONSHIP [3]

Universe: Population in households

Total:

Imputed

Not imputed

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the person.

Summary Table Outlines 6–73

U.S. Census Bureau, Census 2000
PCT168. IMPUTATION OF SEX [3]

Universe: Total population

Total:

Imputed

Not imputed

PCT169. IMPUTATION OF AGE [3]

Universe: Total population

Total:

Imputed

Not imputed

PCT170. IMPUTATION OF GRANDPARENTS LIVING WITH OWN GRANDCHILDREN

UNDER 18 YEARS FOR THE POPULATION 30 YEARS AND OVER IN HOUSEHOLDS [3]

Universe: Population 30 years and over in households

Total:

Imputed

Not imputed

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the person.

PCT171. IMPUTATION OF RESPONSIBILITY FOR OWN GRANDCHILDREN UNDER

18 YEARS FOR THE POPULATION 30 YEARS AND OVER IN HOUSEHOLDS [5]

Universe: Population 30 years and over in households

Total:

Living with own grandchildren under 18 years:

Responsibility for own grandchildren under 18 years—

Imputed

Not imputed

Not living with own grandchildren under 18 years

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the person.

PCT172. IMPUTATION OF LENGTH OF TIME GRANDPARENT RESPONSIBLE FOR OWN

GRANDCHILDREN UNDER 18 YEARS FOR THE POPULATION 30 YEARS AND OVER IN

HOUSEHOLDS [7]

Universe: Population 30 years and over in households

Total:

Living with own grandchildren under 18 years:

Grandparent responsible for own grandchildren under 18 years:

Length of time—

Imputed

Not imputed

Grandparent not responsible for own grandchildren under 18 years

Not living with own grandchildren under 18 years

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the person.

PCT173. IMPUTATION OF MARITAL STATUS FOR THE POPULATION 15 YEARS AND

OVER [3]

Universe: Population 15 years and over

Total:

Imputed

Not imputed

6–74 Summary Table Outlines

U.S. Census Bureau, Census 2000
PCT174. IMPUTATION OF PLACE OF BIRTH [3]

Universe: Total population

Total:

Imputed

Not imputed

PCT175. IMPUTATION OF CITIZENSHIP STATUS [3]

Universe: Total population

Total:

Imputed

Not imputed

PCT176. IMPUTATION OF YEAR OF ENTRY FOR THE FOREIGN-BORN POPULATION [3]

Universe: Foreign-born population

Total:

Imputed

Not imputed

PCT177. IMPUTATION OF LANGUAGE STATUS FOR THE POPULATION 5 YEARS AND

OVER [3]

Universe: Population 5 years and over

Total:

Imputed

Not imputed

PCT178. IMPUTATION OF LANGUAGE SPOKEN AT HOME FOR THE POPULATION 5

YEARS AND OVER [7]

Universe: Population 5 years and over

Total:

Speak only English

Speak other languages:

Specific language spoken—

Imputed:

Language status imputed

Language status not imputed

Not imputed

PCT179. IMPUTATION OF ABILITY TO SPEAK ENGLISH FOR THE POPULATION 5 YEARS

AND OVER [5]

Universe: Population 5 years and over

Total:

Speak only English

Speak other languages:

Ability to speak English—

Imputed

Not imputed

PCT180. IMPUTATION OF SCHOOL ENROLLMENT AND TYPE OF SCHOOL FOR THE

POPULATION 3 YEARS AND OVER [3]

Universe: Population 3 years and over

Total:

Imputed

Not imputed

Summary Table Outlines 6–75

U.S. Census Bureau, Census 2000
PCT181. IMPUTATION OF GRADE ENROLLED FOR THE POPULATION 3 YEARS AND

OVER ENROLLED IN SCHOOL [3]

Universe: Population 3 years and over enrolled in school

Total:

Imputed

Not imputed

PCT182. IMPUTATION OF EDUCATIONAL ATTAINMENT FOR THE POPULATION

25 YEARS AND OVER [3]

Universe: Population 25 years and over

Total:

Imputed

Not imputed

PCT183. IMPUTATION OF MOBILITY STATUS FOR THE POPULATION 5 YEARS AND

OVER [3]

Universe: Population 5 years and over

Total:

Imputed

Not imputed

PCT184. IMPUTATION OF RESIDENCE 5 YEARS AGO FOR THE POPULATION 5 YEARS

AND OVER [7]

Universe: Population 5 years and over

Total:

Different house:

Imputed:

One or more but not all geographic parts imputed

All geographic parts imputed

Not imputed

Same house

PCT185. IMPUTATION OF VETERAN STATUS FOR THE POPULATION 18 YEARS AND

OVER [3]

Universe: Population 18 years and over

Total:

Imputed

Not imputed

PCT186. IMPUTATION OF PERIOD OF MILITARY SERVICE FOR CIVILIAN VETERANS

18 YEARS AND OVER [3]

Universe: Civilian veterans 18 years and over

Total:

Imputed

Not imputed

PCT187. IMPUTATION OF LENGTH OF MILITARY SERVICE FOR CIVILIAN VETERANS

18 YEARS AND OVER [3]

Universe: Civilian veterans 18 years and over

Total:

Imputed

Not imputed

6–76 Summary Table Outlines

U.S. Census Bureau, Census 2000
PCT188. IMPUTATION OF DISABILITY ITEMS FOR THE CIVILIAN

NONINSTITUTIONALIZED POPULATION 5 YEARS AND OVER [3]

Universe: Civilian noninstitutionalized population 5 years and over

Total:

No disability items imputed

One or more disability items imputed

PCT189. IMPUTATION OF SENSORY DISABILITY FOR THE CIVILIAN

NONINSTITUTIONALIZED POPULATION 5 YEARS AND OVER [3]

Universe: Civilian noninstitutionalized population 5 years and over

Total:

Imputed

Not imputed

PCT190. IMPUTATION OF PHYSICAL DISABILITY FOR THE CIVILIAN

NONINSTITUTIONALIZED POPULATION 5 YEARS AND OVER [3]

Universe: Civilian noninstitutionalized population 5 years and over

Total:

Imputed

Not imputed

PCT191. IMPUTATION OF MENTAL DISABILITY FOR THE CIVILIAN

NONINSTITUTIONALIZED POPULATION 5 YEARS AND OVER [3]

Universe: Civilian noninstitutionalized population 5 years and over

Total:

Imputed

Not imputed

PCT192. IMPUTATION OF SELF-CARE DISABILITY FOR THE CIVILIAN

NONINSTITUTIONALIZED POPULATION 5 YEARS AND OVER [3]

Universe: Civilian noninstitutionalized population 5 years and over

Total:

Imputed

Not imputed

PCT193. IMPUTATION OF GO-OUTSIDE-HOME DISABILITY FOR THE CIVILIAN

NONINSTITUTIONALIZED POPULATION 16 YEARS AND OVER [3]

Universe: Civilian noninstitutionalized population 16 years and over

Total:

Imputed

Not imputed

PCT194. IMPUTATION OF EMPLOYMENT DISABILITY FOR THE CIVILIAN

NONINSTITUTIONALIZED POPULATION 16 TO 64 YEARS [3]

Universe: Civilian noninstitutionalized population 16 to 64 years

Total:

Imputed

Not imputed

PCT195. IMPUTATION OF PLACE OF WORK FOR WORKERS 16 YEARS AND OVER [5]

Universe: Workers 16 years and over

Total:

Imputed:

One or more but not all geographic parts imputed

All geographic parts imputed

Not imputed

Summary Table Outlines 6–77

U.S. Census Bureau, Census 2000
PCT196. IMPUTATION OF MEANS OF TRANSPORTATION TO WORK FOR WORKERS

16 YEARS AND OVER [3]

Universe: Workers 16 years and over

Total:

Imputed

Not imputed

PCT197. IMPUTATION OF PRIVATE VEHICLE OCCUPANCY FOR WORKERS 16 YEARS AND

OVER [5]

Universe: Workers 16 years and over

Total:

Car, truck, or van:

Imputed

Not imputed

Other means (including those who worked at home)

PCT198. IMPUTATION OF TIME LEAVING HOME TO GO TO WORK FOR WORKERS

16 YEARS AND OVER [5]

Universe: Workers 16 years and over

Total:

Did not work at home:

Time leaving home to go to work—

Imputed

Not imputed

Worked at home

PCT199. IMPUTATION OF TRAVEL TIME TO WORK FOR WORKERS 16 YEARS AND OVER

[5]

Universe: Workers 16 years and over

Total:

Did not work at home:

Travel time to work—

Imputed

Not imputed

Worked at home

PCT200. IMPUTATION OF EMPLOYMENT STATUS FOR THE POPULATION 16 YEARS AND

OVER [3]

Universe: Population 16 years and over

Total:

Imputed

Not imputed

PCT201. IMPUTATION OF WORK STATUS IN 1999 FOR THE POPULATION 16 YEARS

AND OVER [3]

Universe: Population 16 years and over

Total:

Imputed

Not imputed

6–78 Summary Table Outlines

U.S. Census Bureau, Census 2000
PCT202. IMPUTATION OF USUAL HOURS WORKED PER WEEK IN 1999 FOR THE

POPULATION 16 YEARS AND OVER [5]

Universe: Population 16 years and over

Total:

Worked in 1999:

Usual hours worked per week in 1999—

Imputed

Not imputed

Did not work in 1999

PCT203. IMPUTATION OF WEEKS WORKED IN 1999 FOR THE POPULATION 16 YEARS

AND OVER [5]

Universe: Population 16 years and over

Total:

Worked in 1999:

Weeks worked in 1999—

Imputed

Not imputed

Did not work in 1999

PCT204. IMPUTATION OF INDUSTRY FOR THE EMPLOYED CIVILIAN POPULATION

16 YEARS AND OVER [3]

Universe: Employed civilian population 16 years and over

Total:

Imputed

Not imputed

PCT205. IMPUTATION OF OCCUPATION FOR THE EMPLOYED CIVILIAN POPULATION

16 YEARS AND OVER [3]

Universe: Employed civilian population 16 years and over

Total:

Imputed

Not imputed

PCT206. IMPUTATION OF CLASS OF WORKER FOR THE EMPLOYED CIVILIAN

POPULATION 16 YEARS AND OVER [3]

Universe: Employed civilian population 16 years and over

Total:

Imputed

Not imputed

PCT207. IMPUTATION OF INDIVIDUALS’ INCOME IN 1999 FOR THE POPULATION

15 YEARS AND OVER — PERCENT OF INCOME IMPUTED [7]

Universe: Population 15 years and over

Percent of income imputed—

No income imputed

Dollar value of zero imputed

More than 0 to less than 10 percent of total income for individual imputed

10 to less than 25 percent of total income for individual imputed

25 to less than 50 percent of total income for individual imputed

50 to less than 100 percent of total income for individual imputed

100 percent of total income for individual imputed

Summary Table Outlines 6–79

U.S. Census Bureau, Census 2000
PCT208. IMPUTATION OF EARNINGS IN 1999 FOR THE POPULATION 16 YEARS AND

OVER — PERCENT OF EARNINGS IMPUTED [7]

Universe: Population 16 years and over

Percent of earnings imputed—

No earnings imputed

Dollar value of zero imputed

More than 0 to less than 10 percent of total earnings for individual imputed

10 to less than 25 percent of total earnings for individual imputed

25 to less than 50 percent of total earnings for individual imputed

50 to less than 100 percent of total earnings for individual imputed

100 percent of total earnings for individual imputed

PCT209. IMPUTATION OF HOUSEHOLD INCOME IN 1999 — PERCENT OF INCOME

IMPUTED [7]

Universe: Households

Percent of income imputed—

No income imputed

Dollar value of zero imputed

More than 0 to less than 10 percent of total income for household imputed

10 to less than 25 percent of total income for household imputed

25 to less than 50 percent of total income for household imputed

50 to less than 100 percent of total income for household imputed

100 percent of total income for household imputed

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

PCT210. IMPUTATION OF FAMILY INCOME IN 1999 — PERCENT OF INCOME IMPUTED

[7]

Universe: Families

Percent of income imputed—

No income imputed

Dollar value of zero imputed

More than 0 to less than 10 percent of total income for family imputed

10 to less than 25 percent of total income for family imputed

25 to less than 50 percent of total income for family imputed

50 to less than 100 percent of total income for family imputed

100 percent of total income for family imputed

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

6–80 Summary Table Outlines

U.S. Census Bureau, Census 2000
PCT211. IMPUTATION OF NONFAMILY HOUSEHOLD INCOME IN 1999 — PERCENT OF

INCOME IMPUTED [7]

Universe: Nonfamily households

Percent of income imputed—

No income imputed

Dollar value of zero imputed

More than 0 to less than 10 percent of total income for nonfamily household imputed

10 to less than 25 percent of total income for nonfamily household imputed

25 to less than 50 percent of total income for nonfamily household imputed

50 to less than 100 percent of total income for nonfamily household imputed

100 percent of total income for nonfamily household imputed

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the

householder.

PCT212. POVERTY STATUS IN 1999 OF UNRELATED INDIVIDUALS BY IMPUTATION OF

INDIVIDUALS’ INCOME — PERCENT OF INCOME IMPUTED [14]

Universe: Unrelated individuals for whom poverty status is determined

Percent of income imputed for individuals with income in 1999 below poverty level—

No income imputed

Dollar value of zero imputed

More than 0 to less than 10 percent of total income for individual imputed

10 to less than 25 percent of total income for individual imputed

25 to less than 50 percent of total income for individual imputed

50 to less than 100 percent of total income for individual imputed

100 percent of total income for individual imputed

Percent of income imputed for individuals with income in 1999 at or above poverty level—

No income imputed

Dollar value of zero imputed

More than 0 to less than 10 percent of total income for individual imputed

10 to less than 25 percent of total income for individual imputed

25 to less than 50 percent of total income for individual imputed

50 to less than 100 percent of total income for individual imputed

100 percent of total income for individual imputed

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the person.

PCT213. POVERTY STATUS IN 1999 OF INDIVIDUALS IN FAMILIES BY IMPUTATION OF

FAMILY INCOME — PERCENT OF INCOME IMPUTED [14]

Universe: Population in families

Percent of family income imputed for people living in families with income in 1999 below poverty

level—

No income imputed

Dollar value of zero imputed

More than 0 to less than 10 percent of total income for family imputed

10 to less than 25 percent of total income for family imputed

25 to less than 50 percent of total income for family imputed

50 to less than 100 percent of total income for family imputed

100 percent of total income for family imputed

Summary Table Outlines 6–81

U.S. Census Bureau, Census 2000
PCT213. POVERTY STATUS IN 1999 OF INDIVIDUALS IN FAMILIES BY IMPUTATION OF

FAMILY INCOME — PERCENT OF INCOME IMPUTED [14]—Con.

Percent of family income imputed for people living in families with income in 1999 at or above

poverty level—

No income imputed

Dollar value of zero imputed

More than 0 to less than 10 percent of total income for family imputed

10 to less than 25 percent of total income for family imputed

25 to less than 50 percent of total income for family imputed

50 to less than 100 percent of total income for family imputed

100 percent of total income for family imputed

Note: When a category other than Total Population is selected, the data in this table refer to the

race, Hispanic or Latino origin, American Indian or Alaska Native tribe, or ancestry of the person.

HOUSING SUBJECTS

Tenure, Occpancy, and Vacancy Characteristics

HCT1. URBAN AND RURAL [7]

Universe: Occupied housing units

Total:

Urban:

Inside urbanized areas

Inside urban clusters

Rural:

Farm

Nonfarm

HCT2. TENURE [3]

Universe: Occupied housing units

Total:

Owner occupied

Renter occupied

HCT3. TENURE BY AGE OF HOUSEHOLDER [21]

Universe: Occupied housing units

Total:

Owner occupied:

Householder 15 to 24 years

Householder 25 to 34 years

Householder 35 to 44 years

Householder 45 to 54 years

Householder 55 to 59 years

Householder 60 to 64 years

Householder 65 to 74 years

Householder 75 to 84 years

Householder 85 years and over

Renter occupied:

(Repeat AGE OF HOUSEHOLDER)

HCT4. TOTAL POPULATION IN OCCUPIED HOUSING UNITS BY TENURE [3]

Universe: Population in occupied housing units

Total population in occupied housing units:

Owner occupied

Renter occupied

6–82 Summary Table Outlines

U.S. Census Bureau, Census 2000
HCT5. HOUSEHOLD SIZE [8]

Universe: Occupied housing units

Total:

1-person household

2-person household

3-person household

4-person household

5-person household

6-person household

7-or-more-person household

HCT6. TENURE BY HOUSEHOLD SIZE [17]

Universe: Occupied housing units

Total:

Owner occupied:

1-person household

2-person household

3-person household

4-person household

5-person household

6-person household

7-or-more-person household

Renter occupied:

(Repeat HOUSEHOLD SIZE)

HCT7. AVERAGE HOUSEHOLD SIZE OF OCCUPIED HOUSING UNITS BY TENURE [3]

(2 expressed decimals)

Universe: Occupied housing units

Average household size—

Total

Owner occupied

Renter occupied

HCT8. TENURE BY HOUSEHOLD TYPE AND PRESENCE AND AGE OF OWN CHILDREN [53]

Universe: Occupied housing units

Total:

Owner occupied:

Family households:

Married-couple family:

With own children under 18 years:

Under 6 years only

Under 6 and 6 to 17 years

6 to 17 years only

No own children under 18 years

Other family:

Male householder, no wife present:

With own children under 18 years:

Under 6 years only

Under 6 and 6 to 17 years

6 to 17 years only

No own children under 18 years

Summary Table Outlines 6–83

U.S. Census Bureau, Census 2000
HCT8. TENURE BY HOUSEHOLD TYPE AND PRESENCE AND AGE OF OWN CHILDREN [53]

Total—Con.

Owner occupied—Con.

Family households—Con.

Other family—Con.

Female householder, no husband present:

With own children under 18 years:

Under 6 years only

Under 6 and 6 to 17 years

6 to 17 years only

No own children under 18 years

Nonfamily households:

Householder living alone:

Male householder

Female householder

Householder not living alone

Renter occupied:

(Repeat HOUSEHOLD TYPE AND PRESENCE AND AGE OF OWN CHILDREN)

HCT9. TENURE BY HOUSEHOLD TYPE (INCLUDING LIVING ALONE) BY AGE OF

HOUSEHOLDER [125]

Universe: Occupied housing units

Total:

Owner occupied:

Family households:

Married-couple family:

Householder 15 to 24 years

Householder 25 to 34 years

Householder 35 to 44 years

Householder 45 to 54 years

Householder 55 to 64 years

Householder 65 to 74 years

Householder 75 years and over

Other family:

Male householder, no wife present:

(Repeat AGE OF HOUSEHOLDER)

Female householder, no husband present:

(Repeat AGE OF HOUSEHOLDER)

Nonfamily households:

Male householder:

Living alone:

(Repeat AGE OF HOUSEHOLDER)

Not living alone:

(Repeat AGE OF HOUSEHOLDER)

Female householder:

Living alone:

(Repeat AGE OF HOUSEHOLDER)

Not living alone:

(Repeat AGE OF HOUSEHOLDER)

Renter occupied:

(Repeat HOUSEHOLD TYPE (INCLUDING LIVING ALONE) BY AGE OF HOUSEHOLDER)

6–84 Summary Table Outlines

U.S. Census Bureau, Census 2000
HCT10. TENURE BY HOUSEHOLD SIZE BY AGE OF HOUSEHOLDER [35]

Universe: Occupied housing units

Total:

Owner occupied:

1-person household:

Householder 15 to 24 years

Householder 25 to 34 years

Householder 35 to 44 years

Householder 45 to 54 years

Householder 55 to 64 years

Householder 65 to 74 years

Householder 75 years and over

2-or-more person household:

(Repeat AGE OF HOUSEHOLDER)

Renter occupied:

(Repeat HOUSEHOLD SIZE BY AGE OF HOUSEHOLDER)

HCT11. TENURE BY OCCUPANTS PER ROOM [13]

Universe: Occupied housing units

Total:

Owner occupied:

0.50 or less occupants per room

0.51 to 1.00 occupants per room

1.01 to 1.50 occupants per room

1.51 to 2.00 occupants per room

2.01 or more occupants per room

Renter occupied:

(Repeat OCCUPANTS PER ROOM)

HCT12. TENURE BY AGE OF HOUSEHOLDER BY OCCUPANTS PER ROOM [59]

Universe: Occupied housing units

Total:

Owner occupied:

Householder 15 to 24 years:

1.00 or less occupants per room

1.01 to 1.50 occupants per room

1.51 or more occupants per room

Householder 25 to 34 years:

(Repeat OCCUPANTS PER ROOM)

Householder 35 to 44 years:

(Repeat OCCUPANTS PER ROOM)

Householder 45 to 54 years:

(Repeat OCCUPANTS PER ROOM)

Householder 55 to 64 years:

(Repeat OCCUPANTS PER ROOM)

Householder 65 TO 74 years:

(Repeat OCCUPANTS PER ROOM)

Householder 75 years and over:

(Repeat OCCUPANTS PER ROOM)

Renter occupied:

(Repeat AGE OF HOUSEHOLDER BY OCCUPANTS PER ROOM)

Summary Table Outlines 6–85

U.S. Census Bureau, Census 2000
HCT13. TENURE BY PLUMBING FACILITIES BY OCCUPANTS PER ROOM [19]

Universe: Occupied housing units

Total:

Owner occupied:

Complete plumbing facilities:

1.00 or less occupants per room

1.01 to 1.50 occupants per room

1.51 or more occupants per room

Lacking complete plumbing facilities:

(Repeat OCCUPANTS PER ROOM)

Renter occupied:

(Repeat PLUMBING FACILITIES BY OCCUPANTS PER ROOM)

HCT14. TENURE BY ROOMS [21]

Universe: Occupied housing units

Total:

Owner occupied:

1 room

2 rooms

3 rooms

4 rooms

5 rooms

6 rooms

7 rooms

8 rooms

9 or more rooms

Renter occupied:

(Repeat ROOMS)

HCT15. MEDIAN NUMBER OF ROOMS BY TENURE [3]

(1 expressed decimal)

Universe: Occupied housing units

Median number of rooms—

Total

Owner occupied

Renter occupied

HCT16. AGGREGATE NUMBER OF ROOMS BY TENURE [3]

Universe: Occupied housing units

Aggregate number of rooms:

Owner occupied

Renter occupied

6–86 Summary Table Outlines

U.S. Census Bureau, Census 2000
Units in Structure

HCT17. TENURE BY UNITS IN STRUCTURE [23]

Universe: Occupied housing units

Total:

Owner occupied:

1, detached

1, attached

2

3 or 4

5 to 9

10 to 19

20 to 49

50 or more

Mobile home

Boat, RV, van, etc.

Renter occupied:

(Repeat UNITS IN STRUCTURE)

HCT18. TOTAL POPULATION IN OCCUPIED HOUSING UNITS BY TENURE BY UNITS IN

STRUCTURE [23]

Universe: Population in occupied housing units

Total population in occupied housing units:

Owner occupied:

1, detached

1, attached

2

3 or 4

5 to 9

10 to 19

20 to 49

50 or more

Mobile home

Boat, RV, van, etc.

Renter occupied:

(Repeat UNITS IN STRUCTURE)

HCT19. TENURE BY HOUSEHOLD SIZE BY UNITS IN STRUCTURE [83]

Universe: Occupied housing units

Total:

Owner occupied:

1-person household:

1, detached or attached

2 to 4

5 to 19

20 to 49

50 or more

Mobile home

Boat, RV, van, etc.

2-person household:

(Repeat UNITS IN STRUCTURE)

3-person household:

(Repeat UNITS IN STRUCTURE)

Summary Table Outlines 6–87

U.S. Census Bureau, Census 2000
HCT19. TENURE BY HOUSEHOLD SIZE BY UNITS IN STRUCTURE [83]—Con.

Total—Con.

Owner occupied—Con.

4-person household:

(Repeat UNITS IN STRUCTURE)

5-or-more person household:

(Repeat UNITS IN STRUCTURE)

Renter occupied:

(Repeat HOUSEHOLD SIZE BY UNITS IN STRUCTURE)

HCT20. TENURE BY AGE OF HOUSEHOLDER BY UNITS IN STRUCTURE [115]

Universe: Occupied housing units

Total:

Owner occupied:

Householder 15 to 24 years:

1, detached or attached

2 to 4

5 to 19

20 to 49

50 or more

Mobile home

Boat, RV, van, etc.

Householder 25 to 34 years:

(Repeat UNITS IN STRUCTURE)

Householder 35 to 44 years:

(Repeat UNITS IN STRUCTURE)

Householder 45 to 54 years:

(Repeat UNITS IN STRUCTURE)

Householder 55 to 64 years:

(Repeat UNITS IN STRUCTURE)

Householder 65 to 74 years:

(Repeat UNITS IN STRUCTURE)

Householder 75 years and over:

(Repeat UNITS IN STRUCTURE)

Renter occupied:

(Repeat AGE OF HOUSEHOLDER BY UNITS IN STRUCTURE)

Year Structure Built

HCT21. TENURE BY YEAR STRUCTURE BUILT [21]

Universe: Occupied housing units

Total:

Owner occupied:

Built 1999 to March 2000

Built 1995 to 1998

Built 1990 to 1994

Built 1980 to 1989

Built 1970 to 1979

Built 1960 to 1969

Built 1950 to 1959

Built 1940 to 1949

Built 1939 or earlier

Renter occupied:

(Repeat YEAR STRUCTURE BUILT)

6–88 Summary Table Outlines

U.S. Census Bureau, Census 2000
HCT22. MEDIAN YEAR STRUCTURE BUILT BY TENURE [3]

Universe: Occupied housing units

Median year structure built—

Total

Owner occupied

Renter occupied

HCT23. TENURE BY YEAR STRUCTURE BUILT BY UNITS IN STRUCTURE [147]

Universe: Occupied housing units

Total:

Owner occupied:

Built 1999 to March 2000:

1, detached or attached

2 to 4

5 to 19

20 to 49

50 or more

Mobile home

Boat, RV, van, etc.

Built 1995 to 1998:

(Repeat UNITS IN STRUCTURE)

Built 1990 to 1994:

(Repeat UNITS IN STRUCTURE)

Built 1980 to 1989:

(Repeat UNITS IN STRUCTURE)

Built 1970 to 1979:

(Repeat UNITS IN STRUCTURE)

Built 1960 to 1969:

(Repeat UNITS IN STRUCTURE)

Built 1950 to 1959:

(Repeat UNITS IN STRUCTURE)

Built 1940 to 1949:

(Repeat UNITS IN STRUCTURE)

Built 1939 or earlier:

(Repeat UNITS IN STRUCTURE)

Renter occupied:

(Repeat YEAR STRUCTURE BUILT BY UNITS IN STRUCTURE)

Year Householder Moved Into Unit

HCT24. TENURE BY YEAR HOUSEHOLDER MOVED INTO UNIT [15]

Universe: Occupied housing units

Total:

Owner occupied:

Moved in 1999 to March 2000

Moved in 1995 to 1998

Moved in 1990 to 1994

Moved in 1980 to 1989

Moved in 1970 to 1979

Moved in 1969 or earlier

Renter occupied:

(Repeat YEAR HOUSEHOLDER MOVED INTO UNIT)

HCT25. MEDIAN YEAR HOUSEHOLDER MOVED INTO UNIT BY TENURE [3]

Universe: Occupied housing units

Median year householder moved into unit—

Total

Owner occupied

Renter occupied

Summary Table Outlines 6–89

U.S. Census Bureau, Census 2000
HCT26. TENURE BY AGE OF HOUSEHOLDER BY YEAR HOUSEHOLDER MOVED INTO

UNIT [101]

Universe: Occupied housing units

Total:

Owner occupied:

Householder 15 to 24 years:

Moved in 1999 to March 2000

Moved in 1995 to 1998

Moved in 1990 to 1994

Moved in 1980 to 1989

Moved in 1970 to 1979

Moved in 1969 or earlier

Householder 25 to 34 years:

(Repeat YEAR HOUSEHOLDER MOVED INTO UNIT)

Householder 35 to 44 years:

(Repeat YEAR HOUSEHOLDER MOVED INTO UNIT)

Householder 45 to 54 years:

(Repeat YEAR HOUSEHOLDER MOVED INTO UNIT)

Householder 55 to 64 years:

(Repeat YEAR HOUSEHOLDER MOVED INTO UNIT)

Householder 65 to 74 years:

(Repeat YEAR HOUSEHOLDER MOVED INTO UNIT)

Householder 75 years and over:

(Repeat YEAR HOUSEHOLDER MOVED INTO UNIT)

Renter occupied:

(Repeat AGE OF HOUSEHOLDER BY YEAR HOUSEHOLDER MOVED INTO UNIT)

HCT27. TENURE BY YEAR HOUSEHOLDER MOVED INTO UNIT BY UNITS IN STRUCTURE

[99]

Universe: Occupied housing units

Total:

Owner occupied:

Moved in 1999 to March 2000:

1, detached or attached

2 to 4

5 to 19

20 to 49

50 or more

Mobile home

Boat, RV, van, etc.

Moved in 1995 to 1998:

(Repeat UNITS IN STRUCTURE)

Moved in 1990 to 1994:

(Repeat UNITS IN STRUCTURE)

Moved in 1980 to 1989:

(Repeat UNITS IN STRUCTURE)

Moved in 1970 to 1979:

(Repeat UNITS IN STRUCTURE)

Moved in 1969 or earlier:

(Repeat UNITS IN STRUCTURE)

Renter occupied:

(Repeat YEAR HOUSEHOLDER MOVED INTO UNIT BY UNITS IN STRUCTURE)

6–90 Summary Table Outlines

U.S. Census Bureau, Census 2000
HCT28. TOTAL POPULATION IN OCCUPIED HOUSING UNITS BY TENURE BY YEAR

HOUSEHOLDER MOVED INTO UNIT [15]

Universe: Population in occupied housing units

Total population in occupied housing units:

Owner occupied:

Moved in 1999 to March 2000

Moved in 1995 to 1998

Moved in 1990 to 1994

Moved in 1980 to 1989

Moved in 1970 to 1979

Moved in 1969 or earlier

Renter occupied:

(Repeat YEAR HOUSEHOLDER MOVED INTO UNIT)

House Heating Fuel

HCT29. TENURE BY HOUSE HEATING FUEL [21]

Universe: Occupied housing units

Total:

Owner occupied:

Utility gas

Bottled, tank, or LP gas

Electricity

Fuel oil, kerosene, etc.

Coal or coke

Wood

Solar energy

Other fuel

No fuel used

Renter occupied:

(Repeat HOUSE HEATING FUEL)

Bedrooms

HCT30. TENURE BY BEDROOMS [15]

Universe: Occupied housing units

Total:

Owner occupied:

No bedroom

1 bedroom

2 bedrooms

3 bedrooms

4 bedrooms

5 or more bedrooms

Renter occupied:

(Repeat BEDROOMS)

Summary Table Outlines 6–91

U.S. Census Bureau, Census 2000
Telephone Service Available

HCT31. TENURE BY TELEPHONE SERVICE AVAILABLE BY AGE OF HOUSEHOLDER [35]

Universe: Occupied housing units

Total:

Owner occupied:

With telephone service available:

Householder 15 to 24 years

Householder 25 to 34 years

Householder 35 to 44 years

Householder 45 to 54 years

Householder 55 to 64 years

Householder 65 to 74 years

Householder 75 years and over

No telephone service available:

(Repeat AGE OF HOUSEHOLDER)

Renter occupied:

(Repeat TELEPHONE SERVICE AVAILABLE BY AGE OF HOUSEHOLDER)

HCT32. TENURE BY VEHICLES AVAILABLE [15]

Universe: Occupied housing units

Total:

Owner occupied:

No vehicle available

1 vehicle available

2 vehicles available

3 vehicles available

4 vehicles available

5 or more vehicles available

Renter occupied:

(Repeat VEHICLES AVAILABLE)

HCT33. TENURE BY VEHICLES AVAILABLE BY AGE OF HOUSEHOLDER [35]

Universe: Occupied housing units

Total:

Owner occupied:

No vehicle available:

Householder 15 to 24 years

Householder 25 to 34 years

Householder 35 to 44 years

Householder 45 to 54 years

Householder 55 to 64 years

Householder 65 to 74 years

Householder 75 years and over

1 or more vehicles available:

(Repeat AGE OF HOUSEHOLDER)

Renter occupied:

(Repeat VEHICLES AVAILABLE BY AGE OF HOUSEHOLDER)

HCT34. AGGREGATE NUMBER OF VEHICLES AVAILABLE BY TENURE [3]

Universe: Occupied housing units

Aggregate number of vehicles available:

Owner occupied

Renter occupied

6–92 Summary Table Outlines

U.S. Census Bureau, Census 2000
Household Income in 1999

HCT35. TENURE BY HOUSEHOLD INCOME IN 1999 [25]

Universe: Occupied housing units

Total:

Owner occupied:

Less than $5,000

$5,000 to $9,999

$10,000 to $14,999

$15,000 to $19,999

$20,000 to $24,999

$25,000 to $34,999

$35,000 to $49,999

$50,000 to $74,999

$75,000 to $99,999

$100,000 to $149,999

$150,000 or more

Renter occupied:

(Repeat HOUSEHOLD INCOME IN 1999)

HCT36. MEDIAN HOUSEHOLD INCOME IN 1999 (DOLLARS) BY TENURE [3]

Universe: Occupied housing units

Median household income in 1999—

Total

Owner occupied

Renter occupied

HCT37. AGGREGATE HOUSEHOLD INCOME IN 1999 (DOLLARS) BY TENURE AND

MORTGAGE STATUS [5]

Universe: Occupied housing units

Aggregate household income in 1999:

Owner occupied:

Housing units with a mortgage

Housing units without a mortgage

Renter occupied

HCT38. AGGREGATE HOUSEHOLD INCOME IN 1999 (DOLLARS) BY TENURE BY AGE OF

HOUSEHOLDER BY UNITS IN STRUCTURE [51]

Universe: Occupied housing units

Aggregate household income in 1999:

Owner occupied:

Householder 15 to 34 years:

1, detached or attached

2 to 4

5 to 19

20 to 49

50 or more

Mobile home

Boat, RV, van, etc.

Householder 35 to 64 years:

(Repeat UNITS IN STRUCTURE)

Householder 65 years and over:

(Repeat UNITS IN STRUCTURE)

Renter occupied:

(Repeat AGE OF HOUSEHOLDER BY UNITS IN STRUCTURE)

Summary Table Outlines 6–93

U.S. Census Bureau, Census 2000
HCT39. AGGREGATE HOUSEHOLD INCOME IN 1999 (DOLLARS) BY TENURE BY AGE OF

HOUSEHOLDER BY YEAR STRUCTURE BUILT [63]

Universe: Occupied housing units

Aggregate household income in 1999:

Owner occupied:

Householder 15 to 34 years:

Built 1999 to March 2000

Built 1995 to 1998

Built 1990 to 1994

Built 1980 to 1989

Built 1970 to 1979

Built 1960 to 1969

Built 1950 to 1959

Built 1940 to 1949

Built 1939 or earlier

Householder 35 to 64 years:

(Repeat YEAR STRUCTURE BUILT)

Householder 65 years and over:

(Repeat YEAR STRUCTURE BUILT)

Renter occupied:

(Repeat AGE OF HOUSEHOLDER BY YEAR STRUCTURE BUILT)

HCT40. AGGREGATE HOUSEHOLD INCOME IN 1999 (DOLLARS) BY TENURE BY AGE OF

HOUSEHOLDER BY YEAR HOUSEHOLDER MOVED INTO UNIT [45]

Universe: Occupied housing units

Aggregate household income in 1999:

Owner occupied:

Householder 15 to 34 years:

Moved in 1999 to March 2000

Moved in 1995 to 1998

Moved in 1990 to 1994

Moved in 1980 to 1989

Moved in 1970 to 1979

Moved in 1969 or earlier

Householder 35 to 64 years:

(Repeat YEAR HOUSEHOLDER MOVED INTO UNIT)

Householder 65 years and over:

(Repeat YEAR HOUSEHOLDER MOVED INTO UNIT)

Renter occupied:

(Repeat AGE OF HOUSEHOLDER BY YEAR MOVED INTO UNIT)

Plumbing Facilities

HCT41. TENURE BY PLUMBING FACILITIES [7]

Universe: Occupied housing units

Total:

Owner occupied:

Complete plumbing facilities

Lacking complete plumbing facilities

Renter occupied:

(Repeat PLUMBING FACILITIES)

6–94 Summary Table Outlines

U.S. Census Bureau, Census 2000
HCT42. PLUMBING FACILITIES BY OCCUPANTS PER ROOM BY YEAR STRUCTURE BUILT

[43]

Universe: Occupied housing units

Total:

Complete plumbing facilities:

1.00 or less occupants per room:

Built 1999 to March 2000

Built 1995 to 1998

Built 1990 to 1994

Built 1980 to 1989

Built 1970 to 1979

Built 1960 to 1969

Built 1950 to 1959

Built 1940 to 1949

Built 1939 or earlier

1.01 or more occupants per room:

(Repeat YEAR STRUCTURE BUILT)

Lacking complete plumbing facilities:

(Repeat OCCUPANTS PER ROOM BY YEAR STRUCTURE BUILT)

Kitchen Facilities

HCT43. TENURE BY KITCHEN FACILITIES [7]

Universe: Occupied housing units

Total:

Owner occupied:

Complete kitchen facilities

Lacking complete kitchen facilities

Renter occupied:

(Repeat KITCHEN FACILITIES)

HCT44. KITCHEN FACILITIES BY MEALS INCLUDED IN RENT [7]

Universe: Specified renter-occupied housing units paying cash rent

Total:

Complete kitchen facilities:

Meals included in rent

No meals included in rent

Lacking complete kitchen facilities:

(Repeat MEALS INCLUDED IN RENT)

Rent (Contract and Gross)

HCT45. AGE OF HOUSEHOLDER BY MEALS INCLUDED IN RENT [13]

Universe: Specified renter-occupied housing units paying cash rent

Total:

Householder 15 to 54 years:

Meals included in rent

No meals included in rent

Householder 55 to 64 years:

(Repeat MEALS INCLUDED IN RENT)

Householder 65 to 74 years:

(Repeat MEALS INCLUDED IN RENT)

Householder 75 years and over:

(Repeat MEALS INCLUDED IN RENT)

Summary Table Outlines 6–95

U.S. Census Bureau, Census 2000
HCT46. CONTRACT RENT [24]

Universe: Specified renter-occupied housing units

Total:

With cash rent:

Less than $100

$100 to $149

$150 to $199

$200 to $249

$250 to $299

$300 to $349

$350 to $399

$400 to $449

$450 to $499

$500 to $549

$550 to $599

$600 to $649

$650 to $699

$700 to $749

$750 to $799

$800 to $899

$900 to $999

$1,000 to $1,249

$1,250 to $1,499

$1,500 to $1,999

$2,000 or more

No cash rent

HCT47. LOWER CONTRACT RENT QUARTILE (DOLLARS) [1]

Universe: Specified renter-occupied housing units paying cash rent

Lower contract rent quartile

HCT48. MEDIAN CONTRACT RENT (DOLLARS) [1]

Universe: Specified renter-occupied housing units paying cash rent

Median contract rent

HCT49. UPPER CONTRACT RENT QUARTILE (DOLLARS) [1]

Universe: Specified renter-occupied housing units paying cash rent

Upper contract rent quartile

HCT50. AGGREGATE CONTRACT RENT (DOLLARS) [1]

Universe: Specified renter-occupied housing units paying cash rent

Aggregate contract rent

6–96 Summary Table Outlines

U.S. Census Bureau, Census 2000
HCT51. GROSS RENT [24]

Universe: Specified renter-occupied housing units

Total:

With cash rent:

Less than $100

$100 to $149

$150 to $199

$200 to $249

$250 to $299

$300 to $349

$350 to $399

$400 to $449

$450 to $499

$500 to $549

$550 to $599

$600 to $649

$650 to $699

$700 to $749

$750 to $799

$800 to $899

$900 to $999

$1,000 to $1,249

$1,250 to $1,499

$1,500 to $1,999

$2,000 or more

No cash rent

HCT52. MEDIAN GROSS RENT (DOLLARS) [1]

Universe: Specified renter-occupied housing units paying cash rent

Median gross rent

HCT53. AGGREGATE GROSS RENT (DOLLARS) [1]

Universe: Specified renter-occupied housing units paying cash rent

Aggregate gross rent

HCT54. AGGREGATE GROSS RENT (DOLLARS) BY MEALS INCLUDED IN RENT [3]

Universe: Specified renter-occupied housing units paying cash rent

Aggregate gross rent:

Meals included in rent

No meals included in rent

HCT55. AGGREGATE GROSS RENT (DOLLARS) BY UNITS IN STRUCTURE [8]

Universe: Specified renter-occupied housing units paying cash rent

Aggregate gross rent:

1, detached or attached

2 to 4

5 to 19

20 to 49

50 or more

Mobile home

Boat, RV, van, etc.

Summary Table Outlines 6–97

U.S. Census Bureau, Census 2000
HCT56. HOUSEHOLD INCOME IN 1999 BY GROSS RENT [120]

Universe: Specified renter-occupied housing units

Total:

Household income in 1999—

Less than $10,000:

With cash rent:

Less than $100

$100 to $199

$200 to $299

$300 to $399

$400 to $499

$500 to $599

$600 to $699

$700 to $799

$800 to $899

$900 to $999

$1,000 to $1,249

$1,250 to $1,499

$1,500 to $1,999

$2,000 or more

No cash rent

$10,000 to $19,999:

(Repeat GROSS RENT)

$20,000 to $34,999:

(Repeat GROSS RENT)

$35,000 to $49,999:

(Repeat GROSS RENT)

$50,000 to $74,999:

(Repeat GROSS RENT)

$75,000 to $99,999:

(Repeat GROSS RENT)

$100,000 or more:

(Repeat GROSS RENT)

HCT57. BEDROOMS BY GROSS RENT [37]

Universe: Specified renter-occupied housing units

Total:

No bedroom:

With cash rent:

Less than $200

$200 to $299

$300 to $499

$500 to $749

$750 to $999

$1,000 or more

No cash rent

1 bedroom:

(Repeat GROSS RENT)

2 bedrooms:

(Repeat GROSS RENT)

3 or more bedrooms:

(Repeat GROSS RENT)

6–98 Summary Table Outlines

U.S. Census Bureau, Census 2000
HCT58. INCLUSION OF UTILITIES IN RENT [3]

Universe: Specified renter-occupied housing units

Total:

Pay extra for one or more utilities

No extra payment for any utilities

Gross Rent as a Percentage of Household Income in 1999

HCT59. GROSS RENT AS A PERCENTAGE OF HOUSEHOLD INCOME IN 1999 [11]

Universe: Specified renter-occupied housing units

Total:

Less than 10 percent

10 to 14 percent

15 to 19 percent

20 to 24 percent

25 to 29 percent

30 to 34 percent

35 to 39 percent

40 to 49 percent

50 percent or more

Not computed

HCT60. MEDIAN GROSS RENT AS A PERCENTAGE OF HOUSEHOLD INCOME IN 1999 [1]

(1 expressed decimal)

Universe: Specified renter-occupied housing units paying cash rent

Median gross rent as a percentage of household income in 1999

HCT61. AGE OF HOUSEHOLDER BY GROSS RENT AS A PERCENTAGE OF HOUSEHOLD

INCOME IN 1999 [50]

Universe: Specified renter-occupied housing units

Total:

Householder 15 to 24 years:

Less than 20 percent

20 to 24 percent

25 to 29 percent

30 to 34 percent

35 percent or more

Not computed

Householder 25 to 34 years:

(Repeat GROSS RENT AS A PERCENTAGE OF HOUSEHOLD INCOME IN 1999)

Householder 35 to 44 years:

(Repeat GROSS RENT AS A PERCENTAGE OF HOUSEHOLD INCOME IN 1999)

Householder 45 to 54 years:

(Repeat GROSS RENT AS A PERCENTAGE OF HOUSEHOLD INCOME IN 1999)

Householder 55 to 64 years:

(Repeat GROSS RENT AS A PERCENTAGE OF HOUSEHOLD INCOME IN 1999)

Householder 65 to 74 years:

(Repeat GROSS RENT AS A PERCENTAGE OF HOUSEHOLD INCOME IN 1999)

Householder 75 years and over:

(Repeat GROSS RENT AS A PERCENTAGE OF HOUSEHOLD INCOME IN 1999)

Summary Table Outlines 6–99

U.S. Census Bureau, Census 2000
HCT62. UNITS IN STRUCTURE BY GROSS RENT AS A PERCENTAGE OF HOUSEHOLD

INCOME IN 1999 [50]

Universe: Specified renter-occupied housing units

Total:

1, detached or attached:

Less than 20 percent

20 to 24 percent

25 to 29 percent

30 to 34 percent

35 percent or more

Not computed

2 to 4:

(Repeat GROSS RENT AS A PERCENTAGE OF HOUSEHOLD INCOME IN 1999)

5 to 19:

(Repeat GROSS RENT AS A PERCENTAGE OF HOUSEHOLD INCOME IN 1999)

20 to 49:

(Repeat GROSS RENT AS A PERCENTAGE OF HOUSEHOLD INCOME IN 1999)

50 or more:

(Repeat GROSS RENT AS A PERCENTAGE OF HOUSEHOLD INCOME IN 1999)

Mobile home:

(Repeat GROSS RENT AS A PERCENTAGE OF HOUSEHOLD INCOME IN 1999)

Boat, RV, van, etc.:

(Repeat GROSS RENT AS A PERCENTAGE OF HOUSEHOLD INCOME IN 1999)

HCT63. HOUSEHOLD INCOME IN 1999 BY GROSS RENT AS A PERCENTAGE OF

HOUSEHOLD INCOME IN 1999 [50]

Universe: Specified renter-occupied housing units

Total:

Less than $10,000:

Less than 20 percent

20 to 24 percent

25 to 29 percent

30 to 34 percent

35 percent or more

Not computed

$10,000 to $19,999:

(Repeat GROSS RENT AS A PERCENTAGE OF HOUSEHOLD INCOME IN 1999)

$20,000 to $34,999:

(Repeat GROSS RENT AS A PERCENTAGE OF HOUSEHOLD INCOME IN 1999)

$35,000 to $49,999:

(Repeat GROSS RENT AS A PERCENTAGE OF HOUSEHOLD INCOME IN 1999)

$50,000 to $74,999:

(Repeat GROSS RENT AS A PERCENTAGE OF HOUSEHOLD INCOME IN 1999)

$75,000 to $99,999:

(Repeat GROSS RENT AS A PERCENTAGE OF HOUSEHOLD INCOME IN 1999)

$100,000 or more:

(Repeat GROSS RENT AS A PERCENTAGE OF HOUSEHOLD INCOME IN 1999)

6–100 Summary Table Outlines

U.S. Census Bureau, Census 2000
Value

HCT64. VALUE FOR SPECIFIED OWNER-OCCUPIED HOUSING UNITS [25]

Universe: Specified owner-occupied housing units

Total:

Less than $10,000

$10,000 to $14,999

$15,000 to $19,999

$20,000 to $24,999

$25,000 to $29,999

$30,000 to $34,999

$35,000 to $39,999

$40,000 to $49,999

$50,000 to $59,999

$60,000 to $69,999

$70,000 to $79,999

$80,000 to $89,999

$90,000 to $99,999

$100,000 to $124,999

$125,000 to $149,999

$150,000 to $174,999

$175,000 to $199,999

$200,000 to $249,999

$250,000 to $299,999

$300,000 to $399,999

$400,000 to $499,999

$500,000 to $749,999

$750,000 to $999,999

$1,000,000 or more

HCT65. LOWER VALUE QUARTILE (DOLLARS) FOR SPECIFIED OWNER-OCCUPIED

HOUSING UNITS [1]

Universe: Specified owner-occupied housing units

Lower value quartile

HCT66. MEDIAN VALUE (DOLLARS) FOR SPECIFIED OWNER-OCCUPIED HOUSING UNITS

[1]

Universe: Specified owner-occupied housing units

Median value

HCT67. UPPER VALUE QUARTILE (DOLLARS) FOR SPECIFIED OWNER-OCCUPIED

HOUSING UNITS [1]

Universe: Specified owner-occupied housing units

Upper value quartile

HCT68. MEDIAN VALUE (DOLLARS) FOR MOBILE HOMES [1]

Universe: Owner-occupied mobile homes

Median value

Summary Table Outlines 6–101

U.S. Census Bureau, Census 2000
HCT69. AGGREGATE VALUE (DOLLARS) FOR SPECIFIED OWNER-OCCUPIED HOUSING

UNITS BY AGE OF HOUSEHOLDER [8]

Universe: Specified owner-occupied housing units

Aggregate value:

Householder 15 to 24 years

Householder 25 to 34 years

Householder 35 to 44 years

Householder 45 to 54 years

Householder 55 to 64 years

Householder 65 to 74 years

Householder 75 years and over

HCT70. AGGREGATE VALUE (DOLLARS) FOR ALL OWNER-OCCUPIED HOUSING UNITS BY

UNITS IN STRUCTURE [8]

Universe: Owner-occupied housing units

Aggregate value:

1, detached

1, attached

2

3 or 4

5 or more

Mobile home

Boat, RV, van, etc.

HCT71. HOUSEHOLD INCOME IN 1999 BY VALUE FOR SPECIFIED OWNER-OCCUPIED

HOUSING UNITS [106]

Universe: Specified owner-occupied housing units

Total:

Household income in 1999—

Less than $10,000:

Value less than $10,000

Value $10,000 to $19,999

Value $20,000 to $29,999

Value $30,000 to $39,999

Value $40,000 to $49,999

Value $50,000 to $59,999

Value $60,000 to $69,999

Value $70,000 to $79,999

Value $80,000 to $89,999

Value $90,000 to $99,999

Value $100,000 to $199,999

Value $200,000 to $299,999

Value $300,000 to $499,999

Value $500,000 or more

$10,000 to $19,999:

(Repeat VALUE FOR SPECIFIED OWNER-OCCUPIED HOUSING UNITS)

$20,000 to $34,999:

(Repeat VALUE FOR SPECIFIED OWNER-OCCUPIED HOUSING UNITS)

$35,000 to $49,999:

(Repeat VALUE FOR SPECIFIED OWNER-OCCUPIED HOUSING UNITS)

$50,000 to $74,999:

(Repeat VALUE FOR SPECIFIED OWNER-OCCUPIED HOUSING UNITS)

$75,000 to $99,999:

(Repeat VALUE FOR SPECIFIED OWNER-OCCUPIED HOUSING UNITS)

$100,000 or more:

(Repeat VALUE FOR SPECIFIED OWNER-OCCUPIED HOUSING UNITS)

6–102 Summary Table Outlines

U.S. Census Bureau, Census 2000
HCT72. MORTGAGE STATUS [8]

Universe: Specified owner-occupied housing units

Total:

Housing units with a mortgage, contract to purchase, or similar debt:

With either a second mortgage or home equity loan, but not both:

Second mortgage only

Home equity loan only

Both second mortgage and home equity loan

No second mortgage and no home equity loan

Housing units without a mortgage

HCT73. AGGREGATE VALUE (DOLLARS) FOR SPECIFIED OWNER-OCCUPIED HOUSING

UNITS BY MORTGAGE STATUS [3]

Universe: Specified owner-occupied housing units

Aggregate value:

Housing units with a mortgage

Housing units without a mortgage

HCT74. AGGREGATE VALUE (DOLLARS) FOR MOBILE HOMES BY MORTGAGE STATUS [3]

Universe: Owner-occupied mobile homes

Aggregate value:

Mobile homes with a mortgage

Mobile homes without a mortgage

Mortgage Status and Selected Monthly Owner Costs

HCT75. MORTGAGE STATUS AND SELECTED MONTHLY OWNER COSTS FOR SPECIFIED

OWNER-OCCUPIED HOUSING UNITS [32]

Universe: Specified owner-occupied housing units

Total:

Housing units with a mortgage:

Less than $200

$200 to $299

$300 to $399

$400 to $499

$500 to $599

$600 to $699

$700 to $799

$800 to $899

$900 to $999

$1,000 to $1,249

$1,250 to $1,499

$1,500 to $1,999

$2,000 to $2,499

$2,500 to $2,999

$3,000 or more

Housing units without a mortgage:

Less than $100

$100 to $149

$150 to $199

$200 to $249

$250 to $299

$300 to $349

$350 to $399

$400 to $499

Summary Table Outlines 6–103

U.S. Census Bureau, Census 2000
HCT75. MORTGAGE STATUS AND SELECTED MONTHLY OWNER COSTS FOR SPECIFIED

OWNER-OCCUPIED HOUSING UNITS [32]—Con.

Total—Con.

Housing units without a mortgage—Con.

$500 to $599

$600 to $699

$700 to $799

$800 to $899

$900 to $999

$1,000 or more

HCT76. MEDIAN SELECTED MONTHLY OWNER COSTS (DOLLARS) FOR SPECIFIED

OWNER-OCCUPIED HOUSING UNITS BY MORTGAGE STATUS [2]

Universe: Specified owner-occupied housing units

Median selected monthly owner costs for—

Housing units with a mortgage

Housing units without a mortgage

HCT77. AGGREGATE SELECTED MONTHLY OWNER COSTS (DOLLARS) FOR SPECIFIED

OWNER-OCCUPIED HOUSING UNITS BY MORTGAGE STATUS [3]

Universe: Specified owner-occupied housing units

Aggregate selected monthly owner costs:

Housing units with a mortgage

Housing units without a mortgage

HCT78. AGGREGATE SELECTED MONTHLY OWNER COSTS (DOLLARS) FOR MOBILE

HOMES BY MORTGAGE STATUS [3]

Universe: Owner-occupied mobile homes

Aggregate selected monthly owner costs:

Mobile homes with a mortgage

Mobile homes without a mortgage

HCT79. MORTGAGE STATUS BY SELECTED MONTHLY OWNER COSTS AS A PERCENTAGE

OF HOUSEHOLD INCOME IN 1999 [23]

Universe: Specified owner-occupied housing units

Total:

Housing units with a mortgage:

Less than 10 percent

10 to 14 percent

15 to 19 percent

20 to 24 percent

25 to 29 percent

30 to 34 percent

35 to 39 percent

40 to 49 percent

50 percent or more

Not computed

Housing units without a mortgage:

(Repeat SELECTED MONTHLY OWNER COSTS AS A PERCENTAGE OF HOUSEHOLD INCOME

IN 1999)

6–104 Summary Table Outlines

U.S. Census Bureau, Census 2000
HCT80. MEDIAN SELECTED MONTHLY OWNER COSTS AS A PERCENTAGE OF

HOUSEHOLD INCOME IN 1999 AND MORTGAGE STATUS [3]

(1 expressed decimal)

Universe: Specified owner-occupied housing units

Median selected monthly owner costs as a percentage of household income in 1999

Total

Housing units with a mortgage

Housing units without a mortgage

HCT81. AGE OF HOUSEHOLDER BY SELECTED MONTHLY OWNER COSTS AS A

PERCENTAGE OF HOUSEHOLD INCOME IN 1999 [50]

Universe: Specified owner-occupied housing units

Total:

Householder 15 to 24 years:

Less than 20 percent

20 to 24 percent

25 to 29 percent

30 to 34 percent

35 percent or more

Not computed

Householder 25 to 34 years:

(Repeat SELECTED MONTHLY OWNER COSTS AS A PERCENTAGE OF HOUSEHOLD INCOME

IN 1999)

Householder 35 to 44 years:

(Repeat SELECTED MONTHLY OWNER COSTS AS A PERCENTAGE OF HOUSEHOLD INCOME

IN 1999)

Householder 45 to 54 years:

(Repeat SELECTED MONTHLY OWNER COSTS AS A PERCENTAGE OF HOUSEHOLD INCOME

IN 1999)

Householder 55 to 64 years:

(Repeat SELECTED MONTHLY OWNER COSTS AS A PERCENTAGE OF HOUSEHOLD INCOME

IN 1999)

Householder 65 to 74 years:

(Repeat SELECTED MONTHLY OWNER COSTS AS A PERCENTAGE OF HOUSEHOLD INCOME

IN 1999)

Householder 75 years and over:

(Repeat SELECTED MONTHLY OWNER COSTS AS A PERCENTAGE OF HOUSEHOLD INCOME

IN 1999)

HCT82. HOUSEHOLD INCOME IN 1999 BY SELECTED MONTHLY OWNER COSTS AS A

PERCENTAGE OF HOUSEHOLD INCOME IN 1999 [57]

Universe: Specified owner-occupied housing units

Total:

Less than $10,000:

Less than 20 percent

20 to 24 percent

25 to 29 percent

30 to 34 percent

35 percent or more

Not computed

Summary Table Outlines 6–105

U.S. Census Bureau, Census 2000
HCT82. HOUSEHOLD INCOME IN 1999 BY SELECTED MONTHLY OWNER COSTS AS A

PERCENTAGE OF HOUSEHOLD INCOME IN 1999 [57]—Con.

Total—Con.

$10,000 to $19,999:

(Repeat SELECTED MONTHLY OWNER COSTS AS A PERCENTAGE OF HOUSEHOLD INCOME

IN 1999)

$20,000 to $34,999:

(Repeat SELECTED MONTHLY OWNER COSTS AS A PERCENTAGE OF HOUSEHOLD INCOME

IN 1999)

$35,000 to $49,999:

(Repeat SELECTED MONTHLY OWNER COSTS AS A PERCENTAGE OF HOUSEHOLD INCOME

IN 1999)

$50,000 to $74,999:

(Repeat SELECTED MONTHLY OWNER COSTS AS A PERCENTAGE OF HOUSEHOLD INCOME

IN 1999)

$75,000 to $99,999:

(Repeat SELECTED MONTHLY OWNER COSTS AS A PERCENTAGE OF HOUSEHOLD INCOME

IN 1999)

$100,000 to $149,999:

(Repeat SELECTED MONTHLY OWNER COSTS AS A PERCENTAGE OF HOUSEHOLD INCOME

IN 1999)

$150,000 or more:

(Repeat SELECTED MONTHLY OWNER COSTS AS A PERCENTAGE OF HOUSEHOLD INCOME

IN 1999)

Age of Householder

HCT83. TENURE BY AGE OF HOUSEHOLDER BY YEAR STRUCTURE BUILT [143]

Universe: Occupied housing units

Total:

Owner occupied:

Householder 15 to 24 years:

Built 1999 to March 2000

Built 1995 to 1998

Built 1990 to 1994

Built 1980 to 1989

Built 1970 to 1979

Built 1960 to 1969

Built 1950 to 1959

Built 1940 to 1949

Built 1939 or earlier

Householder 25 to 34 years:

(Repeat YEAR STRUCTURE BUILT)

Householder 35 to 44 years:

(Repeat YEAR STRUCTURE BUILT)

Householder 45 to 54 years:

(Repeat YEAR STRUCTURE BUILT)

Householder 55 to 64 years:

(Repeat YEAR STRUCTURE BUILT)

Householder 65 to 74 years:

(Repeat YEAR STRUCTURE BUILT)

Householder 75 years and over:

(Repeat YEAR STRUCTURE BUILT)

Renter occupied:

(Repeat AGE OF HOUSEHOLDER BY YEAR STRUCTURE BUILT)

6–106 Summary Table Outlines

U.S. Census Bureau, Census 2000
Real Estate Taxes

HCT84. REAL ESTATE TAXES [16]

Universe: Specified owner-occupied housing units

Total:

Less than $200

$200 to $299

$300 to $399

$400 to $599

$600 to $799

$800 to $999

$1,000 to $1,499

$1,500 to $1,999

$2,000 to $2,999

$3,000 to $3,999

$4,000 to $4,999

$5,000 to $7,499

$7,500 to $9,999

$10,000 or more

No real estate taxes paid

HCT85. MEDIAN REAL ESTATE TAXES (DOLLARS) [1]

Universe: Specified owner-occupied housing units

Median real estate taxes

HCT86. AGGREGATE REAL ESTATE TAXES (DOLLARS) [1]

Universe: Specified owner-occupied housing units

Aggregate real estate taxes

Poverty Status in 1999

HCT87. TENURE BY POVERTY STATUS IN 1999 BY PLUMBING FACILITIES BY

OCCUPANTS PER ROOM [39]

Universe: Occupied housing units

Total:

Owner occupied:

Income in 1999 below poverty level:

Complete plumbing facilities:

1.00 or less occupants per room

1.01 to 1.50 occupants per room

1.51 or more occupants per room

Lacking complete plumbing facilities:

(Repeat OCCUPANTS PER ROOM)

Income in 1999 at or above poverty level:

(Repeat PLUMBING FACILITIES BY OCCUPANTS PER ROOM)

Renter occupied:

(Repeat POVERTY STATUS IN 1999 BY PLUMBING FACILITIES BY OCCUPANTS PER ROOM)

Summary Table Outlines 6–107

U.S. Census Bureau, Census 2000
HCT88. TENURE BY POVERTY STATUS IN 1999 BY YEAR STRUCTURE BUILT [43]

Universe: Occupied housing units

Total:

Owner occupied:

Income in 1999 below poverty level:

Built 1999 to March 2000

Built 1995 to 1998

Built 1990 to 1994

Built 1980 to 1989

Built 1970 to 1979

Built 1960 to 1969

Built 1950 to 1959

Built 1940 to 1949

Built 1939 or earlier

Income in 1999 at or above poverty level:

(Repeat YEAR STRUCTURE BUILT)

Renter occupied:

(Repeat POVERTY STATUS IN 1999 BY YEAR STRUCTURE BUILT)

HCT89. TENURE BY POVERTY STATUS IN 1999 BY AGE OF HOUSEHOLDER [43]

Universe: Occupied housing units

Total:

Owner occupied:

Income in 1999 below poverty level:

Householder 15 to 24 years

Householder 25 to 34 years

Householder 35 to 44 years

Householder 45 to 54 years

Householder 55 to 59 years

Householder 60 to 64 years

Householder 65 to 74 years

Householder 75 to 84 years

Householder 85 years and over

Income in 1999 at or above poverty level:

(Repeat AGE OF HOUSEHOLDER)

Renter occupied:

(Repeat POVERTY STATUS IN 1999 BY AGE OF HOUSEHOLDER)

HCT90. TENURE BY POVERTY STATUS IN 1999 BY RECEIPT OF PUBLIC ASSISTANCE

INCOME IN 1999 [15]

Universe: Occupied housing units

Total:

Owner occupied:

Income in 1999 below poverty level:

With public assistance income

No public assistance income

Income in 1999 at or above poverty level:

(Repeat RECEIPT OF PUBLIC ASSISTANCE INCOME IN 1999)

Renter occupied:

(Repeat POVERTY STATUS IN 1999 BY RECEIPT OF PUBLIC ASSISTANCE INCOME IN 1999)

6–108 Summary Table Outlines

U.S. Census Bureau, Census 2000
HCT91. TENURE BY POVERTY STATUS IN 1999 BY RECEIPT OF SOCIAL SECURITY

INCOME IN 1999 [15]

Universe: Occupied housing units

Total:

Owner occupied:

Income in 1999 below poverty level:

With Social Security income

No Social Security income

Income in 1999 at or above poverty level:

(Repeat RECEIPT OF SOCIAL SECURITY INCOME IN 1999)

Renter occupied:

(Repeat POVERTY STATUS IN 1999 BY RECEIPT OF SOCIAL SECURITY INCOME IN 1999)

HCT92. TENURE BY POVERTY STATUS IN 1999 BY TELEPHONE SERVICE AVAILABLE [15]

Universe: Occupied housing units

Total:

Owner occupied:

Income in 1999 below poverty level:

With telephone service available

No telephone service available

Income in 1999 at or above poverty level:

(Repeat TELEPHONE SERVICE AVAILABLE)

Renter occupied:

(Repeat POVERTY STATUS IN 1999 BY TELEPHONE SERVICE AVAILABLE)

Selected Physical and Financial Conditions

HCT93. TENURE BY SELECTED PHYSICAL AND FINANCIAL CONDITIONS [13]

Universe: Occupied housing units

Total:

Owner occupied:

With one selected condition

With two selected conditions

With three selected conditions

With four selected conditions

No selected conditions

Renter occupied:

(Repeat SELECTED PHYSICAL AND FINANCIAL CONDITIONS)

HCT94. IMPUTATION OF TENURE [3]

Universe: Occupied housing units

Total:

Imputed

Not imputed

HCT95. IMPUTATION OF ROOMS [3]

Universe: Occupied housing units

Total:

Imputed

Not imputed

HCT96. IMPUTATION OF UNITS IN STRUCTURE [3]

Universe: Occupied housing units

Total:

Imputed

Not imputed

Summary Table Outlines 6–109

U.S. Census Bureau, Census 2000
HCT97. IMPUTATION OF YEAR STRUCTURE BUILT [3]

Universe: Occupied housing units

Total:

Imputed

Not imputed

HCT98. IMPUTATION OF YEAR HOUSEHOLDER MOVED INTO UNIT [3]

Universe: Occupied housing units

Total:

Imputed

Not imputed

HCT99. IMPUTATION OF HOUSE HEATING FUEL [3]

Universe: Occupied housing units

Total:

Imputed

Not imputed

HCT100. IMPUTATION OF BEDROOMS [3]

Universe: Occupied housing units

Total:

Imputed

Not imputed

HCT101. IMPUTATION OF TELEPHONE SERVICE AVAILABLE [3]

Universe: Occupied housing units

Total:

Imputed

Not imputed

HCT102. IMPUTATION OF VEHICLES AVAILABLE [3]

Universe: Occupied housing units

Total:

Imputed

Not imputed

HCT103. IMPUTATION OF PLUMBING FACILITIES [3]

Universe: Occupied housing units

Total:

Imputed

Not imputed

HCT104. IMPUTATION OF KITCHEN FACILITIES [3]

Universe: Occupied housing units

Total:

Imputed

Not imputed

HCT105. IMPUTATION OF MEALS INCLUDED IN RENT [3]

Universe: Specified renter-occupied housing units paying cash rent

Total:

Imputed

Not imputed

6–110 Summary Table Outlines

U.S. Census Bureau, Census 2000
HCT106. IMPUTATION OF CONTRACT RENT [3]

Universe: Specified renter-occupied housing units

Total:

Imputed

Not imputed

HCT107. IMPUTATION OF GROSS RENT [3]

Universe: Specified renter-occupied housing units

Total:

One or more items imputed

No items imputed

HCT108. IMPUTATION OF VALUE FOR SPECIFIED OWNER-OCCUPIED HOUSING UNITS [3]

Universe: Specified owner-occupied housing units

Total:

Imputed

Not imputed

HCT109. IMPUTATION OF MORTGAGE STATUS [3]

Universe: Specified owner-occupied housing units

Total:

Imputed

Not imputed

HCT110. IMPUTATION OF MORTGAGE STATUS AND SELECTED MONTHLY OWNER

COSTS FOR SPECIFIED OWNER-OCCUPIED HOUSING UNITS [7]

Universe: Specified owner-occupied housing units

Total:

Housing units with a mortgage:

Selected monthly owner costs—

One or more items imputed

No items imputed

Housing units without a mortgage:

Selected monthly owner costs—

One or more items imputed

No items imputed

Summary Table Outlines 6–111

U.S. Census Bureau, Census 2000
Chapter 7.

Data Dictionary

CONTENTS

Page

Identification Section............................................................................ 7–1

Record Codes.................................................................................. 7–1

Geographic Area Codes ....................................................................... 7–2

Area Characteristics........................................................................... 7–13

Special Area Codes ............................................................................ 7–14

Footnote Section................................................................................. 7–15

Table (Matrix) Section ........................................................................... 7–25

IDENTIFICATION SECTION

Field name Data dictionary

reference name

Field

size

Starting

position

Data

type

NOTE: The filling of codes and data attributes in the files is specific to summary level; not all

fields are filled for every summary level. Where a code or attribute is specified, the actual value is

assigned to the field except for the use of three special codes:

Assignment of codes of nine (9) indicates a balance record or that the entity or attribute

does not exist for this record.

Assignment of pound signs (#) indicates that more than one value exists for this field and,

thus, no specific value can be assigned.

Assignment of exclamation marks (!) indicates that this value has not yet been determined

for this file.

Record Codes

File Identification1 FILEID 6 1 A/N

State/U.S.-Abbreviation (USPS) STUSAB 2 7 A

AK Alaska

AL Alabama

AR Arkansas

AS American Samoa

AZ Arizona

CA California

CO Colorado

CT Connecticut

DC District of Columbia

DE Delaware

FL Florida

GA Georgia

GU Guam

HI Hawaii

IA Iowa

ID Idaho

IL Illinois

IN Indiana

KS Kansas

KY Kentucky

Data Dictionary 7–1

U.S. Census Bureau, Census 2000
Record Codes—Con.

LA Louisiana

MA Massachusetts

MD Maryland

ME Maine

MI Michigan

MN Minnesota

MP Northern Mariana Islands

MO Missouri

MS Mississippi

MT Montana

NC North Carolina

ND North Dakota

NE Nebraska

NH New Hampshire

NJ New Jersey

NM New Mexico

NV Nevada

NY New York

OH Ohio

OK Oklahoma

OR Oregon

PA Pennsylvania

PR Puerto Rico

RI Rhode Island

SC South Carolina

SD South Dakota

TN Tennessee

TX Texas

US United States

UT Utah

VA Virginia

VI Virgin Islands of the United States

VT Vermont

WA Washington

WI Wisconsin

WV West Virginia

WY Wyoming

Summary Level2 SUMLEV 3 9 N

Geographic Component3 GEOCOMP 2 12 A/N

Characteristic Iteration4 CHARITER 3 14 A/N

000 Not a characteristic iteration

(See Appendix H for the full list of possible iterations.)

Characteristic Iteration File Sequence Number CIFSN 2 17 A/N

Logical Record Number5 LOGRECNO 7 19 N

Geographic Area Codes

Region6 REGION 1 26 A/N

1 Northeast

2 Midwest

3 South

4 West

9 Not in a region (Puerto Rico, American Samoa, Guam, Northern Mariana Islands, Virgin

Islands of the United States)

7–2 Data Dictionary

U.S. Census Bureau, Census 2000
Geographic Area Codes—Con.

Division6 DIVISION 1 27 A/N

0 Not in a division (Puerto Rico, American Samoa, Guam, Northern Mariana Islands, Virgin

Islands of the United States)

1 New England

2 Middle Atlantic

3 East North Central

4 West North Central

5 South Atlantic

6 East South Central

7 West South Central

8 Mountain

9 Pacific

State (Census)6 STATECE 2 28 A/N

01 Northern Mariana Islands

03 American Samoa

04 Guam

06 Puerto Rico

07 Virgin Islands of the United States

11 Maine

12 New Hampshire

13 Vermont

14 Massachusetts

15 Rhode Island

16 Connecticut

21 New York

22 New Jersey

23 Pennsylvania

31 Ohio

32 Indiana

33 Illinois

34 Michigan

35 Wisconsin

41 Minnesota

42 Iowa

43 Missouri

44 North Dakota

45 South Dakota

46 Nebraska

47 Kansas

51 Delaware

52 Maryland

53 District of Columbia

54 Virginia

55 West Virginia

56 North Carolina

57 South Carolina

58 Georgia

59 Florida

61 Kentucky

62 Tennessee

63 Alabama

64 Mississippi

71 Arkansas

Data Dictionary 7–3

U.S. Census Bureau, Census 2000
Geographic Area Codes—Con.

State (Census)6

—Con.

72 Louisiana

73 Oklahoma

74 Texas

81 Montana

82 Idaho

83 Wyoming

84 Colorado

85 New Mexico

86 Arizona

87 Utah

88 Nevada

91 Washington

92 Oregon

93 California

94 Alaska

95 Hawaii

State (FIPS)6, 7 STATE 2 30 A/N

01 Alabama

02 Alaska

04 Arizona

05 Arkansas

06 California

08 Colorado

09 Connecticut

10 Delaware

11 District of Columbia

12 Florida

13 Georgia

15 Hawaii

16 Idaho

17 Illinois

18 Indiana

19 Iowa

20 Kansas

21 Kentucky

22 Louisiana

23 Maine

24 Maryland

25 Massachusetts

26 Michigan

27 Minnesota

28 Mississippi

29 Missouri

30 Montana

31 Nebraska

32 Nevada

33 New Hampshire

34 New Jersey

35 New Mexico

36 New York

37 North Carolina

38 North Dakota

7–4 Data Dictionary

U.S. Census Bureau, Census 2000
Geographic Area Codes—Con.

State (FIPS)6, 7

—Con.

39 Ohio

40 Oklahoma

41 Oregon

42 Pennsylvania

44 Rhode Island

45 South Carolina

46 South Dakota

47 Tennessee

48 Texas

49 Utah

50 Vermont

51 Virginia

53 Washington

54 West Virginia

55 Wisconsin

56 Wyoming

60 American Samoa

66 Guam

69 Northern Mariana Islands

72 Puerto Rico

78 Virgin Islands of the United States

County6 COUNTY 3 32 A/N

County Size Code COUNTYSC 2 35 A/N

00 Not in universe

01 0

02 1 - 24

03 25 - 99

04 100 - 199

05 200 - 249

06 250 - 299

07 300 - 499

08 500 - 999

09 1,000 - 1,499

10 1,500 - 1,999

11 2,000 - 2,499

12 2,500 - 4,999

13 5,000 - 9,999

14 10,000 - 19,999

15 20,000 - 24,999

16 25,000 - 49,999

17 50,000 - 99,999

18 100,000 - 249,999

19 250,000 - 499,999

20 500,000 - 999,999

21 1,000,000 - 2,499,999

22 2,500,000 - 4,999,999

23 5,000,000 or more

County Subdivision (FIPS)6, 7 COUSUB 5 37 A/N

Data Dictionary 7–5

U.S. Census Bureau, Census 2000
Geographic Area Codes—Con.

FIPS County Subdivision Class Code7 COUSUBCC 2 42 A/N

C2 Incorporated place that also serves as a minor civil division (MCD) equivalent because,

although the place is coextensive with an MCD, the Census Bureau, in agreement with

state officials, does not recognize that MCD for presenting statistical data since the MCD

cannot provide governmental services (Iowa and Ohio only).

C5 Incorporated place that also serves as a minor civil division (MCD) equivalent because it

is not part of any MCD or a county subdivision classified as Z5.

C7 Incorporated place that is an independent city; that is, it also serves as a county equivalent because it is not part of any county, and a minor civil division (MCD) equivalent

because it is not part of any MCD.

T1 Governmentally active minor civil division (MCD) that is not coextensive with an incorporated place.

T5 Governmentally active minor civil division (MCD) that is coextensive with an incorporated

place.

T9 Minor civil division (MCD) whose government is inactive.

Z1 Minor civil division (MCD) that cannot provide general-purpose governmental services.

Z2 American Indian reservation and/or off-reservation trust land area that also serves as a

primary division of a county or statistically equivalent area.

Z3 Unorganized territory identified by the Census Bureau as a minor civil division (MCD)

equivalent for presenting statistical data.

Z5 Census county division (CCD), census subarea (Alaska only), or census subdistrict (U.S.

Virgin Islands only).

Z7 Incorporated place that the Census Bureau treats as a minor civil division (MCD) equivalent because it is not in any MCD or is coextensive with a legally established but nonfunctioning MCD that the Census Bureau does not recognize for statistical data presentation

purposes, AND is located in a state or county whose MCDs cannot provide governmental

services (Iowa, Louisiana, Nebraska, and North Carolina only).

Z9 Pseudo-minor civil division (MCD) that consists of water area not assigned to any legal

MCD.

County Subdivision Size Code COUSUBSC 2 44 A/N

00 Not in universe

01 0

02 1 - 24

03 25 - 99

04 100 - 199

05 200 - 249

06 250 - 299

07 300 - 499

08 500 - 999

09 1,000 - 1,499

10 1,500 - 1,999

11 2,000 - 2,499

12 2,500 - 4,999

13 5,000 - 9,999

14 10,000 - 19,999

15 20,000 - 24,999

16 25,000 - 49,999

7–6 Data Dictionary

U.S. Census Bureau, Census 2000
Geographic Area Codes—Con.

County Subdivision Size Code—Con.

17 50,000 - 99,999

18 100,000 - 249,999

19 250,000 - 499,999

20 500,000 - 999,999

21 1,000,000 - 2,499,999

22 2,500,000 - 4,999,999

23 5,000,000 or more

Place (FIPS)6, 7 PLACE 5 46 A/N

FIPS Place Class Code7 PLACECC 2 51 A/N

C1 Incorporated place that is governmentally active, is not related to an Alaska Native village

statistical area (ANVSA), and does not serve as a minor civil division (MCD) equivalent.

C2 Incorporated place that also serves as a minor civil division (MCD) equivalent because,

although the place is coextensive with an MCD, the Census Bureau, in agreement with

state officials, does not recognize that MCD for presenting statistical data since the MCD

cannot provide governmental services (Iowa and Ohio only).

C5 Incorporated place that also serves as a minor civil division (MCD) equivalent because it

is not part of any MCD or a county subdivision classified as Z5.

C6 Incorporated place that coincides with or approximates an Alaska Native village statistical area (ANVSA).

C7 Incorporated place that is an independent city; that is, it also serves as a county equivalent because it is not part of any county, and a minor civil division (MCD) equivalent

because it is not part of any MCD.

C8 The portion (‘‘balance’’) of a consolidated city that excludes the separately incorporated

place(s) within that jurisdiction.

C9 Incorporated place whose government is operationally inactive or is not included in any

other ‘‘C’’ subclass.

M2 Military or U.S. Coast Guard installation (or part of an installation) that serves as a census

designated place (CDP).

U1 Census designated place (CDP) with a name that is commonly recognized for the populated area and designated as a populated space by the U.S. Geological Survey (USGS).

U2 Census designated place (CDP) with a name that is not commonly recognized for the

populated area (e.g., a combination of the names of two or three commonly recognized

communities, or a name that identifies the location of the CDP in relation to an adjacent

incorporated place).

U9 Census designated place (CDP) that coincides with or approximates an Alaska Native village statistical area (ANVSA).

Note: Place class code is set at both the place-county level and for the whole place and could

vary if a place is in multiple counties. The place class code describes the portion of the place

within a county in all summary levels except: 160, 372, 375, 382, 391, 460, 461, and 531;

for those excepted summary levels, the place description describes the entire place entity.

The different place class codes only can occur in Iowa, Nebraska, and Ohio.

Data Dictionary 7–7

U.S. Census Bureau, Census 2000
Geographic Area Codes—Con.

Place Description Code PLACEDC 1 53 A/N

0 Legal entity has no area classified as a central place of an urban area or central city of a

metropolitan area (MA).

1 Legal entity has all of its area classified as a central place of an urban area and as a central

city of a metropolitan area (MA).

2 Legal entity has part of its area classified as a central place of an urban area and all of its

area classified as a central city of a metropolitan area (MA).

3 Legal entity has no area classified as a central place of an urban area and all of its area

classified as a central city of a metropolitan area (MA).

4 Legal entity has all of its area classified as a central place of an urban area and part of its

area classified as a central city of a metropolitan area (MA).

5 Legal entity has part of its area classified as a central place of an urban area and part of its

area classified as a central city of a metropolitan area (MA).

6 Legal entity has no area classified as a central place of an urban area and part of its area

classified as a central city of a metropolitan area (MA).

7 Legal entity has all of its area classified as a central place of an urban area and no area

classified as a central city of a metropolitan area (MA).

8 Legal entity has part of its area classified as a central place of an urban area and no area

classified as a central city of a metropolitan area (MA).

9 Entity is a ‘‘false’’ entity and not applicable for a place description.

A Statistical entity has no area classified as a central place of an urban area or central city of

a metropolitan area (MA).

B Statistical entity has all of its area classified as a central place of an urban area and as a

central city of a metropolitan area (MA).

C Statistical entity has part of its area classified as a central place of an urban area and all of

its area classified as a central city of a metropolitan area (MA).

D Statistical entity has no area classified as a central place of an urban area and all of its area

classified as a central city of a metropolitan area (MA).

E Statistical entity has all of its area classified as a central place of an urban area and part of

its area classified as a central city of a metropolitan area (MA).

F Statistical entity has part of its area classified as a central place of an urban area and part

of its area classified as a central city of a metropolitan area (MA).

G Statistical entity has no area classified as a central place of an urban area and part of its

area classified as a central city of a metropolitan area (MA).

H Statistical entity has all of its area classified as a central place of an urban area and no area

classified as a central city of a metropolitan area (MA).

I Statistical entity has part of its area classified as a central place of an urban area and no

area classified as a central city of a metropolitan area (MA).

7–8 Data Dictionary

U.S. Census Bureau, Census 2000
Geographic Area Codes—Con.

Note: Place description code is set at both the place-county level and for the whole place and

could vary if a place is in multiple counties. The place description code describes the portion

of the place within a county in all summary levels except: 160, 372, 375, 382, 391, 460, 461,

and 531; for those excepted summary levels, the place description describes the entire place

entity.

The place description code for a central place(s) of an urban area refers only to land area,

and does not take into account any water area. For example, if the entire land area of a place

is classified as urban within an urban area, the entire area of a place is classified as a central

place regardless of any water area being classified as rural outside the urban area.

Place Size Code PLACESC 2 54 A/N

00 Not in universe

01 0

02 1 - 24

03 25 - 99

04 100 - 199

05 200 - 249

06 250 - 299

07 300 - 499

08 500 - 999

09 1,000 - 1,499

10 1,500 - 1,999

11 2,000 - 2,499

12 2,500 - 4,999

13 5,000 - 9,999

14 10,000 - 19,999

15 20,000 - 24,999

16 25,000 - 49,999

17 50,000 - 99,999

18 100,000 - 249,999

19 250,000 - 499,999

20 500,000 - 999,999

21 1,000,000 - 2,499,999

22 2,500,000 - 4,999,999

23 5,000,000 or more

Census Tract6 TRACT 6 56 A/N

Block Group6 BLKGRP 1 62 A/N

Block6 BLOCK 4 63 A/N

Internal Use Code8 IUC 2 67 A/N

Consolidated City (FIPS)6, 7 CONCIT 5 69 A/N

03436 Athens-Clarke County, Georgia

04200 Augusta-Richmond County, Georgia

11397 Butte-Silver Bow, Montana

19000 Columbus, Georgia

36003 Indianapolis, Indiana

47515 Milford, Connecticut

52006 Nashville-Davidson, Tennessee

FIPS Consolidated City Class Code6, 7 CONCITCC 2 74 A/N

C3 Consolidated city

Data Dictionary 7–9

U.S. Census Bureau, Census 2000
Geographic Area Codes—Con.

Consolidated City Size Code CONCITSC 2 76 A/N

00 Not in universe

01 0

02 1 - 24

03 25 - 99

04 100 - 199

05 200 - 249

06 250 - 299

07 300 - 499

08 500 - 999

09 1,000 - 1,499

10 1,500 - 1,999

11 2,000 - 2,499

12 2,500 - 4,999

13 5,000 - 9,999

14 10,000 - 19,999

15 20,000 - 24,999

16 25,000 - 49,999

17 50,000 - 99,999

18 100,000 - 249,999

19 250,000 - 499,999

20 500,000 - 999,999

21 1,000,000 - 2,499,999

22 2,500,000 - 4,999,999

23 5,000,000 or more

American Indian Area/Alaska Native Area/Hawaiian

Home Land (Census) 6, 9

AIANHH 4 78 A/N

American Indian Area/Alaska Native Area/Hawaiian

Home Land (FIPS)6, 7, 9, 10

AIANHHFP 5 82 A/N

FIPS American Indian Area/Alaska Native

Area/Hawaiian Home Land Class Code 7, 9

AIANHHCC 2 87 A/N

D1 Federally recognized American Indian reservation that has associated off-reservation

trust land.

D2 Federally recognized American Indian reservation that does not have associated offreservation trust lands.

D3 Federally recognized American Indian off-reservation trust land area without any associated reservation.

D4 State recognized American Indian reservation.

D6 Statistical entity identified for a federally recognized American Indian tribe that does not

have a reservation or identified off-reservation trust land. Specifically, a tribal designated

statistical area (TDSA) or Oklahoma tribal statistical area (OTSA) but excluding Alaska

Native village statistical areas (ANVSAs).

D9 State designated American Indian statistical area (SDAISA).

E1 Alaska Native village statistical area (ANVSA) that does not coincide with or approximate

an incorporated place or a census designated place (CDP).

E2 Alaska Native village statistical area (ANVSA) that coincides with or approximates a census designated place (CDP).

E6 Alaska Native village statistical area (ANVSA) that coincides with or approximates an

incorporated place.

7–10 Data Dictionary

U.S. Census Bureau, Census 2000
Geographic Area Codes—Con.

FIPS American Indian Area/Alaska Native

Area/Hawaiian Home Land Class Code 7, 9

—Con.

F1 Hawaiian home land, an area established by the Hawaiian Homes Commission Act of

1921 providing for lands held in trust by the State of Hawaii for the benefit of Native

Hawaiians.

American Indian Trust Land/Hawaiian Home Land

Indicator9

AIHHTLI 1 89 A/N

R American Indian reservation (federal and state) only, Oklahoma tribal statistical area

(OTSA), tribal designated statistical area (TDSA), and state designated American Indian

statistical area (SDAISA)

T Off-reservation trust land

H Hawaiian home land

M American Indian reservation with associated off-reservation trust land

9 Not an American Indian area

American Indian Tribal Subdivision (Census)

6 AITSCE 3 90 A/N

American Indian Tribal Subdivision (FIPS)

6, 7, 10 AITS 5 93 A/N

FIPS American Indian Tribal Subdivision Class Code7 AITSCC 2 98 A/N

D7 American Indian Tribal Subdivision

Alaska Native Regional Corporation (FIPS)

6, 7 ANRC 5 100 A/N

00590 Ahtna

01570 Aleut

03950 Arctic Slope

06370 Bering Straits

09040 Bristol Bay

09800 Calista

14410 Chugach

17140 Cook Inlet

20010 Doyon

41640 Koniag

52120 NANA

67940 Sealaska

FIPS Alaska Native Regional Corporation Class Code7 ANRCCC 2 105 A/N

E7 Alaska Native Regional Corporation

Metropolitan Statistical Area/Consolidated

Metropolitan Statistical Area6

MSACMSA 4 107 A/N

MSA/CMSA Size Code MASC 2 111 A/N

00 Not in universe

01 0

02 1 - 24

03 25 - 99

04 100 - 199

05 200 - 249

06 250 - 299

07 300 - 499

08 500 - 999

09 1,000 - 1,499

10 1,500 - 1,999

11 2,000 - 2,499

12 2,500 - 4,999

13 5,000 - 9,999

14 10,000 - 19,999

Data Dictionary 7–11

U.S. Census Bureau, Census 2000
Geographic Area Codes—Con.

MSA/CMSA Size Code—Con.

15 20,000 - 24,999

16 25,000 - 49,999

17 50,000 - 99,999

18 100,000 - 249,999

19 250,000 - 499,999

20 500,000 - 999,999

21 1,000,000 - 2,499,999

22 2,500,000 - 4,999,999

23 5,000,000 or more

Consolidated Metropolitan Statistical Area6 CMSA 2 113 A/N

Metropolitan Area Central City Indicator MACCI 1 115 A/N

Y Yes, designated or within a central city of a metropolitan area

N No, not designated or within a central city of a metropolitan area

9 Area is not in metropolitan area

Primary Metropolitan Statistical Area6 PMSA 4 116 A/N

New England County Metropolitan Area NECMA 4 120 A/N

New England County Metropolitan Area Central City

Indicator

NECMACCI 1 124 A/N

Y Yes, designated or within a central city of a New England county metropolitan area

N No, not designated or within a central city of a New England county metropolitan area

9 Area is not in New England county metropolitan area

New England County Metropolitan Area Size Code NECMASC 2 125 A/N

Extended Place Indicator6 EXI 1 127 A/N

Y Extended place

N Not an extended place

9 Not in a place

Urban Area6 UA 5 128 A/N

Urban Area Size Code UASC 2 133 A/N

00 Not in universe

01 0

02 1 - 24

03 25 - 99

04 100 - 199

05 200 - 249

06 250 - 299

07 300 - 499

08 500 - 999

09 1,000 - 1,499

10 1,500 - 1,999

11 2,000 - 2,499

12 2,500 - 4,999

13 5,000 - 9,999

14 10,000 - 19,999

15 20,000 - 24,999

16 25,000 - 49,999

17 50,000 - 99,999

18 100,000 - 249,999

19 250,000 - 499,999

7–12 Data Dictionary

U.S. Census Bureau, Census 2000
Geographic Area Codes—Con.

Urban Area Size Code—Con.

20 500,000 - 999,999

21 1,000,000 - 2,499,999

22 2,500,000 - 4,999,999

23 5,000,000 or more

Urban Area Type UATYPE 1 135 A/N

U Urbanized area

C Urban cluster

9 Not in an urban area

Urban/Rural6, 21 UR 1 136 A/N

U Wholly urban

R Wholly rural

M Mixed (partially urban and rural)

Congressional District (106th)6 CD106 2 137 A/N

Congressional District (108th)6 CD108 2 139 A/N

Congressional District (109th)6 CD109 2 141 A/N

Congressional District (110th)6 CD110 2 143 A/N

01–53 The actual congressional district number

00 Applies to states whose representative is elected ‘‘at large’’; i.e., the state has only one

representative in the United States House of Representatives

98 Applies to areas that have an ‘‘at large’’ nonvoting delegate or resident commissioner in

the United States House of Representatives

99 Applies to areas that have no representation in the United States House of Representatives

State Legislative District (Upper Chamber)

6, 11 SLDU 3 145 A/N

State Legislative District (Lower Chamber)

6, 11 SLDL 3 148 A/N

Voting District6, 12 VTD 6 151 A/N

Voting District Indicator VTDI 1 157 A/N

A Actual voting district

P Pseudo-voting district

Blank voting districts not defined for this county

ZIP Code Tabulation Area (3 digit)6 ZCTA3 3 158 A/N

ZIP Code Tabulation Area (5 digit)6 ZCTA5 5 161 A/N

Subbarrio (FIPS)6, 7 SUBMCD 5 166 A/N

FIPS Subbarrio Class Code7 SUBMCDCC 2 171 A/N

Z6 Subbarrio in Puerto Rico.

Area Characteristics

Area (Land)13 AREALAND 14 173 A/N

Area (Water)14 AREAWATR 14 187 A/N

Area Name-Legal/Statistical Area Description (LSAD)

Term-Part Indicator15

NAME 90 201 A/N

Data Dictionary 7–13

U.S. Census Bureau, Census 2000
Area Characteristics—Con.

Functional Status Code FUNCSTAT 1 291 A/N

A Active government providing primary general-purpose functions.

B Active government that is partially consolidated with another government but with separate officials providing primary general-purpose functions.

C Active government that is consolidated with another government that has the same officials providing primary general-purpose functions. Functional status C is assigned to the

nonprimary entity.

E Active government providing special-purpose functions.

F Fictitious entity created to fill the Census Bureau’s geographic hierarchy that is coextensive

or nearly so with another governmental unit.

G Active government that is fiscally or administratively subordinate to another unit of government that provides primary general-purpose functions; not classified as a government

by the Census Bureau’s Governments Division.

I Inactive governmental unit that has the power to provide primary general-purpose functions.

N Nonfunctioning legal entity.

S Statistical entity.

T State recognized American Indian tribe.

Geographic Change User Note Indicator GCUNI 1 292 A/N

Y Geographic change user note exists for this entity

N No geographic change user note exists for this entity

Population Count (100%)16 POP100 9 293 A/N

Housing Unit Count (100%)17 HU100 9 302 A/N

Internal Point (Latitude)18 INTPTLAT 9 311 A/N

Internal Point (Longitude)19 INTPTLON 10 320 A/N

Legal/Statistical Area Description Code20 LSADC 2 330 A/N

Part Flag PARTFLAG 1 332 A/N

W Not a Part

P Part

Special Area Codes

School District (Elementary) SDELM 5 333 A/N

School District (Secondary) SDSEC 5 338 A/N

School District (Unified) SDUNI 5 343 A/N

Traffic Analysis Zone TAZ 6 348 A/N

Oregon Urban Growth Area UGA 5 354 A/N

Public Use Microdata Area - 5% File6 PUMA5 5 359 A/N

Public Use Microdata Area - 1% File6 PUMA1 5 364 A/N

Reserved RESERVE2 15 369 A/N

Metropolitan Area Central City MACC 5 384 A/N

Urban Area Central Place UACP 5 389 A/N

Reserved RESERVED 7 394 A/N

7–14 Data Dictionary

U.S. Census Bureau, Census 2000
FOOTNOTE SECTION

1. A unique, six-character identifier for each file series. File identification codes are as follows:

‘‘uPL ’’ Census 2000 Redistricting Data (Public Law 94-171) Summary File

‘‘uRHLSF’’ Race and Hispanic or Latino Summary File

‘‘uSF1’’ SF 1 summary files for 52 states or state equivalents

′′uSF1A′′ SF 1 Advance National file

′′uSF1F′′ SF 1 Final National file

′′uSF2′′ SF 2 summary files for 52 states or state equivalents

′′uSF2A′′ SF 2 Advance National file

′′uSF2F′′ SF 2 Final National file

′′uSF3′′ SF 3 summary files for 52 states or state equivalents and the national file

′′uSF4′′ SF 4 summary files for 52 states or state equivalents and the national file

See How to Use This File for further information.

2. Identifies the geographic level for which the data matrices on the summary file have been

summarized. The summary level sequence chart describes the hierarchical arrangement of the

specified geographic areas with other geographic areas, if any. The summary level must be

used in combination with the geographic area codes to identify a specific geographic area (for

example, summary level 050 and a specific county code must be used together to locate the

data for a particular county). See How to Use This File for further information.

3. Indicates an iteration (repetition), for the specified summary level, of the data matrices on the

summary file for the geographic components listed in the Geographic Component field. See

How to Use This File for further information.

Geographic Component Codes

00 Not a geographic component

01 Urban

02 Urban—in central place of urban area

03 Urban—not in central place of urban area

04 Urban—in urbanized area

05 Urban—in urbanized area of 5,000,000 or more population

06 Urban—in urbanized area of 2,500,000 to 4,999,999 population

07 Urban—in urbanized area of 1,000,000 to 2,499,999 population

08 Urban—in urbanized area of 500,000 to 999,999 population

09 Urban—in urbanized area of 250,000 to 499,999 population

10 Urban—in urbanized area of 100,000 to 249,999 population

11 Urban—in urbanized area of 50,000 to 99,999 population

12 Urban—in urbanized area—in central place of urbanized area

13 Urban—in urbanized area of 5,000,000 or more population—in central place of

urbanized area

14 Urban—in urbanized area of 2,500,000 to 4,999,999 population—in central place of

urbanized area

15 Urban—in urbanized area of 1,000,000 to 2,499,999 population—in central place of

urbanized area

16 Urban—in urbanized area of 500,000 to 999,999 population—in central place of

urbanized area

17 Urban—in urbanized area of 250,000 to 499,999 population—in central place of

urbanized area

18 Urban—in urbanized area of 100,000 to 249,999 population—in central place of

urbanized area

19 Urban—in urbanized area of 50,000 to 99,999 population—in central place of urbanized

area

20 Urban—in urbanized area—not in central place of urbanized area

Data Dictionary 7–15

U.S. Census Bureau, Census 2000
FOOTNOTE SECTION—Con.

Geographic Component Codes—Con.

21 Urban—in urbanized area of 5,000,000 or more population—not in central place of

urbanized area

22 Urban—in urbanized area of 2,500,000 to 4,999,999 population—not in central place of

urbanized area

23 Urban—in urbanized area of 1,000,000 to 2,499,999 population—not in central place of

urbanized area

24 Urban—in urbanized area of 500,000 to 999,999 population—not in central place of

urbanized area

25 Urban—in urbanized area of 250,000 to 499,999 population—not in central place of

urbanized area

26 Urban—in urbanized area of 100,000 to 249,999 population—not in central place of

urbanized area

27 Urban—in urbanized area of 50,000 to 99,999 population—not in central place of

urbanized area

28 Urban—in urban cluster

29 Urban—in urban cluster of 25,000 to 49,999 population

30 Urban—in urban cluster of 10,000 to 24,999 population

31 Urban—in urban cluster of 5,000 to 9,999 population

32 Urban—in urban cluster of 2,500 to 4,999 population

33 Urban—in urban cluster—inside central place

34 Urban—in urban cluster of 25,000 to 49,999 population—inside central place

35 Urban—in urban cluster of 10,000 to 24,999 population—inside central place

36 Urban—in urban cluster of 5,000 to 9,999 population—inside central place

37 Urban—in urban cluster of 2,500 to 4,999 population—inside central place

38 Urban—in urban cluster—not in central place

39 Urban—in urban cluster of 25,000 to 49,999 population—not in central place

40 Urban—in urban cluster of 10,000 to 24,999 population—not in central place

41 Urban—in urban cluster of 5,000 to 9,999 population—not in central place

42 Urban—in urban cluster of 2,500 to 4,999 population—not in central place

43 Rural

44 Rural—place

45 Rural—place of 2,500 or more population

46 Rural—place of 1,000 to 2,499 population

47 Rural—place of less than 1,000 population

48 Rural—not in place

49 Rural—farm

50 Urban portion of extended place

51 Rural portion of extended place

52 In metropolitan statistical area (MSA)/consolidated metropolitan statistical area (CMSA)

53 In metropolitan statistical area (MSA)/consolidated metropolitan statistical area (CMSA) of

5,000,000 or more population

54 In metropolitan statistical area (MSA)/consolidated metropolitan statistical area (CMSA) of

2,500,000 to 4,999,999 population

55 In metropolitan statistical area (MSA)/consolidated metropolitan statistical area (CMSA) of

1,000,000 to 2,499,999 population

56 In metropolitan statistical area (MSA)/consolidated metropolitan statistical area (CMSA) of

500,000 to 999,999 population

57 In metropolitan statistical area (MSA)/consolidated metropolitan statistical area (CMSA) of

250,000 to 499,999 population

58 In metropolitan statistical area (MSA)/consolidated metropolitan statistical area (CMSA) of

100,000 to 249,999 population

59 In metropolitan statistical area (MSA)/consolidated metropolitan statistical area (CMSA) of

50,000 to 99,999 population

60 In metropolitan statistical area (MSA)/consolidated metropolitan statistical area (CMSA)—

urban

7–16 Data Dictionary

U.S. Census Bureau, Census 2000
FOOTNOTE SECTION—Con.

Geographic Component Codes—Con.

61 In metropolitan statistical area (MSA)/consolidated metropolitan statistical area (CMSA)—

urban—in urbanized area

62 In metropolitan statistical area (MSA)/consolidated metropolitan statistical area (CMSA)—

urban—in urban cluster

63 In metropolitan statistical area (MSA)/consolidated metropolitan statistical area (CMSA)—

rural

64 In metropolitan statistical area (MSA)/consolidated metropolitan statistical area

(CMSA)—in MSA/CMSA central city

65 In metropolitan statistical area (MSA)/consolidated metropolitan statistical area (CMSA) of

5,000,000 or more population—in MSA/CMSA central city

66 In metropolitan statistical area (MSA)/consolidated metropolitan statistical area (CMSA) of

2,500,000 to 4,999,999 population—in MSA/CMSA central city

67 In metropolitan statistical area (MSA)/consolidated metropolitan statistical area (CMSA) of

1,000,000 to 2,499,999 population—in MSA/CMSA central city

68 In metropolitan statistical area (MSA)/consolidated metropolitan statistical area (CMSA) of

500,000 to 999,999 population—in MSA/CMSA central city

69 In metropolitan statistical area (MSA)/consolidated metropolitan statistical area (CMSA) of

250,000 to 499,999 population—in MSA/CMSA central city

70 In metropolitan statistical area (MSA)/consolidated metropolitan statistical area (CMSA) of

100,000 to 249,999 population—in MSA/CMSA central city

71 In metropolitan statistical area (MSA)/consolidated metropolitan statistical area (CMSA) of

50,000 to 99,999 population—in MSA/CMSA central city

72 In metropolitan statistical area (MSA)/consolidated metropolitan statistical area (CMSA)—

not in MSA/CMSA central city

73 In metropolitan statistical area (MSA)/consolidated metropolitan statistical area (CMSA) of

5,000,000 or more population—not in MSA/CMSA central city

74 In metropolitan statistical area (MSA)/consolidated metropolitan statistical area (CMSA) of

2,500,000 to 4,999,999 population—not in MSA/CMSA central city

75 In metropolitan statistical area (MSA)/consolidated metropolitan statistical area (CMSA) of

1,000,000 to 2,499,999 population—not in MSA/CMSA central city

76 In metropolitan statistical area (MSA)/consolidated metropolitan statistical area (CMSA) of

500,000 to 999,999 population—not in MSA/CMSA central city

77 In metropolitan statistical area (MSA)/consolidated metropolitan statistical area (CMSA) of

250,000 to 499,999 population—not in MSA/CMSA central city

78 In metropolitan statistical area (MSA)/consolidated metropolitan statistical area (CMSA) of

100,000 to 249,999 population—not in MSA/CMSA central city

79 In metropolitan statistical area (MSA)/consolidated metropolitan statistical area (CMSA) of

50,000 to 99,999 population—not in MSA/CMSA central city

80 In metropolitan statistical area (MSA)/consolidated metropolitan statistical area (CMSA)—

not in MSA/CMSA central city—urban

81 In metropolitan statistical area (MSA)/consolidated metropolitan statistical area (CMSA)—

not in MSA/CMSA central city—urban—in urbanized area

82 In metropolitan statistical area (MSA)/consolidated metropolitan statistical area (CMSA)—

not in MSA/CMSA central city—urban—in urban cluster

83 In metropolitan statistical area (MSA)/consolidated metropolitan statistical area (CMSA)—

not in MSA/CMSA central city—rural

84 Not in metropolitan statistical area (MSA)/consolidated metropolitan statistical area

(CMSA)

85 Not in metropolitan statistical area (MSA)/consolidated metropolitan statistical area

(CMSA)—urban

86 Not in metropolitan statistical area (MSA)/consolidated metropolitan statistical area

(CMSA)—urban—inside urbanized area

87 Not in metropolitan statistical area (MSA)/consolidated metropolitan statistical area

(CMSA)—urban—inside urban cluster

88 Not in metropolitan statistical area (MSA)/consolidated metropolitan statistical area

(CMSA)—rural

89 American Indian reservation and trust land—Federal Tribe

90 American Indian reservation and trust land—State Tribe

91 Oklahoma Tribal Statistical Area

Data Dictionary 7–17

U.S. Census Bureau, Census 2000
FOOTNOTE SECTION—Con.

Geographic Component Codes—Con.

92 Tribal Designated Statistical Area

93 Alaska Native Village Statistical Area

94 State Designated American Indian Statistical Area

95 Hawaiian Home Land

96 In New England County Metropolitan Area

97 In New England County Metropolitan Area—in central city

98 In New England County Metropolitan Area—not in central city

4. Indicates an iteration (repetition), for the specified summary level, of the data matrices on the

summary file for a population or housing characteristic. These iteration fields apply to SF 2

and SF 4 only. See Chapter 2 for further information and Appendix H for the list of possible

iterations.

5. The logical record is the complete record for a geographic entity defined by the summary

level, but exclusive of the characteristic iteration. A logical record may have one or more parts

(or segments). Each logical record has an assigned sequential integer number within the file.

See How to Use This File for further information.

6. See Appendix A, Census 2000 Geographic Terms and Concepts, for definition of this field.

7. Federal Information Processing Standards (FIPS) codes are standards and guidelines that are

issued by National Institute of Standards and Technology (NIST) for use in computer systems

within the federal government. There are several standards used in Census 2000 data

presentation. The Census Bureau maintains the following standards:

FIPS 5, Codes for the Identification of the States, the District of Columbia, and the

Outly ing Areas of the United States, and Associated Areas

FIPS 6, Counties and Equivalent Entities of the United States, Its Possessions, and

Associ ated Areas

FIPS 9, Congressional Districts of the United States

The Office of Management and Budget (OMB) maintains:

FIPS 8, Metropolitan Areas (Including MSAs, CMSAs, PMSAs, and NECMAs)

The United States Geological Survey (USGS) maintains:

FIPS 55, Guideline: Codes for Named Populated Places, Primary County Divisions, and

Other Locational Entities of the United States, Puerto Rico, and the Outlying Areas

General information about FIPS and the actual FIPS codes as well as contact information can

be found on the Internet at:

http://geonames.usgs.gov/fips55.html

A detailed documentation for the FIPS 55 can be found at:

http://www.itl.nist.gov/fipspubs/fip55-3.htm

8. Codes in unspecified arrangement for U.S. Census Bureau use.

9. For summary levels 256, 257, 258, 259, 289, 291, 292, 293, and 294, the Census Bureau

only creates records for federally recognized American Indian reservation and/or

off-reservation trust land entities, as appropriate for the summary level. No records are

created for state reservations, statistical American Indian and Alaska Native areas, and

Hawaiian home lands.

10. Federal Information Processing Standards (FIPS) 55 codes are assigned by state. Because

American Indian areas can exist in more than one state, multiple FIPS 55 codes exist for the

entity. In National products, American Indian areas in multiple states will show a FIPS 55 code

of ##### indicating that multiple FIPS codes exist for this entity.

7–18 Data Dictionary

U.S. Census Bureau, Census 2000
FOOTNOTE SECTION—Con.

Geographic Component Codes—Con.

11. State legislative district codes can have one to three characters including special characters of

dashes, slashes, and periods. If the code contains less than three characters, the field is rightjustified with leading blanks.

12. Voting district codes can have one to six characters including special characters of dashes,

slashes, and periods. If the code contains less than six characters, the field is right-justified

with leading blanks

13. Land area measurement in square meters. The accuracy of the area measurement is limited by

the inaccuracy inherent in the mapping of the various boundary features in the TIGER® file.

Land area includes intermittent water and glaciers, which appear on census maps and in the

TIGER file as hydrographic features. Square miles can be derived by dividing square meters by

2,589,988. See Appendix A, Census 2000 Geographic Terms and Concepts, for definition of

this field if it is applicable to this file.

14. Water area measurement in square meters. The accuracy of the area measurement is limited

by the inaccuracy inherent in the mapping of the various boundary features in the TIGER File.

Water area excludes intermittent water and glaciers, which are treated as land even though

they appear on census maps and in the TIGER File as hydrographic features. Square miles can

be derived by dividing square meters by 2,589,988. See Appendix A, Census 2000 Geographic Terms and Concepts, for definition of this field if it is applicable to this file.

15. Name of the lowest-level entity represented by the summary level. In addition to the name of

the entity, the name field contains the legal/statistical area description (LSAD) when appropriate, and sometimes contains the state abbreviation. For legal entities, the name is the one

reported to the U.S. Census Bureau in the Boundary and Annexation Survey or by other appropriate sources. For statistical entities, the name is determined by the Office of Management

and Budget for metropolitan areas. For other areas, the name is determined by the local officials, usually in cooperation with the U.S. Census Bureau.

When the summary level represents only part of the area specified in the name, the name usually will have ‘‘(pt.)’’ appended to the name/code terminology to designate that this entry for

the entity represents only a part of the total entity.

16. The total number of persons enumerated in the specified summary level as determined in the

100-percent processing.

17. The total number of housing units enumerated in the specified summary level as determined

in the 100-percent processing.

18. Latitude in degrees, to six decimal places, of a point within the geographic area represented

by the summary level. The decimal point is implied on the file. The character immediately preceding the first digit of the latitude of an internal point identifies the direction (hemisphere): a

plus sign (+) indicates the Northern Hemisphere; a minus sign (-) indicates the Southern Hemisphere. See Appendix A, Census 2000 Geographic Terms and Concepts, for definition of this

field if it is applicable to this file.

19. Longitude in degrees, to six decimal places, of a point with the geographic area represented

by the summary level. The decimal point is implied on the file. The character immediately preceding the first digit of the longitude of an internal point identifies the direction (hemisphere):

a plus sign (+) indicates the Eastern Hemisphere; a minus sign (-) indicates the Western Hemisphere. A point on the 180th meridian is assigned to the Western Hemisphere (-180000000).

See Appendix A, Census 2000 Geographic Terms and Concepts, for definition of this field if it

is applicable to this file.

Data Dictionary 7–19

U.S. Census Bureau, Census 2000
FOOTNOTE SECTION—Con.

20. Legal/Statistical Area Description Codes

00 (none)—nation; no description is appended to the name of the entity.

01 (none)—state or state equivalent; no description is appended to the name of the entity.

03 City and Borough—Legal county equivalent in Alaska; ‘‘City and Borough’’ is appended to

the name of the entity.

04 Borough—Legal county equivalent in Alaska; ‘‘Borough’’ is appended to the name of the

entity.

05 Census area—Statistical county equivalent in Alaska; ‘‘Census Area’’ is appended to the

name of the entity.

06 County—Legal county in 48 states; ‘‘County’’ is appended to the name of the entity.

07 District—Legal county equivalent in American Samoa; ‘‘District’’ is appended to the name

of the entity.

08 Independent city—legal county equivalent in Maryland, Missouri, and Virginia; ‘‘city’’ is

appended to the name of the entity.

09 (none)—Independent city that is a legal county equivalent in Nevada; no description is

appended to the name of the entity.

10 Island—Legal county equivalent in the Virgin Islands (U.S.); ‘‘Island’’ is appended to the

name of the entity.

11 (none)—Legal county equivalent in American Samoa; ‘‘Island’’ is part of the name and is

not appended to the name of the entity.

12 Municipality—Legal county equivalent in Alaska and the Northern Mariana Islands;

‘‘Municipality’’ is appended to the name of the entity.

13 Municipio—Legal county equivalent in Puerto Rico; ‘‘Municipio’’ is appended to the name

of the entity.

14 (none)—Legal county equivalent, used at county level for District of Columbia and Guam;

no description is appended to the name of the entity.

15 Parish—Legal county equivalent in Louisiana; ‘‘Parish’’ is appended to the name of the

entity.

19 Reservation—Legal county subdivision equivalent in Maine and New York (coextensive

with all or part of an American Indian reservation); ‘‘Reservation’’ is appended to the

name of the entity.

20 Barrio—Legal county subdivision in Puerto Rico; ‘‘barrio’’ is appended to the name of the

entity.

21 Borough—legal county subdivision in New York; legal county subdivision equivalent in

New Jersey and Pennsylvania; ‘‘borough’’ is appended to the name of the entity.

22 CCD—Census county divisions are statistical area county subdivision equivalents in 21

states; ‘‘CCD’’ is appended to the name of the entity.

23 Census subarea—Statistical area county subdivision equivalent in Alaska; ‘‘census

subarea’’ is appended to the name of the entity.

24 Census subdistrict—legal county subdivision equivalent in the Virgin Islands (U.S.); ‘‘subdistrict’’ is appended to the name of the entity.

25 City—Legal county subdivision equivalent in 20 states and the District of Columbia; ‘‘city’’

is appended to the name of the entity.

26 County—Legal county subdivision in American Samoa; ‘‘county’’ is appended to the name

of the entity.

27 District—Legal county subdivision in Pennsylvania, Virginia, West Virginia, Guam, and the

Northern Mariana Islands; ‘‘district’’ is appended to the name of the entity. The description may refer to an election, magisterial, municipal, or road district.

28 (none)—Legal county subdivision in Louisiana, Maryland, Mississippi, Virginia, West Virginia, and the Northern Mariana Islands; ‘‘District’’ is part of the name and is not

appended to the name of the entity. The description may refer to an assessment,

election, magisterial, supervisor’s, parish governing authority, or municipal district.

29 Precinct—Legal county subdivision in Illinois and Nebraska; ‘‘precinct’’ is appended to the

name of the entity. The description refers to an election precinct.

30 (none)—Legal county subdivision in Illinois and Nebraska. ‘‘Precinct’’ is part of the name

and is not appended to the name of the entity. The description refers to an election

precinct.

31 Gore—Legal county subdivision in Maine and Vermont; ‘‘gore’’ is appended to the name

of the entity.

32 Grant—Legal county subdivision in New Hampshire and Vermont; ‘‘grant’’ is appended to

the name of the entity.

7–20 Data Dictionary

U.S. Census Bureau, Census 2000
FOOTNOTE SECTION—Con.

Legal/Statistical Area Description Codes—Con.

33 Independent city—Legal county subdivision equivalent in Maryland, Missouri, and

Virginia; ‘‘city’’ is appended to the name of the entity.

34 (none)—Independent city that is a legal county subdivision equivalent in Nevada. ‘‘City’’ is

part of the name and is not appended to the name of the entity.

35 (none)—Legal county subdivision in American Samoa; ‘‘Island’’ is part of the name and is

not appended to the name of the entity.

36 Location—Legal county subdivision in New Hampshire; ‘‘location’’ is appended to the

name of the entity.

38 (none)—Legal county subdivision equivalent for Arlington County, Virginia; no

description is appended to the name of the entity.

39 Plantation—Legal county subdivision in Maine; ‘‘plantation’’ is appended to the name of

the entity.

40 (none)—Legal county subdivision not defined; no description is appended to the name of

the entity.

41 Barrio-pueblo—Legal county subdivision in Puerto Rico; ‘‘barrio-pueblo’’ is appended to

the name of the entity.

42 Purchase—Legal county subdivision in New Hampshire; ‘‘purchase’’ is appended to the

name of the entity.

43 Town—Legal county subdivision in eight states, legal county subdivision equivalent in

New Jersey, North Carolina, Pennsylvania, and South Dakota. The description ‘‘town’’ is

appended to the name of the entity.

44 Township—Legal county subdivision in 16 states; ‘‘township’’ is appended to the name of

the entity.

45 (none)—Legal county subdivision in Kansas, Minnesota, Nebraska, and North Carolina;

‘‘Township’’ is part of the name and is not appended to the name of the entity.

46 Unorganized territory—statistical area county subdivision in ten states; ‘‘UT’’ is appended

to the name of the entity.

47 Village—Legal county subdivision equivalent in New Jersey, Ohio, South Dakota, and Wisconsin; ‘‘village’’ is appended to the name of the entity.

49 Charter township—Legal county subdivision in Michigan; ‘‘charter township’’ is appended

to the name of the entity.

51 Subbarrio—Sub-MCD in Puerto Rico; ‘‘subbarrio’’ is appended to the name of the entity.

53 City and Borough–Incorporated place in Alaska; ‘‘city and borough’’ is appended to the

name of the entity.

54 Municipality—Incorporated place in Alaska; ‘‘municipality’’ is appended to the name of

the entity.

55 Comunidad—statistical area place in Puerto Rico; ‘‘comunidad’’ is appended to the name

of the entity.

56 Borough—Incorporated place in Connecticut, New Jersey, and Pennsylvania; ‘‘borough’’ is

appended to the name of the entity.

57 CDP—Census designated places (CDPs) are statistical area places in all 50 states, Guam,

Northern Mariana Islands, and the Virgin Islands (U.S.); ‘‘CDP’’ is appended to the name of

the entity.

58 City—Incorporated place in 49 states (not Hawaii) and the District of Columbia; ‘‘city’’ is

appended to the name of the entity.

59 (none)—Incorporated place having no legal description in three states; place equivalent in

five states. Some places have a unique description, no description, or description

included with the name, as follows:

Athens-Clarke County (balance) (Georgia): ‘‘Unified Government of Athens-Clarke

County’’

Augusta-Richmond County (balance) (Georgia): (no description appended)

Anaconda-Deer Lodge County (Montana): incorporated municipality

Butte-Silver Bow (balance) (Montana): (no description appended)

Carson City, Nevada: (no description appended)

Columbus city (balance) (Georgia)

Indianapolis city (balance) (Indiana): (no description appended)

Lexington-Fayette (Kentucky): Urban County Government

Nashville and Davidson County (balance) (Tennessee): ‘‘Metropolitan Government of

Nashville and Davidson County’’

60 Town—Incorporated place in 30 states and the Virgin Islands (U.S.); ‘‘town’’ is appended

to the name of the entity.

Data Dictionary 7–21

U.S. Census Bureau, Census 2000
FOOTNOTE SECTION—Con.

Legal/Statistical Area Description Codes—Con.

61 Village—Incorporated place in 20 states and traditional place in American Samoa;

‘‘village’’ is appended to the name of the entity.

62 Zona urbana—Statistical area place in Puerto Rico; ‘‘zona urbana’’ is appended to the

name of the entity.

65 City—Consolidated city in Connecticut, Georgia, and Indiana; ‘‘city’’ is appended to the

name of the entity.

66 (none)—Some consolidated cities have unique descriptions or no descriptions, as

follows:

Athens-Clarke County (Georgia): ‘‘Unified Government of Athens-Clarke County’’

Augusta-Richmond County (Georgia): (no description appended)

Butte-Silver Bow (Montana): (no description appended)

Nashville-Davidson (Tennessee): ’’Metropolitan Government of Nashville and

Davidson County‘‘

68 Region—Census region; ‘‘Region’’ is appended to the name of the entity.

69 Division—Census division; ‘‘Division’’ is appended to the name of the entity.

70 Urban growth area (UGA)—Only in Oregon; ‘‘urban growth area’’ is appended to the name

of the entity.

71 CMSA—Consolidated metropolitan statistical area; ‘‘CMSA’’ is appended to the name of

the entity.

72 MSA—Metropolitan statistical area; ‘‘MSA’’ is appended to the name of the entity.

73 PMSA—Primary metropolitan statistical area; ‘‘PMSA’’ is appended to the name of the

entity.

74 NECMA—New England county metropolitan area; ‘‘NECMA’’ is appended to the name of

the entity.

75 Urbanized area (UA); ‘‘Urbanized Area’’ is appended to the name of the entity.

76 Urban cluster (UC); ‘‘Urban Cluster’’ is appended to the name of the entity.

77 Alaska Native Regional Corporation (ANRC); ‘‘Alaska Native Regional Corporation’’ is

appended to the name of the entity.

78 Hawaiian home land; ‘‘Home Land’’ is appended to the name of the entity.

79 Alaska Native village statistical area (ANVSA); ‘‘ANVSA’’ is appended to the name of the

entity.

80 Tribal designated statistical area (TDSA); ‘‘TDSA’’ is appended to the name of the entity.

81 Colony—American Indian reservation; ‘‘Colony’’ is appended to the name of the entity.

82 Community—American Indian reservation; ‘‘Community’’ is appended to the name of the

entity.

83 Joint use area—American Indian reservation equivalent; ‘‘joint use area’’ is appended to

the name of the entity.

84 Pueblo—American Indian reservation; ‘‘Pueblo’’ is appended to the name of the entity.

85 Rancheria—American Indian reservation; ‘‘Rancheria’’ is appended to the name of the

entity.

86 Reservation—American Indian reservation; ‘‘Reservation’’ is appended to the name of the

entity.

87 Reserve—American Indian reservation; ‘‘Reserve’’ is appended to the name of the entity.

88 Oklahoma tribal statistical area (OTSA); ‘‘OTSA’’ is appended to the name of the entity.

89 Trust land only entity—American Indian reservation equivalent; ‘‘Trust Land’’ is appended

to the name of the entity.

90 Joint use area OTSA—Joint use area of Oklahoma tribal statistical area (OTSA); ‘‘joint use

OTSA’’ is appended to the name of the entity.

91 Ranch—American Indian reservation; ‘‘Ranch’’ is appended to the name of the entity.

92 State designated American Indian statistical area (SDAISA); ‘‘SDAISA’’ is appended to the

name of the entity.

93 Indian village—American Indian reservation; ‘‘Indian Village’’ is appended to the name of

the entity.

94 Village—American Indian reservation; ‘‘Village’’ is appended to the name of the entity.

95 Indian community—American Indian reservation; ‘‘Indian Community’’ is appended to the

name of the entity.

T1 (none)—American Indian tribal subdivision; ‘‘Area’’ is part of the name and is not

appended to the name of the entity.

7–22 Data Dictionary

U.S. Census Bureau, Census 2000
FOOTNOTE SECTION—Con.

Legal/Statistical Area Description Codes—Con.

T2 Chapter—American Indian tribal subdivision; ‘‘Chapter’’ is appended to the name of the

entity.

T3 Community—American Indian tribal subdivision; ‘‘Community’’ is appended to the name

of the entity.

T4 District—American Indian tribal subdivision; ‘‘District’’ is appended to the name of the

entity.

T5 (none)—American Indian tribal subdivision; ‘‘District’’ is part of the name and is not

appended to the name of the entity.

T6 Segment—American Indian tribal subdivision; ‘‘Segment’’ is appended to the name of the

entity.

T7 Tract—American Indian tribal subdivision; ‘‘Tract’’ is appended to the name of the entity.

T8 Agency—American Indian tribal subdivision; ‘‘Agency’’ is appended to the name of the

entity.

T9 Parcel—American Indian tribal subdivision; ‘‘Parcel’’ is appended to the name of the

entity.

T0 Precinct—American Indian tribal subdivision; ‘‘Precinct’’ is appended to the name of the

entity.

U1 Region—American Indian tribal subdivision; ‘‘Region’’ is appended to the name of the

entity.

U2 Township—American Indian tribal subdivision; ‘‘Township’’ is appended to the name of

the entity.

U3 Village—American Indian tribal subdivision; ‘‘Village’’ is appended to the name of the

entity.

C1 Congressional district; ‘‘Congressional District (at Large)’’ is appended to the name of the

entity.

C2 Congressional district; ‘‘Congressional District’’ is appended to the name of the entity.

C3 Congressional district; ‘‘Resident Commissioner District (at Large)’’ is appended to the

name of the entity.

C4 Congressional district; ‘‘Delegate District (at Large)’’ is appended to the name of the

entity.

C5 Congressional district; ‘‘No Representative’’ is appended to the name of the entity.

LL State legislative district—lower chamber; ‘‘State House District’’ is prefixed to the name of

the entity. No legislative districts exist in the following states/state equivalents:

Arkansas, California, District of Columbia, Florida, Hawaii, Kentucky, Maine, Maryland,

Minnesota, Montana, Nebraska, New Hampshire, Puerto Rico, Texas, and the Island Areas.

LU State legislative district—upper chamber; ‘‘State Senate District’’ is prefixed to the name

of the entity. No legislative districts exist in the following states/state equivalents: Arkansas, California, District of Columbia, Florida, Hawaii, Kentucky, Maine, Maryland, Minnesota, Montana, Puerto Rico, Texas, and the Island Areas.

V0 (none)—Descriptions, such as ‘‘Precinct’’ and ‘‘Voting District,’’ are part of the name and

are not prefixed or appended to the name of the entity. No 2000 voting districts exist in

the following states/state equivalents: California, Florida, Kentucky, Montana, North

Dakota, Ohio, Oregon, Wisconsin, and the Island Areas.

V1 Voting district; ‘‘Voting District’’ is prefixed to the name of the entity. No 2000 voting

districts exist in the following states/state equivalents: California, Florida, Kentucky,

Montana, North Dakota, Ohio, Oregon, Wisconsin and the Island Areas.

V2 Voting district; ‘‘Voting District’’ is appended to the name of the entity. No 2000 voting

districts exist in the following states/state equivalents: California, Florida, Kentucky,

Montana, North Dakota, Ohio, Oregon, Wisconsin, and the Island Areas.

P1 (none)—1% public-use microdata file; no description is appended to the name of the

entity.

P5 (none)—5% public-use microdata file; no description is appended to the name of the

entity.

PK (none)—Park landmark; no description is appended to the name of the entity.

S1 (none)—Elementary school district; no description is appended to the name of the entity.

S2 (none)—Secondary school district; no description is appended to the name of the entity.

S3 (none)—Unitary school district; no description is appended to the name of the entity.

S4 (none)—Administrative school area in Hawaii and New York city only; no description is

appended to the name of the entity.

Data Dictionary 7–23

U.S. Census Bureau, Census 2000
FOOTNOTE SECTION—Con.

Legal/Statistical Area Description Codes—Con.

S5 (none)—Bureau of Indian Affairs (BIA) school area; no description is appended to the

name of the entity.

S6 (none)—Department of Defense (DOD) school area; no description is appended to the

name of the entity.

S7 (none)—Areas not coded to a school district; no description is appended to the name of

the entity.

TZ (none)—Traffic analysis zone; no description is appended to the name of the entity.

Z3 ZIP Code® tabulation area (3-Digit); ‘‘3-Digit ZCTA’’ is appended to the name of the entity.

Z5 ZIP Code® tabulation area (5-Digit); ‘‘5-Digit ZCTA’’ is appended to the name of the entity.

Five-Digit ZCTAs may include codes ending in ‘‘XX’’ and ‘‘HH.’’

21. M Mixed (partially urban and rural) is not used in SF3 because the summary levels are defined

to be wholly urban or rural.

7–24 Data Dictionary

U.S. Census Bureau, Census 2000
TABLE (MATRIX) SECTION

The files for Summary File 4 are provided as a set for each state. The set is comprised of the

geographic header file and 38 data files. The layout for the 38 data files is presented below.

These 38 table files are comma delimited. The data fields are numeric with the maximum size

shown in Max size. Each file begins with five linking fields from the geographic header file. These

fields are shown at the beginning of each data file in this table (matrix) section.

Table

number Table contents

Data

dictionary

reference

name

SegmentMax

size

File 01 File Linking Fields (comma delimited)

Field name

Data

dictionary

reference name Max

size

Data

type

File Identification FILEID 6 A/N

State/U.S.-Abbreviation (USPS) STUSAB 2 A

Characteristic Iteration CHARITER 3 A/N

Characteristic Iteration File Sequence Number CIFSN 2 A/N

Logical Record Number LOGRECNO 7 N

PCT1. TOTAL POPULATION [1]

Universe: Total population

Total PCT001001 01 9

PCT2. URBAN AND RURAL [7]

Universe: Total population

Total: PCT002001 01 9

Urban: PCT002002 01 9

Inside urbanized areas PCT002003 01 9

Inside urban clusters PCT002004 01 9

Rural: PCT002005 01 9

Farm PCT002006 01 9

Nonfarm PCT002007 01 9

PCT3. SEX BY AGE [209]

Universe: Total population

Total: PCT003001 01 9

Male: PCT003002 01 9

Under 1 year PCT003003 01 9

1 year PCT003004 01 9

2 years PCT003005 01 9

3 years PCT003006 01 9

4 years PCT003007 01 9

5 years PCT003008 01 9

6 years PCT003009 01 9

7 years PCT003010 01 9

Data Dictionary 7–25

U.S. Census Bureau, Census 2000
Table

number Table contents

Data

dictionary

reference

name

SegmentMax

size

PCT3. SEX BY AGE [209]—Con.

Total—Con.

Male—Con.

8 years PCT003011 01 9

9 years PCT003012 01 9

10 years PCT003013 01 9

11 years PCT003014 01 9

12 years PCT003015 01 9

13 years PCT003016 01 9

14 years PCT003017 01 9

15 years PCT003018 01 9

16 years PCT003019 01 9

17 years PCT003020 01 9

18 years PCT003021 01 9

19 years PCT003022 01 9

20 years PCT003023 01 9

21 years PCT003024 01 9

22 years PCT003025 01 9

23 years PCT003026 01 9

24 years PCT003027 01 9

25 years PCT003028 01 9

26 years PCT003029 01 9

27 years PCT003030 01 9

28 years PCT003031 01 9

29 years PCT003032 01 9

30 years PCT003033 01 9

31 years PCT003034 01 9

32 years PCT003035 01 9

33 years PCT003036 01 9

34 years PCT003037 01 9

35 years PCT003038 01 9

36 years PCT003039 01 9

37 years PCT003040 01 9

38 years PCT003041 01 9

39 years PCT003042 01 9

40 years PCT003043 01 9

41 years PCT003044 01 9

42 years PCT003045 01 9

43 years PCT003046 01 9

44 years PCT003047 01 9

45 years PCT003048 01 9

46 years PCT003049 01 9

47 years PCT003050 01 9

48 years PCT003051 01 9

49 years PCT003052 01 9

50 years PCT003053 01 9

7–26 Data Dictionary

U.S. Census Bureau, Census 2000
Table

number Table contents

Data

dictionary

reference

name

SegmentMax

size

PCT3. SEX BY AGE [209]—Con.

Total—Con.

Male—Con.

51 years PCT003054 01 9

52 years PCT003055 01 9

53 years PCT003056 01 9

54 years PCT003057 01 9

55 years PCT003058 01 9

56 years PCT003059 01 9

57 years PCT003060 01 9

58 years PCT003061 01 9

59 years PCT003062 01 9

60 years PCT003063 01 9

61 years PCT003064 01 9

62 years PCT003065 01 9

63 years PCT003066 01 9

64 years PCT003067 01 9

65 years PCT003068 01 9

66 years PCT003069 01 9

67 years PCT003070 01 9

68 years PCT003071 01 9

69 years PCT003072 01 9

70 years PCT003073 01 9

71 years PCT003074 01 9

72 years PCT003075 01 9

73 years PCT003076 01 9

74 years PCT003077 01 9

75 years PCT003078 01 9

76 years PCT003079 01 9

77 years PCT003080 01 9

78 years PCT003081 01 9

79 years PCT003082 01 9

80 years PCT003083 01 9

81 years PCT003084 01 9

82 years PCT003085 01 9

83 years PCT003086 01 9

84 years PCT003087 01 9

85 years PCT003088 01 9

86 years PCT003089 01 9

87 years PCT003090 01 9

88 years PCT003091 01 9

89 years PCT003092 01 9

90 years PCT003093 01 9

91 years PCT003094 01 9

92 years PCT003095 01 9

93 years PCT003096 01 9

94 years PCT003097 01 9

95 years PCT003098 01 9

Data Dictionary 7–27

U.S. Census Bureau, Census 2000
Table

number Table contents

Data

dictionary

reference

name

SegmentMax

size

PCT3. SEX BY AGE [209]—Con.

Total—Con.

Male—Con.

96 years PCT003099 01 9

97 years PCT003100 01 9

98 years PCT003101 01 9

99 years PCT003102 01 9

100 to 104 years PCT003103 01 9

105 to 109 years PCT003104 01 9

110 years and over PCT003105 01 9

Female: PCT003106 01 9

Under 1 year PCT003107 01 9

1 year PCT003108 01 9

2 years PCT003109 01 9

3 years PCT003110 01 9

4 years PCT003111 01 9

5 years PCT003112 01 9

6 years PCT003113 01 9

7 years PCT003114 01 9

8 years PCT003115 01 9

9 years PCT003116 01 9

10 years PCT003117 01 9

11 years PCT003118 01 9

12 years PCT003119 01 9

13 years PCT003120 01 9

14 years PCT003121 01 9

15 years PCT003122 01 9

16 years PCT003123 01 9

17 years PCT003124 01 9

18 years PCT003125 01 9

19 years PCT003126 01 9

20 years PCT003127 01 9

21 years PCT003128 01 9

22 years PCT003129 01 9

23 years PCT003130 01 9

24 years PCT003131 01 9

25 years PCT003132 01 9

26 years PCT003133 01 9

27 years PCT003134 01 9

28 years PCT003135 01 9

29 years PCT003136 01 9

30 years PCT003137 01 9

31 years PCT003138 01 9

32 years PCT003139 01 9

33 years PCT003140 01 9

34 years PCT003141 01 9

35 years PCT003142 01 9

7–28 Data Dictionary

U.S. Census Bureau, Census 2000
Table

number Table contents

Data

dictionary

reference

name

SegmentMax

size

PCT3. SEX BY AGE [209]—Con.

Total—Con.

Female—Con.

36 years PCT003143 01 9

37 years PCT003144 01 9

38 years PCT003145 01 9

39 years PCT003146 01 9

40 years PCT003147 01 9

41 years PCT003148 01 9

42 years PCT003149 01 9

43 years PCT003150 01 9

44 years PCT003151 01 9

45 years PCT003152 01 9

46 years PCT003153 01 9

47 years PCT003154 01 9

48 years PCT003155 01 9

49 years PCT003156 01 9

50 years PCT003157 01 9

51 years PCT003158 01 9

52 years PCT003159 01 9

53 years PCT003160 01 9

54 years PCT003161 01 9

55 years PCT003162 01 9

56 years PCT003163 01 9

57 years PCT003164 01 9

58 years PCT003165 01 9

59 years PCT003166 01 9

60 years PCT003167 01 9

61 years PCT003168 01 9

62 years PCT003169 01 9

63 years PCT003170 01 9

64 years PCT003171 01 9

65 years PCT003172 01 9

66 years PCT003173 01 9

67 years PCT003174 01 9

68 years PCT003175 01 9

69 years PCT003176 01 9

70 years PCT003177 01 9

71 years PCT003178 01 9

72 years PCT003179 01 9

73 years PCT003180 01 9

74 years PCT003181 01 9

75 years PCT003182 01 9

76 years PCT003183 01 9

77 years PCT003184 01 9

78 years PCT003185 01 9

79 years PCT003186 01 9

80 years PCT003187 01 9

Data Dictionary 7–29

U.S. Census Bureau, Census 2000
Table

number Table contents

Data

dictionary

reference

name

SegmentMax

size

PCT3. SEX BY AGE [209]—Con.

Total—Con.

Female—Con.

81 years PCT003188 01 9

82 years PCT003189 01 9

83 years PCT003190 01 9

84 years PCT003191 01 9

85 years PCT003192 01 9

86 years PCT003193 01 9

87 years PCT003194 01 9

88 years PCT003195 01 9

89 years PCT003196 01 9

90 years PCT003197 01 9

91 years PCT003198 01 9

92 years PCT003199 01 9

93 years PCT003200 01 9

94 years PCT003201 01 9

95 years PCT003202 01 9

96 years PCT003203 01 9

97 years PCT003204 01 9

98 years PCT003205 01 9

99 years PCT003206 01 9

100 to 104 years PCT003207 01 9

105 to 109 years PCT003208 01 9

110 years and over PCT003209 01 9

PCT4. MEDIAN AGE BY SEX [3]

(1 expressed decimal)

Universe: Total population

Median age —

Total PCT004001 01 9

Male PCT004002 01 9

Female PCT004003 01 9

File 02 File Linking Fields (comma delimited)

Field name

Data

dictionary

reference

name

Max

size

Data

type

File Identification FILEID 6 A/N

State/U.S.-Abbreviation (USPS) STUSAB 2 A

Characteristic Iteration CHARITER 3 A/N

Characteristic Iteration File Sequence Number CIFSN 2 A/N

Logical Record Number LOGRECNO 7 N

7–30 Data Dictionary

U.S. Census Bureau, Census 2000
Table

number Table contents

Data

dictionary

reference

name

SegmentMax

size

PCT5. SEX BY AGE FOR THE POPULATION IN

HOUSEHOLDS [49]

Universe: Population in households

Total: PCT005001 02 9

Male: PCT005002 02 9

Under 5 years PCT005003 02 9

5 to 9 years PCT005004 02 9

10 to 14 years PCT005005 02 9

15 to 17 years PCT005006 02 9

18 and 19 years PCT005007 02 9

20 years PCT005008 02 9

21 years PCT005009 02 9

22 to 24 years PCT005010 02 9

25 to 29 years PCT005011 02 9

30 to 34 years PCT005012 02 9

35 to 39 years PCT005013 02 9

40 to 44 years PCT005014 02 9

45 to 49 years PCT005015 02 9

50 to 54 years PCT005016 02 9

55 to 59 years PCT005017 02 9

60 and 61 years PCT005018 02 9

62 to 64 years PCT005019 02 9

65 and 66 years PCT005020 02 9

67 to 69 years PCT005021 02 9

70 to 74 years PCT005022 02 9

75 to 79 years PCT005023 02 9

80 to 84 years PCT005024 02 9

85 years and over PCT005025 02 9

Female: PCT005026 02 9

Under 5 years PCT005027 02 9

5 to 9 years PCT005028 02 9

10 to 14 years PCT005029 02 9

15 to 17 years PCT005030 02 9

18 and 19 years PCT005031 02 9

20 years PCT005032 02 9

21 years PCT005033 02 9

22 to 24 years PCT005034 02 9

25 to 29 years PCT005035 02 9

30 to 34 years PCT005036 02 9

35 to 39 years PCT005037 02 9

40 to 44 years PCT005038 02 9

45 to 49 years PCT005039 02 9

50 to 54 years PCT005040 02 9

55 to 59 years PCT005041 02 9

60 and 61 years PCT005042 02 9

62 to 64 years PCT005043 02 9

65 and 66 years PCT005044 02 9

67 to 69 years PCT005045 02 9

Data Dictionary 7–31

U.S. Census Bureau, Census 2000
Table

number Table contents

Data

dictionary

reference

name

SegmentMax

size

PCT5. SEX BY AGE FOR THE POPULATION IN

HOUSEHOLDS [49]—Con.

Total—Con.

Female—Con.

70 to 74 years PCT005046 02 9

75 to 79 years PCT005047 02 9

80 to 84 years PCT005048 02 9

85 years and over PCT005049 02 9

PCT6. HOUSEHOLDS [1]

Universe: Households

Total PCT006001 02 9

PCT7. AGGREGATE POPULATION IN HOUSEHOLDS [1]

Universe: Households

Total PCT007001 02 15

PCT8. AVERAGE HOUSEHOLD SIZE [1]

(2 expressed decimals)

Universe: Households

Average household size PCT008001 02 9

PCT9. HOUSEHOLD TYPE (INCLUDING LIVING ALONE)

BY RELATIONSHIP [27]

Universe: Total population

Total: PCT009001 02 9

In households: PCT009002 02 9

In family households: PCT009003 02 9

Householder: PCT009004 02 9

Male PCT009005 02 9

Female PCT009006 02 9

Spouse PCT009007 02 9

Child: PCT009008 02 9

Natural-born PCT009009 02 9

Adopted PCT009010 02 9

Step PCT009011 02 9

Grandchild PCT009012 02 9

Brother or sister PCT009013 02 9

Parent PCT009014 02 9

Other relatives PCT009015 02 9

Nonrelatives PCT009016 02 9

In nonfamily households: PCT009017 02 9

Male householder: PCT009018 02 9

Living alone PCT009019 02 9

Not living alone PCT009020 02 9

Female householder PCT009021 02 9

Living alone PCT009022 02 9

Not living alone PCT009023 02 9

Nonrelatives PCT009024 02 9

7–32 Data Dictionary

U.S. Census Bureau, Census 2000
Table

number Table contents

Data

dictionary

reference

name

SegmentMax

size

PCT9. HOUSEHOLD TYPE (INCLUDING LIVING ALONE)

BY RELATIONSHIP [27]—Con.

Total—Con.

In group quarters: PCT009025 02 9

Institutionalized population PCT009026 02 9

Noninstitutionalized population PCT009027 02 9

PCT10. HOUSEHOLD SIZE BY HOUSEHOLD TYPE BY

PRESENCE OF OWN CHILDREN UNDER 18 YEARS

[19]

Universe: Households

Total: PCT010001 02 9

1-person household: PCT010002 02 9

Male householder PCT010003 02 9

Female householder PCT010004 02 9

2-or-more-person household: PCT010005 02 9

Family households: PCT010006 02 9

Married-couple family: PCT010007 02 9

With own children under 18 years PCT010008 02 9

No own children under 18 years PCT010009 02 9

Other family: PCT010010 02 9

Male householder, no wife present: PCT010011 02 9

With own children under 18 years PCT010012 02 9

No own children under 18 years PCT010013 02 9

Female householder, no husband present: PCT010014 02 9

With own children under 18 years PCT010015 02 9

No own children under 18 years PCT010016 02 9

Nonfamily households: PCT010017 02 9

Male householder PCT010018 02 9

Female householder PCT010019 02 9

PCT11. HOUSEHOLDS BY PRESENCE OF PEOPLE UNDER

18 YEARS BY HOUSEHOLD TYPE [19]

Universe: Households

Total: PCT011001 02 9

Households with one or more people under

18 years: PCT011002 02 9

Family households: PCT011003 02 9

Married-couple family PCT011004 02 9

Other family: PCT011005 02 9

Male householder, no wife present PCT011006 02 9

Female householder, no husband present PCT011007 02 9

Nonfamily households: PCT011008 02 9

Male householder PCT011009 02 9

Female householder PCT011010 02 9

Data Dictionary 7–33

U.S. Census Bureau, Census 2000
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PCT11. HOUSEHOLDS BY PRESENCE OF PEOPLE UNDER

18 YEARS BY HOUSEHOLD TYPE [19]—Con.

Total—Con.

Households with no people under 18 years: PCT011011 02 9

Family households: PCT011012 02 9

Married-couple family PCT011013 02 9

Other family: PCT011014 02 9

Male householder, no wife present PCT011015 02 9

Female householder, no husband present PCT011016 02 9

Nonfamily households: PCT011017 02 9

Male householder PCT011018 02 9

Female householder PCT011019 02 9

PCT12. RELATIONSHIP BY HOUSEHOLD TYPE FOR THE

POPULATION UNDER 18 YEARS [16]

Universe: Population under 18 years

Total: PCT012001 02 9

In households: PCT012002 02 9

Householder or spouse PCT012003 02 9

Related child: PCT012004 02 9

Own child: PCT012005 02 9

In married-couple family PCT012006 02 9

In other family: PCT012007 02 9

Male householder, no wife present PCT012008 02 9

Female householder, no husband present PCT012009 02 9

Other relatives: PCT012010 02 9

Grandchild PCT012011 02 9

Other relatives PCT012012 02 9

Nonrelatives PCT012013 02 9

In group quarters: PCT012014 02 9

Institutionalized population PCT012015 02 9

Noninstitutionalized population PCT012016 02 9

PCT13. RELATIONSHIP BY AGE FOR THE POPULATION

UNDER 18 YEARS [45]

Universe: Population under 18 years

Total: PCT013001 02 9

In households: PCT013002 02 9

Householder or spouse PCT013003 02 9

Related child: PCT013004 02 9

Own child: PCT013005 02 9

Under 3 years PCT013006 02 9

3 and 4 years PCT013007 02 9

5 years PCT013008 02 9

6 to 11 years PCT013009 02 9

12 and 13 years PCT013010 02 9

14 years PCT013011 02 9

15 to 17 years PCT013012 02 9

7–34 Data Dictionary

U.S. Census Bureau, Census 2000
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PCT13. RELATIONSHIP BY AGE FOR THE POPULATION

UNDER 18 YEARS [45]—Con.

Total—Con.

In households—Con.

Related child—Con.

Other relatives: PCT013013 02 9

Under 3 years PCT013014 02 9

3 and 4 years PCT013015 02 9

5 years PCT013016 02 9

6 to 11 years PCT013017 02 9

12 and 13 years PCT013018 02 9

14 years PCT013019 02 9

15 to 17 years PCT013020 02 9

Nonrelatives: PCT013021 02 9

Under 3 years PCT013022 02 9

3 and 4 years PCT013023 02 9

5 years PCT013024 02 9

6 to 11 years PCT013025 02 9

12 and 13 years PCT013026 02 9

14 years PCT013027 02 9

15 to 17 years PCT013028 02 9

In group quarters: PCT013029 02 9

Institutionalized population: PCT013030 02 9

Under 3 years PCT013031 02 9

3 and 4 years PCT013032 02 9

5 years PCT013033 02 9

6 to 11 years PCT013034 02 9

12 and 13 years PCT013035 02 9

14 years PCT013036 02 9

15 to 17 years PCT013037 02 9

Noninstitutionalized population: PCT013038 02 9

Under 3 years PCT013039 02 9

3 and 4 years PCT013040 02 9

5 years PCT013041 02 9

6 to 11 years PCT013042 02 9

12 and 13 years PCT013043 02 9

14 years PCT013044 02 9

15 to 17 years PCT013045 02 9

Data Dictionary 7–35

U.S. Census Bureau, Census 2000
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PCT14. HOUSEHOLD TYPE (INCLUDING LIVING ALONE)

BY RELATIONSHIP FOR THE POPULATION

65 YEARS AND OVER [21]

Universe: Population 65 years and over

Total: PCT014001 02 9

In households: PCT014002 02 9

In family households: PCT014003 02 9

Householder: PCT014004 02 9

Male PCT014005 02 9

Female PCT014006 02 9

Spouse PCT014007 02 9

Parent PCT014008 02 9

Other relatives PCT014009 02 9

Nonrelatives PCT014010 02 9

In nonfamily households: PCT014011 02 9

Male householder: PCT014012 02 9

Living alone PCT014013 02 9

Not living alone PCT014014 02 9

Female householder: PCT014015 02 9

Living alone PCT014016 02 9

Not living alone PCT014017 02 9

Nonrelatives PCT014018 02 9

In group quarters: PCT014019 02 9

Institutionalized population PCT014020 02 9

Noninstitutionalized population PCT014021 02 9

PCT15. HOUSEHOLDS BY AGE OF HOUSEHOLDER BY

HOUSEHOLD TYPE (INCLUDING LIVING ALONE)

BY PRESENCE OF OWN CHILDREN UNDER

18 YEARS [31]

Universe: Households

Total: PCT015001 02 9

Householder 15 to 64 years: PCT015002 02 9

Family households: PCT015003 02 9

Married-couple family: PCT015004 02 9

With own children under 18 years PCT015005 02 9

No own children under 18 years PCT015006 02 9

Other family: PCT015007 02 9

Male householder, no wife present: PCT015008 02 9

With own children under 18 years PCT015009 02 9

No own children under 18 years PCT015010 02 9

Female householder, no husband present: PCT015011 02 9

With own children under 18 years PCT015012 02 9

No own children under 18 years PCT015013 02 9

Nonfamily households: PCT015014 02 9

Householder living alone PCT015015 02 9

Householder not living alone PCT015016 02 9

7–36 Data Dictionary

U.S. Census Bureau, Census 2000
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PCT15. HOUSEHOLDS BY AGE OF HOUSEHOLDER BY

HOUSEHOLD TYPE (INCLUDING LIVING ALONE)

BY PRESENCE OF OWN CHILDREN UNDER

18 YEARS [31]—Con.

Total—Con.

Householder 65 years and over: PCT015017 02 9

Family households: PCT015018 02 9

Married-couple family: PCT015019 02 9

With own children under 18 years PCT015020 02 9

No own children under 18 years PCT015021 02 9

Other family: PCT015022 02 9

Male householder, no wife present: PCT015023 02 9

With own children under 18 years PCT015024 02 9

No own children under 18 years PCT015025 02 9

Female householder, no husband present: PCT015026 02 9

With own children under 18 years PCT015027 02 9

No own children under 18 years PCT015028 02 9

Nonfamily households: PCT015029 02 9

Householder living alone PCT015030 02 9

Householder not living alone PCT015031 02 9

PCT16. HOUSEHOLD TYPE BY AGE OF HOUSEHOLDER

[19]

Universe: Households

Total: PCT016001 02 9

Family households: PCT016002 02 9

Householder 15 to 24 years PCT016003 02 9

Householder 25 to 34 years PCT016004 02 9

Householder 35 to 44 years PCT016005 02 9

Householder 45 to 54 years PCT016006 02 9

Householder 55 to 64 years PCT016007 02 9

Householder 65 to 74 years PCT016008 02 9

Householder 75 to 84 years PCT016009 02 9

Householder 85 years and over PCT016010 02 9

Nonfamily households: PCT016011 02 9

Householder 15 to 24 years PCT016012 02 9

Householder 25 to 34 years PCT016013 02 9

Householder 35 to 44 years PCT016014 02 9

Householder 45 to 54 years PCT016015 02 9

Householder 55 to 64 years PCT016016 02 9

Householder 65 to 74 years PCT016017 02 9

Householder 75 to 84 years PCT016018 02 9

Householder 85 years and over PCT016019 02 9

Data Dictionary 7–37

U.S. Census Bureau, Census 2000
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File 03 File Linking Fields (comma delimited)

Field name

Data

dictionary

reference nameMax

size

Data

type

File Identification FILEID 6 A/N

State/U.S.-Abbreviation (USPS) STUSAB 2 A

Characteristic Iteration CHARITER 3 A/N

Characteristic Iteration File Sequence Number CIFSN 2 A/N

Logical Record Number LOGRECNO 7 N

PCT17. HOUSEHOLD TYPE BY HOUSEHOLD SIZE [16]

Universe: Households

Total: PCT017001 03 9

Family households: PCT017002 03 9

2-person household PCT017003 03 9

3-person household PCT017004 03 9

4-person household PCT017005 03 9

5-person household PCT017006 03 9

6-person household PCT017007 03 9

7-or-more-person household PCT017008 03 9

Nonfamily households: PCT017009 03 9

1-person household PCT017010 03 9

2-person household PCT017011 03 9

3-person household PCT017012 03 9

4-person household PCT017013 03 9

5-person household PCT017014 03 9

6-person household PCT017015 03 9

7-or-more-person household PCT017016 03 9

PCT18. HOUSEHOLDS BY PRESENCE OF PEOPLE

60 YEARS AND OVER BY HOUSEHOLD SIZE BY

HOUSEHOLD TYPE [11]

Universe: Households

Total: PCT018001 03 9

Households with one or more people 60 years and

over: PCT018002 03 9

1-person household PCT018003 03 9

2-or-more-person household: PCT018004 03 9

Family households PCT018005 03 9

Nonfamily households PCT018006 03 9

Households with no people 60 years and over: PCT018007 03 9

1-person household PCT018008 03 9

2-or-more-person household: PCT018009 03 9

Family households PCT018010 03 9

Nonfamily households PCT018011 03 9

7–38 Data Dictionary

U.S. Census Bureau, Census 2000
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Data

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PCT19. HOUSEHOLDS BY PRESENCE OF PEOPLE

65 YEARS AND OVER BY HOUSEHOLD SIZE BY

HOUSEHOLD TYPE [11]

Universe: Households

Total: PCT019001 03 9

Households with one or more people 65 years and

over: PCT019002 03 9

1-person household PCT019003 03 9

2-or-more-person household: PCT019004 03 9

Family households PCT019005 03 9

Nonfamily households PCT019006 03 9

Households with no people 65 years and over: PCT019007 03 9

1-person household PCT019008 03 9

2-or-more-person household: PCT019009 03 9

Family households PCT019010 03 9

Nonfamily households PCT019011 03 9

PCT20. HOUSEHOLDS BY PRESENCE OF PEOPLE

75 YEARS AND OVER BY HOUSEHOLD SIZE BY

HOUSEHOLD TYPE [11]

Universe: Households

Total: PCT020001 03 9

Households with one or more people 75 years and

over: PCT020002 03 9

1-person household PCT020003 03 9

2-or-more-person household: PCT020004 03 9

Family households PCT020005 03 9

Nonfamily households PCT020006 03 9

Households with no people 75 years and over: PCT020007 03 9

1-person household PCT020008 03 9

2-or-more-person household: PCT020009 03 9

Family households PCT020010 03 9

Nonfamily households PCT020011 03 9

PCT21. UNMARRIED-PARTNER HOUSEHOLDS BY SEX OF

PARTNERS [7]

Universe: Households

Total: PCT021001 03 9

Unmarried-partner households: PCT021002 03 9

Male householder and male partner PCT021003 03 9

Male householder and female partner PCT021004 03 9

Female householder and female partner PCT021005 03 9

Female householder and male partner PCT021006 03 9

All other households PCT021007 03 9

Data Dictionary 7–39

U.S. Census Bureau, Census 2000
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PCT22. HOUSEHOLDS BY PRESENCE OF NONRELATIVES

[3]

Universe: Households

Total: PCT022001 03 9

Households with one or more nonrelatives PCT022002 03 9

Households with no nonrelatives PCT022003 03 9

PCT23. NONRELATIVES BY HOUSEHOLD TYPE [13]

Universe: Nonrelatives

Total: PCT023001 03 9

In family households: PCT023002 03 9

Roomer or boarder PCT023003 03 9

Housemate or roommate PCT023004 03 9

Unmarried partner PCT023005 03 9

Foster child PCT023006 03 9

Other nonrelatives PCT023007 03 9

In nonfamily households: PCT023008 03 9

Roomer or boarder PCT023009 03 9

Housemate or roommate PCT023010 03 9

Unmarried partner PCT023011 03 9

Foster child PCT023012 03 9

Other nonrelatives PCT023013 03 9

PCT24. FAMILIES [1]

Universe: Families

Total PCT024001 03 9

PCT25. AGGREGATE POPULATION IN FAMILIES [1]

Universe: Families

Total PCT025001 03 15

PCT26. AVERAGE FAMILY SIZE [1]

(2 expressed decimals)

Universe: Families

Average family size PCT026001 03 9

7–40 Data Dictionary

U.S. Census Bureau, Census 2000
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Data

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PCT27. FAMILY TYPE BY PRESENCE OF OWN CHILDREN

UNDER 18 YEARS BY AGE OF OWN CHILDREN

[20]

Universe: Families

Total: PCT027001 03 9

Married-couple family: PCT027002 03 9

With own children under 18 years: PCT027003 03 9

Under 6 years only PCT027004 03 9

Under 6 years and 6 to 17 years PCT027005 03 9

6 to 17 years only PCT027006 03 9

No own children under 18 years PCT027007 03 9

Other family: PCT027008 03 9

Male householder, no wife present: PCT027009 03 9

With own children under 18 years: PCT027010 03 9

Under 6 years only PCT027011 03 9

Under 6 years and 6 to 17 years PCT027012 03 9

6 to 17 years only PCT027013 03 9

No own children under 18 years PCT027014 03 9

Female householder, no husband present: PCT027015 03 9

With own children under 18 years: PCT027016 03 9

Under 6 years only PCT027017 03 9

Under 6 years and 6 to 17 years PCT027018 03 9

6 to 17 years only PCT027019 03 9

No own children under 18 years PCT027020 03 9

PCT28. OWN CHILDREN UNDER 18 YEARS BY FAMILY

TYPE BY AGE [26]

Universe: Own children under 18 years

Total: PCT028001 03 9

In married-couple families: PCT028002 03 9

Under 3 years PCT028003 03 9

3 and 4 years PCT028004 03 9

5 years PCT028005 03 9

6 to 11 years PCT028006 03 9

12 and 13 years PCT028007 03 9

14 years PCT028008 03 9

15 to 17 years PCT028009 03 9

In other families: PCT028010 03 9

Male householder, no wife present: PCT028011 03 9

Under 3 years PCT028012 03 9

3 and 4 years PCT028013 03 9

5 years PCT028014 03 9

6 to 11 years PCT028015 03 9

12 and 13 years PCT028016 03 9

14 years PCT028017 03 9

15 to 17 years PCT028018 03 9

Data Dictionary 7–41

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PCT28. OWN CHILDREN UNDER 18 YEARS BY FAMILY

TYPE BY AGE [26]—Con.

Total—Con.

In other families—Con.

Female householder, no husband present: PCT028019 03 9

Under 3 years PCT028020 03 9

3 and 4 years PCT028021 03 9

5 years PCT028022 03 9

6 to 11 years PCT028023 03 9

12 and 13 years PCT028024 03 9

14 years PCT028025 03 9

15 to 17 years PCT028026 03 9

PCT29. FAMILY TYPE BY PRESENCE OF RELATED

CHILDREN UNDER 18 YEARS BY AGE OF

RELATED CHILDREN [20]

Universe: Families

Total: PCT029001 03 9

Married-couple family: PCT029002 03 9

With related children under 18 years: PCT029003 03 9

Under 6 years only PCT029004 03 9

Under 6 years and 6 to 17 years PCT029005 03 9

6 to 17 years only PCT029006 03 9

No related children under 18 years PCT029007 03 9

Other family: PCT029008 03 9

Male householder, no wife present: PCT029009 03 9

With related children under 18 years: PCT029010 03 9

Under 6 years only PCT029011 03 9

Under 6 years and 6 to 17 years PCT029012 03 9

6 to 17 years only PCT029013 03 9

No related children under 18 years PCT029014 03 9

Female householder, no husband present: PCT029015 03 9

With related children under 18 years: PCT029016 03 9

Under 6 years only PCT029017 03 9

Under 6 years and 6 to 17 years PCT029018 03 9

6 to 17 years only PCT029019 03 9

No related children under 18 years PCT029020 03 9

PCT30. FAMILY TYPE BY AGE OF HOUSEHOLDER [29]

Universe: Families

Total: PCT030001 03 9

Married-couple family: PCT030002 03 9

Householder 15 to 24 years PCT030003 03 9

Householder 25 to 34 years PCT030004 03 9

Householder 35 to 44 years PCT030005 03 9

Householder 45 to 54 years PCT030006 03 9

Householder 55 to 59 years PCT030007 03 9

Householder 60 to 64 years PCT030008 03 9

Householder 65 to 74 years PCT030009 03 9

Householder 75 years and over PCT030010 03 9

7–42 Data Dictionary

U.S. Census Bureau, Census 2000
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PCT30. FAMILY TYPE BY AGE OF HOUSEHOLDER

[29]—Con.

Total—Con.

Other family: PCT030011 03 9

Male householder, no wife present: PCT030012 03 9

Householder 15 to 24 years PCT030013 03 9

Householder 25 to 34 years PCT030014 03 9

Householder 35 to 44 years PCT030015 03 9

Householder 45 to 54 years PCT030016 03 9

Householder 55 to 59 years PCT030017 03 9

Householder 60 to 64 years PCT030018 03 9

Householder 65 to 74 years PCT030019 03 9

Householder 75 years and over PCT030020 03 9

Female householder, no husband present: PCT030021 03 9

Householder 15 to 24 years PCT030022 03 9

Householder 25 to 34 years PCT030023 03 9

Householder 35 to 44 years PCT030024 03 9

Householder 45 to 54 years PCT030025 03 9

Householder 55 to 59 years PCT030026 03 9

Householder 60 to 64 years PCT030027 03 9

Householder 65 to 74 years PCT030028 03 9

Householder 75 years and over PCT030029 03 9

PCT31. NONFAMILY HOUSEHOLDS BY SEX OF

HOUSEHOLDER BY LIVING ALONE BY AGE OF

HOUSEHOLDER [15]

Universe: Nonfamily households

Total: PCT031001 03 9

Male householder: PCT031002 03 9

Living alone: PCT031003 03 9

Householder 15 to 64 years PCT031004 03 9

Householder 65 years and over PCT031005 03 9

Not living alone: PCT031006 03 9

Householder 15 to 64 years PCT031007 03 9

Householder 65 years and over PCT031008 03 9

Female householder: PCT031009 03 9

Living alone: PCT031010 03 9

Householder 15 to 64 years PCT031011 03 9

Householder 65 years and over PCT031012 03 9

Not living alone: PCT031013 03 9

Householder 15 to 64 years PCT031014 03 9

Householder 65 years and over PCT031015 03 9

Data Dictionary 7–43

U.S. Census Bureau, Census 2000
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PCT32. SUBFAMILY TYPE BY PRESENCE OF OWN

CHILDREN UNDER 18 YEARS [6]

Universe: Subfamilies

Total: PCT032001 03 9

Married-couple subfamily: PCT032002 03 9

With own children under 18 years PCT032003 03 9

No own children under 18 years PCT032004 03 9

Mother-child subfamily PCT032005 03 9

Father-child subfamily PCT032006 03 9

PCT33. POPULATION IN SUBFAMILIES BY SUBFAMILY

TYPE BY RELATIONSHIP [11]

Universe: Population in subfamilies

Total: PCT033001 03 9

In married-couple subfamilies: PCT033002 03 9

Husband/wife in a subfamily with no children

present PCT033003 03 9

Husband/wife in a subfamily with children

present PCT033004 03 9

Child PCT033005 03 9

In mother-child subfamilies: PCT033006 03 9

Parent PCT033007 03 9

Child PCT033008 03 9

In father-child subfamilies: PCT033009 03 9

Parent PCT033010 03 9

Child PCT033011 03 9

PCT34. HOUSEHOLDS BY NUMBER OF SUBFAMILIES [6]

Universe: Households

Total: PCT034001 03 9

No subfamilies PCT034002 03 9

1 subfamily PCT034003 03 9

2 subfamilies PCT034004 03 9

3 subfamilies PCT034005 03 9

4 or more subfamilies PCT034006 03 9

File 04 File Linking Fields (comma delimited)

Field name

Data

dictionary

reference

name

Max

size

Data

type

File Identification FILEID 6 A/N

State/U.S.-Abbreviation (USPS) STUSAB 2 A

Characteristic Iteration CHARITER 3 A/N

Characteristic Iteration File Sequence Number CIFSN 2 A/N

Logical Record Number LOGRECNO 7 N

7–44 Data Dictionary

U.S. Census Bureau, Census 2000
Table

number Table contents

Data

dictionary

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PCT35. SEX BY MARITAL STATUS BY AGE FOR THE

POPULATION 15 YEARS AND OVER [163]

Universe: Population 15 years and over

Total: PCT035001 04 9

Male: PCT035002 04 9

Never married: PCT035003 04 9

15 to 17 years PCT035004 04 9

18 and 19 years PCT035005 04 9

20 to 24 years PCT035006 04 9

25 to 29 years PCT035007 04 9

30 to 34 years PCT035008 04 9

35 to 44 years PCT035009 04 9

45 to 54 years PCT035010 04 9

55 to 59 years PCT035011 04 9

60 to 64 years PCT035012 04 9

65 to 74 years PCT035013 04 9

75 to 84 years PCT035014 04 9

85 years and over PCT035015 04 9

Now married: PCT035016 04 9

Married, spouse present: PCT035017 04 9

15 to 17 years PCT035018 04 9

18 and 19 years PCT035019 04 9

20 to 24 years PCT035020 04 9

25 to 29 years PCT035021 04 9

30 to 34 years PCT035022 04 9

35 to 44 years PCT035023 04 9

45 to 54 years PCT035024 04 9

55 to 59 years PCT035025 04 9

60 to 64 years PCT035026 04 9

65 to 74 years PCT035027 04 9

75 to 84 years PCT035028 04 9

85 years and over PCT035029 04 9

Married, spouse absent: PCT035030 04 9

Separated: PCT035031 04 9

15 to 17 years PCT035032 04 9

18 and 19 years PCT035033 04 9

20 to 24 years PCT035034 04 9

25 to 29 years PCT035035 04 9

30 to 34 years PCT035036 04 9

35 to 44 years PCT035037 04 9

45 to 54 years PCT035038 04 9

55 to 59 years PCT035039 04 9

60 to 64 years PCT035040 04 9

65 to 74 years PCT035041 04 9

75 to 84 years PCT035042 04 9

85 years and over PCT035043 04 9

Data Dictionary 7–45

U.S. Census Bureau, Census 2000
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number Table contents

Data

dictionary

reference

name

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size

PCT35. SEX BY MARITAL STATUS BY AGE FOR THE

POPULATION 15 YEARS AND OVER [163]—Con.

Total—Con.

Male—Con.

Now married—Con.

Married, spouse absent—Con.

Other: PCT035044 04 9

15 to 17 years PCT035045 04 9

18 and 19 years PCT035046 04 9

20 to 24 years PCT035047 04 9

25 to 29 years PCT035048 04 9

30 to 34 years PCT035049 04 9

35 to 44 years PCT035050 04 9

45 to 54 years PCT035051 04 9

55 to 59 years PCT035052 04 9

60 to 64 years PCT035053 04 9

65 to 74 years PCT035054 04 9

75 to 84 years PCT035055 04 9

85 years and over PCT035056 04 9

Widowed: PCT035057 04 9

15 to 17 years PCT035058 04 9

18 and 19 years PCT035059 04 9

20 to 24 years PCT035060 04 9

25 to 29 years PCT035061 04 9

30 to 34 years PCT035062 04 9

35 to 44 years PCT035063 04 9

45 to 54 years PCT035064 04 9

55 to 59 years PCT035065 04 9

60 to 64 years PCT035066 04 9

65 to 74 years PCT035067 04 9

75 to 84 years PCT035068 04 9

85 years and over PCT035069 04 9

Divorced: PCT035070 04 9

15 to 17 years PCT035071 04 9

18 and 19 years PCT035072 04 9

20 to 24 years PCT035073 04 9

25 to 29 years PCT035074 04 9

30 to 34 years PCT035075 04 9

35 to 44 years PCT035076 04 9

45 to 54 years PCT035077 04 9

55 to 59 years PCT035078 04 9

60 to 64 years PCT035079 04 9

65 to 74 years PCT035080 04 9

75 to 84 years PCT035081 04 9

85 years and over PCT035082 04 9

7–46 Data Dictionary

U.S. Census Bureau, Census 2000
Table

number Table contents

Data

dictionary

reference

name

SegmentMax

size

PCT35. SEX BY MARITAL STATUS BY AGE FOR THE

POPULATION 15 YEARS AND OVER [163]—Con.

Total—Con.

Female: PCT035083 04 9

Never married: PCT035084 04 9

15 to 17 years PCT035085 04 9

18 and 19 years PCT035086 04 9

20 to 24 years PCT035087 04 9

25 to 29 years PCT035088 04 9

30 to 34 years PCT035089 04 9

35 to 44 years PCT035090 04 9

45 to 54 years PCT035091 04 9

55 to 59 years PCT035092 04 9

60 to 64 years PCT035093 04 9

65 to 74 years PCT035094 04 9

75 to 84 years PCT035095 04 9

85 years and over PCT035096 04 9

Now married: PCT035097 04 9

Married, spouse present: PCT035098 04 9

15 to 17 years PCT035099 04 9

18 and 19 years PCT035100 04 9

20 to 24 years PCT035101 04 9

25 to 29 years PCT035102 04 9

30 to 34 years PCT035103 04 9

35 to 44 years PCT035104 04 9

45 to 54 years PCT035105 04 9

55 to 59 years PCT035106 04 9

60 to 64 years PCT035107 04 9

65 to 74 years PCT035108 04 9

75 to 84 years PCT035109 04 9

85 years and over PCT035110 04 9

Married, spouse absent: PCT035111 04 9

Separated: PCT035112 04 9

15 to 17 years PCT035113 04 9

18 and 19 years PCT035114 04 9

20 to 24 years PCT035115 04 9

25 to 29 years PCT035116 04 9

30 to 34 years PCT035117 04 9

35 to 44 years PCT035118 04 9

45 to 54 years PCT035119 04 9

55 to 59 years PCT035120 04 9

60 to 64 years PCT035121 04 9

65 to 74 years PCT035122 04 9

75 to 84 years PCT035123 04 9

85 years and over PCT035124 04 9

Data Dictionary 7–47

U.S. Census Bureau, Census 2000
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number Table contents

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PCT35. SEX BY MARITAL STATUS BY AGE FOR THE

POPULATION 15 YEARS AND OVER [163]—Con.

Total—Con.

Female—Con.

Now married—Con.

Married, spouse absent—Con.

Other: PCT035125 04 9

15 to 17 years PCT035126 04 9

18 and 19 years PCT035127 04 9

20 to 24 years PCT035128 04 9

25 to 29 years PCT035129 04 9

30 to 34 years PCT035130 04 9

35 to 44 years PCT035131 04 9

45 to 54 years PCT035132 04 9

55 to 59 years PCT035133 04 9

60 to 64 years PCT035134 04 9

65 to 74 years PCT035135 04 9

75 to 84 years PCT035136 04 9

85 years and over PCT035137 04 9

Widowed: PCT035138 04 9

15 to 17 years PCT035139 04 9

18 and 19 years PCT035140 04 9

20 to 24 years PCT035141 04 9

25 to 29 years PCT035142 04 9

30 to 34 years PCT035143 04 9

35 to 44 years PCT035144 04 9

45 to 54 years PCT035145 04 9

55 to 59 years PCT035146 04 9

60 to 64 years PCT035147 04 9

65 to 74 years PCT035148 04 9

75 to 84 years PCT035149 04 9

85 years and over PCT035150 04 9

Divorced: PCT035151 04 9

15 to 17 years PCT035152 04 9

18 and 19 years PCT035153 04 9

20 to 24 years PCT035154 04 9

25 to 29 years PCT035155 04 9

30 to 34 years PCT035156 04 9

35 to 44 years PCT035157 04 9

45 to 54 years PCT035158 04 9

55 to 59 years PCT035159 04 9

60 to 64 years PCT035160 04 9

65 to 74 years PCT035161 04 9

75 to 84 years PCT035162 04 9

85 years and over PCT035163 04 9

7–48 Data Dictionary

U.S. Census Bureau, Census 2000
Table

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Data

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PCT36. GRANDPARENTS LIVING WITH OWN

GRANDCHILDREN UNDER 18 YEARS BY

RESPONSIBILITY FOR OWN GRANDCHILDREN BY

LENGTH OF TIME RESPONSIBLE FOR

GRANDCHILDREN FOR THE POPULATION

30 YEARS AND OVER IN HOUSEHOLDS [10]

Universe: Population 30 years and over in

households

Total: PCT036001 04 9

Living with own grandchildren under 18 years: PCT036002 04 9

Grandparent responsible for own grandchildren

under 18 years: PCT036003 04 9

Length of time —

Less than 6 months PCT036004 04 9

6 to 11 months PCT036005 04 9

1 or 2 years PCT036006 04 9

3 or 4 years PCT036007 04 9

5 years or more PCT036008 04 9

Grandparent not responsible for own

grandchildren under 18 years PCT036009 04 9

Not living with own grandchildren under 18 years PCT036010 04 9

PCT37. HOUSEHOLD RELATIONSHIP BY GRANDPARENTS

LIVING WITH OWN GRANDCHILDREN UNDER

18 YEARS BY RESPONSIBILITY FOR OWN

GRANDCHILDREN FOR THE POPULATION

30 YEARS AND OVER IN HOUSEHOLDS [16]

Universe: Population 30 years and over in

households

Total: PCT037001 04 9

Householder or spouse: PCT037002 04 9

Living with own grandchildren under 18 years: PCT037003 04 9

Grandparent responsible for own

grandchildren under 18 years PCT037004 04 9

Grandparent not responsible for own

grandchildren under 18 years PCT037005 04 9

Not living with own grandchildren under

18 years PCT037006 04 9

Parent or parent-in-law of householder: PCT037007 04 9

Living with own grandchildren under 18 years: PCT037008 04 9

Grandparent responsible for own

grandchildren under 18 years PCT037009 04 9

Grandparent not responsible for own

grandchildren under 18 years PCT037010 04 9

Not living with own grandchildren under

18 years PCT037011 04 9

Data Dictionary 7–49

U.S. Census Bureau, Census 2000
Table

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PCT37. HOUSEHOLD RELATIONSHIP BY GRANDPARENTS

LIVING WITH OWN GRANDCHILDREN UNDER

18 YEARS BY RESPONSIBILITY FOR OWN

GRANDCHILDREN FOR THE POPULATION

30 YEARS AND OVER IN HOUSEHOLDS

[16]—Con.

Total—Con.

Other relatives or nonrelatives of householder: PCT037012 04 9

Living with own grandchildren under

18 years: PCT037013 04 9

Grandparent responsible for own

grandchildren under 18 years PCT037014 04 9

Grandparent not responsible for own

grandchildren under 18 years PCT037015 04 9

Not living with own grandchildren under

18 years PCT037016 04 9

File 05 File Linking Fields (comma delimited)

Field name

Data

dictionary

reference

name

Max

size

Data

type

File Identification FILEID 6 A/N

State/U.S.-Abbreviation (USPS) STUSAB 2 A

Characteristic Iteration CHARITER 3 A/N

Characteristic Iteration File Sequence Number CIFSN 2 A/N

Logical Record Number LOGRECNO 7 N

PCT38. AGE BY LANGUAGE SPOKEN AT HOME BY

ABILITY TO SPEAK ENGLISH FOR THE

POPULATION 5 YEARS AND OVER [67]

Universe: Population 5 years and over

Total: PCT038001 05 9

5 to 17 years: PCT038002 05 9

Speak only English PCT038003 05 9

Speak Spanish: PCT038004 05 9

Speak English ‘‘very well’’ PCT038005 05 9

Speak English ‘‘well’’ PCT038006 05 9

Speak English ‘‘not well’’ PCT038007 05 9

Speak English ‘‘not at all’’ PCT038008 05 9

Speak other Indo-European languages: PCT038009 05 9

Speak English ‘‘very well’’ PCT038010 05 9

Speak English ‘‘well’’ PCT038011 05 9

Speak English ‘‘not well’’ PCT038012 05 9

Speak English ‘‘not at all’’ PCT038013 05 9

7–50 Data Dictionary

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PCT38. AGE BY LANGUAGE SPOKEN AT HOME BY

ABILITY TO SPEAK ENGLISH FOR THE

POPULATION 5 YEARS AND OVER [67]—Con.

Total—Con.

5 to 17 years—Con.

Speak Asian and Pacific Island languages: PCT038014 05 9

Speak English ‘‘very well’’ PCT038015 05 9

Speak English ‘‘well’’ PCT038016 05 9

Speak English ‘‘not well’’ PCT038017 05 9

Speak English ‘‘not at all’’ PCT038018 05 9

Speak other languages: PCT038019 05 9

Speak English ‘‘very well’’ PCT038020 05 9

Speak English ‘‘well’’ PCT038021 05 9

Speak English ‘‘not well’’ PCT038022 05 9

Speak English ‘‘not at all’’ PCT038023 05 9

18 to 64 years: PCT038024 05 9

Speak only English PCT038025 05 9

Speak Spanish: PCT038026 05 9

Speak English ‘‘very well’’ PCT038027 05 9

Speak English ‘‘well’’ PCT038028 05 9

Speak English ‘‘not well’’ PCT038029 05 9

Speak English ‘‘not at all’’ PCT038030 05 9

Speak other Indo-European languages: PCT038031 05 9

Speak English ‘‘very well’’ PCT038032 05 9

Speak English ‘‘well’’ PCT038033 05 9

Speak English ‘‘not well’’ PCT038034 05 9

Speak English ‘‘not at all’’ PCT038035 05 9

Speak Asian and Pacific Island languages: PCT038036 05 9

Speak English ‘‘very well’’ PCT038037 05 9

Speak English ‘‘well’’ PCT038038 05 9

Speak English ‘‘not well’’ PCT038039 05 9

Speak English ‘‘not at all’’ PCT038040 05 9

Speak other languages: PCT038041 05 9

Speak English ‘‘very well’’ PCT038042 05 9

Speak English ‘‘well’’ PCT038043 05 9

Speak English ‘‘not well’’ PCT038044 05 9

Speak English ‘‘not at all’’ PCT038045 05 9

65 years and over: PCT038046 05 9

Speak only English PCT038047 05 9

Speak Spanish: PCT038048 05 9

Speak English ‘‘very well’’ PCT038049 05 9

Speak English ‘‘well’’ PCT038050 05 9

Speak English ‘‘not well’’ PCT038051 05 9

Speak English ‘‘not at all’’ PCT038052 05 9

Data Dictionary 7–51

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PCT38. AGE BY LANGUAGE SPOKEN AT HOME BY

ABILITY TO SPEAK ENGLISH FOR THE

POPULATION 5 YEARS AND OVER [67]—Con.

Total—Con.

65 years and over—Con.

Speak other Indo-European languages: PCT038053 05 9

Speak English ‘‘very well’’ PCT038054 05 9

Speak English ‘‘well’’ PCT038055 05 9

Speak English ‘‘not well’’ PCT038056 05 9

Speak English ‘‘not at all’’ PCT038057 05 9

Speak Asian and Pacific Island languages: PCT038058 05 9

Speak English ‘‘very well’’ PCT038059 05 9

Speak English ‘‘well’’ PCT038060 05 9

Speak English ‘‘not well’’ PCT038061 05 9

Speak English ‘‘not at all’’ PCT038062 05 9

Speak other languages: PCT038063 05 9

Speak English ‘‘very well’’ PCT038064 05 9

Speak English ‘‘well’’ PCT038065 05 9

Speak English ‘‘not well’’ PCT038066 05 9

Speak English ‘‘not at all’’ PCT038067 05 9

PCT39. NATIVITY BY LANGUAGE SPOKEN AT HOME BY

ABILITY TO SPEAK ENGLISH FOR THE

POPULATION 5 YEARS AND OVER [45]

Universe: Population 5 years and over

Total: PCT039001 05 9

Native: PCT039002 05 9

Speak only English PCT039003 05 9

Speak Spanish: PCT039004 05 9

Speak English ‘‘very well’’ PCT039005 05 9

Speak English ‘‘well’’ PCT039006 05 9

Speak English ‘‘not well’’ PCT039007 05 9

Speak English ‘‘not at all’’ PCT039008 05 9

Speak other Indo-European languages: PCT039009 05 9

Speak English ‘‘very well’’ PCT039010 05 9

Speak English ‘‘well’’ PCT039011 05 9

Speak English ‘‘not well’’ PCT039012 05 9

Speak English ‘‘not at all’’ PCT039013 05 9

Speak Asian and Pacific Island languages: PCT039014 05 9

Speak English ‘‘very well’’ PCT039015 05 9

Speak English ‘‘well’’ PCT039016 05 9

Speak English ‘‘not well’’ PCT039017 05 9

Speak English ‘‘not at all’’ PCT039018 05 9

Speak other languages: PCT039019 05 9

Speak English ‘‘very well’’ PCT039020 05 9

Speak English ‘‘well’’ PCT039021 05 9

Speak English ‘‘not well’’ PCT039022 05 9

Speak English ‘‘not at all’’ PCT039023 05 9

7–52 Data Dictionary

U.S. Census Bureau, Census 2000
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Data

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PCT39. NATIVITY BY LANGUAGE SPOKEN AT HOME BY

ABILITY TO SPEAK ENGLISH FOR THE

POPULATION 5 YEARS AND OVER [45]—Con.

Total—Con.

Foreign born: PCT039024 05 9

Speak only English PCT039025 05 9

Speak Spanish: PCT039026 05 9

Speak English ‘‘very well’’ PCT039027 05 9

Speak English ‘‘well’’ PCT039028 05 9

Speak English ‘‘not well’’ PCT039029 05 9

Speak English ‘‘not at all’’ PCT039030 05 9

Speak other Indo-European languages: PCT039031 05 9

Speak English ‘‘very well’’ PCT039032 05 9

Speak English ‘‘well’’ PCT039033 05 9

Speak English ‘‘not well’’ PCT039034 05 9

Speak English ‘‘not at all’’ PCT039035 05 9

Speak Asian and Pacific Island languages: PCT039036 05 9

Speak English ‘‘very well’’ PCT039037 05 9

Speak English ‘‘well’’ PCT039038 05 9

Speak English ‘‘not well’’ PCT039039 05 9

Speak English ‘‘not at all’’ PCT039040 05 9

Speak other languages: PCT039041 05 9

Speak English ‘‘very well’’ PCT039042 05 9

Speak English ‘‘well’’ PCT039043 05 9

Speak English ‘‘not well’’ PCT039044 05 9

Speak English ‘‘not at all’’ PCT039045 05 9

PCT40. AGE BY LANGUAGE SPOKEN AT HOME FOR THE

POPULATION 5 YEARS AND OVER IN

LINGUISTICALLY ISOLATED HOUSEHOLDS [17]

Universe: Population 5 years and over in

linguistically isolated households

Total: PCT040001 05 9

5 to 17 years: PCT040002 05 9

Speak only English PCT040003 05 9

Speak Spanish PCT040004 05 9

Speak other Indo-European languages PCT040005 05 9

Speak Asian and Pacific Island languages PCT040006 05 9

Speak other languages PCT040007 05 9

18 to 64 years: PCT040008 05 9

Speak Spanish PCT040009 05 9

Speak other Indo-European languages PCT040010 05 9

Speak Asian and Pacific Island languages PCT040011 05 9

Speak other languages PCT040012 05 9

65 years and over: PCT040013 05 9

Speak Spanish PCT040014 05 9

Speak other Indo-European languages PCT040015 05 9

Speak Asian and Pacific Island languages PCT040016 05 9

Speak other languages PCT040017 05 9

Data Dictionary 7–53

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PCT41. LANGUAGE DENSITY BY LINGUISTIC ISOLATION

BY AGE FOR THE POPULATION 5 YEARS AND

OVER IN HOUSEHOLDS [28]

Universe: Population 5 years and over in households

Total: PCT041001 05 9

In households where all members speak English

only: PCT041002 05 9

5 to 17 years PCT041003 05 9

18 to 44 years PCT041004 05 9

45 to 64 years PCT041005 05 9

65 years and over PCT041006 05 9

In households where some members speak a

non-English language: PCT041007 05 9

Not linguistically isolated: PCT041008 05 9

5 to 17 years PCT041009 05 9

18 to 44 years PCT041010 05 9

45 to 64 years PCT041011 05 9

65 years and over PCT041012 05 9

Linguistically isolated: PCT041013 05 9

5 to 17 years PCT041014 05 9

18 to 44 years PCT041015 05 9

45 to 64 years PCT041016 05 9

65 years and over PCT041017 05 9

In households where all members speak a

non-English language: PCT041018 05 9

Not linguistically isolated: PCT041019 05 9

5 to 17 years PCT041020 05 9

18 to 44 years PCT041021 05 9

45 to 64 years PCT041022 05 9

65 years and over PCT041023 05 9

Linguistically isolated: PCT041024 05 9

5 to 17 years PCT041025 05 9

18 to 44 years PCT041026 05 9

45 to 64 years PCT041027 05 9

65 years and over PCT041028 05 9

PCT42. HOUSEHOLD LANGUAGE BY LINGUISTIC

ISOLATION [14]

Universe: Households

Total: PCT042001 05 9

English PCT042002 05 9

Spanish: PCT042003 05 9

Linguistically isolated PCT042004 05 9

Not linguistically isolated PCT042005 05 9

Other Indo-European languages: PCT042006 05 9

Linguistically isolated PCT042007 05 9

Not linguistically isolated PCT042008 05 9

Asian and Pacific Island languages: PCT042009 05 9

Linguistically isolated PCT042010 05 9

Not linguistically isolated PCT042011 05 9

7–54 Data Dictionary

U.S. Census Bureau, Census 2000
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PCT42. HOUSEHOLD LANGUAGE BY LINGUISTIC

ISOLATION [14]—Con.

Total—Con.

Other languages: PCT042012 05 9

Linguistically isolated PCT042013 05 9

Not linguistically isolated PCT042014 05 9

PCT43. SEX BY PLACE OF BIRTH BY CITIZENSHIP

STATUS [31]

Universe: Total population

Total: PCT043001 05 9

Male: PCT043002 05 9

Native: PCT043003 05 9

Born in state of residence in the United States PCT043004 05 9

Born in other state in the United States: PCT043005 05 9

Northeast PCT043006 05 9

Midwest PCT043007 05 9

South PCT043008 05 9

West PCT043009 05 9

Born outside the United States: PCT043010 05 9

Puerto Rico PCT043011 05 9

U.S. Island Areas PCT043012 05 9

Born abroad of American parent(s) PCT043013 05 9

Foreign born: PCT043014 05 9

Naturalized citizen PCT043015 05 9

Not a citizen PCT043016 05 9

Female: PCT043017 05 9

Native: PCT043018 05 9

Born in state of residence in the United States PCT043019 05 9

Born in other state in the United States: PCT043020 05 9

Northeast PCT043021 05 9

Midwest PCT043022 05 9

South PCT043023 05 9

West PCT043024 05 9

Born outside the United States: PCT043025 05 9

Puerto Rico PCT043026 05 9

U.S. Island Areas PCT043027 05 9

Born abroad of American parent(s) PCT043028 05 9

Foreign born: PCT043029 05 9

Naturalized citizen PCT043030 05 9

Not a citizen PCT043031 05 9

Data Dictionary 7–55

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PCT44. SEX BY AGE BY CITIZENSHIP STATUS [23]

Universe: Total population

Total: PCT044001 05 9

Male: PCT044002 05 9

Under 18 years: PCT044003 05 9

Native PCT044004 05 9

Foreign born: PCT044005 05 9

Naturalized citizen PCT044006 05 9

Not a citizen PCT044007 05 9

18 years and over: PCT044008 05 9

Native PCT044009 05 9

Foreign born: PCT044010 05 9

Naturalized citizen PCT044011 05 9

Not a citizen PCT044012 05 9

Female: PCT044013 05 9

Under 18 years: PCT044014 05 9

Native PCT044015 05 9

Foreign born: PCT044016 05 9

Naturalized citizen PCT044017 05 9

Not a citizen PCT044018 05 9

18 years and over: PCT044019 05 9

Native PCT044020 05 9

Foreign born: PCT044021 05 9

Naturalized citizen PCT044022 05 9

Not a citizen PCT044023 05 9

PCT45. SEX BY YEAR OF ENTRY FOR THE

FOREIGN-BORN POPULATION [19]

Universe: Foreign-born population

Total: PCT045001 05 9

Male: PCT045002 05 9

1995 to March 2000 PCT045003 05 9

1990 to 1994 PCT045004 05 9

1985 to 1989 PCT045005 05 9

1980 to 1984 PCT045006 05 9

1975 to 1979 PCT045007 05 9

1970 to 1974 PCT045008 05 9

1965 to 1969 PCT045009 05 9

Before 1965 PCT045010 05 9

Female: PCT045011 05 9

1995 to March 2000 PCT045012 05 9

1990 to 1994 PCT045013 05 9

1985 to 1989 PCT045014 05 9

1980 to 1984 PCT045015 05 9

1975 to 1979 PCT045016 05 9

1970 to 1974 PCT045017 05 9

1965 to 1969 PCT045018 05 9

Before 1965 PCT045019 05 9

7–56 Data Dictionary

U.S. Census Bureau, Census 2000
Table

number Table contents

Data

dictionary

reference

name

SegmentMax

size

File 06 File Linking Fields (comma delimited)

Field name

Data

dictionary

reference nameMax

size

Data

type

File Identification FILEID 6 A/N

State/U.S.-Abbreviation (USPS) STUSAB 2 A

Characteristic Iteration CHARITER 3 A/N

Characteristic Iteration File Sequence Number CIFSN 2 A/N

Logical Record Number LOGRECNO 7 N

PCT46. SEX BY YEAR OF ENTRY BY CITIZENSHIP STATUS

FOR THE FOREIGN-BORN POPULATION [21]

Universe: Foreign-born population

Total: PCT046001 06 9

Male: PCT046002 06 9

Year of entry 1990 to March 2000: PCT046003 06 9

Naturalized citizen PCT046004 06 9

Not a citizen PCT046005 06 9

Year of entry 1980 to 1989: PCT046006 06 9

Naturalized citizen PCT046007 06 9

Not a citizen PCT046008 06 9

Year of entry before 1980: PCT046009 06 9

Naturalized citizen PCT046010 06 9

Not a citizen PCT046011 06 9

Female: PCT046012 06 9

Year of entry 1990 to March 2000: PCT046013 06 9

Naturalized citizen PCT046014 06 9

Not a citizen PCT046015 06 9

Year of entry 1980 to 1989: PCT046016 06 9

Naturalized citizen PCT046017 06 9

Not a citizen PCT046018 06 9

Year of entry before 1980: PCT046019 06 9

Naturalized citizen PCT046020 06 9

Not a citizen PCT046021 06 9

PCT47. SEX BY PLACE OF BIRTH BY YEAR OF ENTRY

FOR THE FOREIGN-BORN POPULATION [89]

Universe: Foreign-born population

Total: PCT047001 06 9

Male: PCT047002 06 9

Europe: PCT047003 06 9

Year of entry 1990 to March 2000 PCT047004 06 9

Year of entry 1980 to 1989 PCT047005 06 9

Year of entry before 1980 PCT047006 06 9

Asia: PCT047007 06 9

Year of entry 1990 to March 2000 PCT047008 06 9

Year of entry 1980 to 1989 PCT047009 06 9

Year of entry before 1980 PCT047010 06 9

Data Dictionary 7–57

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PCT47. SEX BY PLACE OF BIRTH BY YEAR OF ENTRY

FOR THE FOREIGN-BORN POPULATION

[89]—Con.

Total—Con.

Male—Con.

Africa: PCT047011 06 9

Year of entry 1990 to March 2000 PCT047012 06 9

Year of entry 1980 to 1989 PCT047013 06 9

Year of entry before 1980 PCT047014 06 9

Oceania: PCT047015 06 9

Year of entry 1990 to March 2000 PCT047016 06 9

Year of entry 1980 to 1989 PCT047017 06 9

Year of entry before 1980 PCT047018 06 9

Americas: PCT047019 06 9

Latin America: PCT047020 06 9

Caribbean: PCT047021 06 9

Year of entry 1990 to March 2000 PCT047022 06 9

Year of entry 1980 to 1989 PCT047023 06 9

Year of entry before 1980 PCT047024 06 9

Central America: PCT047025 06 9

Mexico: PCT047026 06 9

Year of entry 1990 to March 2000 PCT047027 06 9

Year of entry 1980 to 1989 PCT047028 06 9

Year of entry before 1980 PCT047029 06 9

Other Central America: PCT047030 06 9

Year of entry 1990 to March 2000 PCT047031 06 9

Year of entry 1980 to 1989 PCT047032 06 9

Year of entry before 1980 PCT047033 06 9

South America: PCT047034 06 9

Year of entry 1990 to March 2000 PCT047035 06 9

Year of entry 1980 to 1989 PCT047036 06 9

Year of entry before 1980 PCT047037 06 9

Northern America: PCT047038 06 9

Year of entry 1990 to March 2000 PCT047039 06 9

Year of entry 1980 to 1989 PCT047040 06 9

Year of entry before 1980 PCT047041 06 9

Born at sea: PCT047042 06 9

Year of entry 1990 to March 2000 PCT047043 06 9

Year of entry 1980 to 1989 PCT047044 06 9

Year of entry before 1980 PCT047045 06 9

Female: PCT047046 06 9

Europe: PCT047047 06 9

Year of entry 1990 to March 2000 PCT047048 06 9

Year of entry 1980 to 1989 PCT047049 06 9

Year of entry before 1980 PCT047050 06 9

Asia: PCT047051 06 9

Year of entry 1990 to March 2000 PCT047052 06 9

Year of entry 1980 to 1989 PCT047053 06 9

Year of entry before 1980 PCT047054 06 9

7–58 Data Dictionary

U.S. Census Bureau, Census 2000
Table

number Table contents

Data

dictionary

reference

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SegmentMax

size

PCT47. SEX BY PLACE OF BIRTH BY YEAR OF ENTRY

FOR THE FOREIGN-BORN POPULATION

[89]—Con.

Total—Con.

Female—Con.

Africa: PCT047055 06 9

Year of entry 1990 to March 2000 PCT047056 06 9

Year of entry 1980 to 1989 PCT047057 06 9

Year of entry before 1980 PCT047058 06 9

Oceania: PCT047059 06 9

Year of entry 1990 to March 2000 PCT047060 06 9

Year of entry 1980 to 1989 PCT047061 06 9

Year of entry before 1980 PCT047062 06 9

Americas: PCT047063 06 9

Latin America: PCT047064 06 9

Caribbean: PCT047065 06 9

Year of entry 1990 to March 2000 PCT047066 06 9

Year of entry 1980 to 1989 PCT047067 06 9

Year of entry before 1980 PCT047068 06 9

Central America: PCT047069 06 9

Mexico: PCT047070 06 9

Year of entry 1990 to March 2000 PCT047071 06 9

Year of entry 1980 to 1989 PCT047072 06 9

Year of entry before 1980 PCT047073 06 9

Other Central America: PCT047074 06 9

Year of entry 1990 to March 2000 PCT047075 06 9

Year of entry 1980 to 1989 PCT047076 06 9

Year of entry before 1980 PCT047077 06 9

South America: PCT047078 06 9

Year of entry 1990 to March 2000 PCT047079 06 9

Year of entry 1980 to 1989 PCT047080 06 9

Year of entry before 1980 PCT047081 06 9

Northern America: PCT047082 06 9

Year of entry 1990 to March 2000 PCT047083 06 9

Year of entry 1980 to 1989 PCT047084 06 9

Year of entry before 1980 PCT047085 06 9

Born at sea: PCT047086 06 9

Year of entry 1990 to March 2000 PCT047087 06 9

Year of entry 1980 to 1989 PCT047088 06 9

Year of entry before 1980 PCT047089 06 9

Data Dictionary 7–59

U.S. Census Bureau, Census 2000
Table

number Table contents

Data

dictionary

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name

SegmentMax

size

PCT48. PLACE OF BIRTH BY YEAR OF ENTRY BY

CITIZENSHIP STATUS FOR THE

FOREIGN-BORN POPULATION [104]

Universe: Foreign-born population

Total: PCT048001 06 9

Europe: PCT048002 06 9

Year of entry 1990 to March 2000: PCT048003 06 9

Naturalized citizen PCT048004 06 9

Not a citizen PCT048005 06 9

Year of entry 1980 to 1989: PCT048006 06 9

Naturalized citizen PCT048007 06 9

Not a citizen PCT048008 06 9

Year of entry before 1980: PCT048009 06 9

Naturalized citizen PCT048010 06 9

Not a citizen PCT048011 06 9

Asia: PCT048012 06 9

Year of entry 1990 to March 2000: PCT048013 06 9

Naturalized citizen PCT048014 06 9

Not a citizen PCT048015 06 9

Year of entry 1980 to 1989: PCT048016 06 9

Naturalized citizen PCT048017 06 9

Not a citizen PCT048018 06 9

Year of entry before 1980: PCT048019 06 9

Naturalized citizen PCT048020 06 9

Not a citizen PCT048021 06 9

Africa: PCT048022 06 9

Year of entry 1990 to March 2000: PCT048023 06 9

Naturalized citizen PCT048024 06 9

Not a citizen PCT048025 06 9

Year of entry 1980 to 1989: PCT048026 06 9

Naturalized citizen PCT048027 06 9

Not a citizen PCT048028 06 9

Year of entry before 1980: PCT048029 06 9

Naturalized citizen PCT048030 06 9

Not a citizen PCT048031 06 9

Oceania: PCT048032 06 9

Year of entry 1990 to March 2000: PCT048033 06 9

Naturalized citizen PCT048034 06 9

Not a citizen PCT048035 06 9

Year of entry 1980 to 1989: PCT048036 06 9

Naturalized citizen PCT048037 06 9

Not a citizen PCT048038 06 9

Year of entry before 1980: PCT048039 06 9

Naturalized citizen PCT048040 06 9

Not a citizen PCT048041 06 9

7–60 Data Dictionary

U.S. Census Bureau, Census 2000
Table

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Data

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PCT48. PLACE OF BIRTH BY YEAR OF ENTRY BY

CITIZENSHIP STATUS FOR THE

FOREIGN-BORN POPULATION [104]—Con.

Total—Con.

Americas: PCT048042 06 9

Latin America: PCT048043 06 9

Caribbean: PCT048044 06 9

Year of entry 1990 to March 2000: PCT048045 06 9

Naturalized citizen PCT048046 06 9

Not a citizen PCT048047 06 9

Year of entry 1980 to 1989: PCT048048 06 9

Naturalized citizen PCT048049 06 9

Not a citizen PCT048050 06 9

Year of entry before 1980: PCT048051 06 9

Naturalized citizen PCT048052 06 9

Not a citizen PCT048053 06 9

Central America: PCT048054 06 9

Mexico: PCT048055 06 9

Year of entry 1990 to March 2000: PCT048056 06 9

Naturalized citizen PCT048057 06 9

Not a citizen PCT048058 06 9

Year of entry 1980 to 1989: PCT048059 06 9

Naturalized citizen PCT048060 06 9

Not a citizen PCT048061 06 9

Year of entry before 1980: PCT048062 06 9

Naturalized citizen PCT048063 06 9

Not a citizen PCT048064 06 9

Other Central America: PCT048065 06 9

Year of entry 1990 to March 2000: PCT048066 06 9

Naturalized citizen PCT048067 06 9

Not a citizen PCT048068 06 9

Year of entry 1980 to 1989: PCT048069 06 9

Naturalized citizen PCT048070 06 9

Not a citizen PCT048071 06 9

Year of entry before 1980: PCT048072 06 9

Naturalized citizen PCT048073 06 9

Not a citizen PCT048074 06 9

South America: PCT048075 06 9

Year of entry 1990 to March 2000: PCT048076 06 9

Naturalized citizen PCT048077 06 9

Not a citizen PCT048078 06 9

Year of entry 1980 to 1989: PCT048079 06 9

Naturalized citizen PCT048080 06 9

Not a citizen PCT048081 06 9

Year of entry before 1980: PCT048082 06 9

Naturalized citizen PCT048083 06 9

Not a citizen PCT048084 06 9

Data Dictionary 7–61

U.S. Census Bureau, Census 2000
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PCT48. PLACE OF BIRTH BY YEAR OF ENTRY BY

CITIZENSHIP STATUS FOR THE

FOREIGN-BORN POPULATION [104]—Con.

Total—Con.

Americas—Con.

Northern America: PCT048085 06 9

Year of entry 1990 to March 2000: PCT048086 06 9

Naturalized citizen PCT048087 06 9

Not a citizen PCT048088 06 9

Year of entry 1980 to 1989: PCT048089 06 9

Naturalized citizen PCT048090 06 9

Not a citizen PCT048091 06 9

Year of entry before 1980: PCT048092 06 9

Naturalized citizen PCT048093 06 9

Not a citizen PCT048094 06 9

Born at sea: PCT048095 06 9

Year of entry 1990 to March 2000: PCT048096 06 9

Naturalized citizen PCT048097 06 9

Not a citizen PCT048098 06 9

Year of entry 1980 to 1989: PCT048099 06 9

Naturalized citizen PCT048100 06 9

Not a citizen PCT048101 06 9

Year of entry before 1980: PCT048102 06 9

Naturalized citizen PCT048103 06 9

Not a citizen PCT048104 06 9

PCT49. RESIDENCE IN 1995 FOR THE POPULATION

5 YEARS AND OVER — STATE, COUNTY, AND

PLACE LEVEL [26]

Universe: Population 5 years and over

Total: PCT049001 06 9

Same house in 1995 PCT049002 06 9

Different house in 1995: PCT049003 06 9

In United States in 1995: PCT049004 06 9

Same city or town: PCT049005 06 9

Same county PCT049006 06 9

Different county (same state) PCT049007 06 9

Not same city or town: PCT049008 06 9

Same county PCT049009 06 9

Different county: PCT049010 06 9

Same state PCT049011 06 9

Different state: PCT049012 06 9

Northeast PCT049013 06 9

Midwest PCT049014 06 9

South PCT049015 06 9

West PCT049016 06 9

7–62 Data Dictionary

U.S. Census Bureau, Census 2000
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PCT49. RESIDENCE IN 1995 FOR THE POPULATION

5 YEARS AND OVER — STATE, COUNTY, AND

PLACE LEVEL [26]

Total—Con.

Different house in 1995—Con.

In Puerto Rico in 1995: PCT049017 06 9

Same city or town: PCT049018 06 9

Same municipio PCT049019 06 9

Different municipio PCT049020 06 9

Not same city or town: PCT049021 06 9

Same municipio PCT049022 06 9

Different municipio PCT049023 06 9

Elsewhere in 1995: PCT049024 06 9

U.S. Island Areas PCT049025 06 9

Foreign country or at sea PCT049026 06 9

File 07 File Linking Fields (comma delimited)

Field name

Data

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reference nameMax

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Data

type

File Identification FILEID 6 A/N

State/U.S.-Abbreviation (USPS) STUSAB 2 A

Characteristic Iteration CHARITER 3 A/N

Characteristic Iteration File Sequence Number CIFSN 2 A/N

Logical Record Number LOGRECNO 7 N

PCT50. RESIDENCE IN 1995 FOR THE POPULATION

5 YEARS AND OVER — MSA/PMSA LEVEL [43]

Universe: Population 5 years and over

Total: PCT050001 07 9

Living in an MSA/PMSA in 2000: PCT050002 07 9

Same house in 1995: PCT050003 07 9

Central city of this MSA/PMSA PCT050004 07 9

Remainder of this MSA/PMSA PCT050005 07 9

Different house in 1995: PCT050006 07 9

In United States in 1995: PCT050007 07 9

Same MSA/PMSA in 1995: PCT050008 07 9

Moved within same central city PCT050009 07 9

Moved between central cities PCT050010 07 9

Moved from central city to remainder of

this MSA/PMSA PCT050011 07 9

Moved from remainder of this MSA/PMSA

to central city PCT050012 07 9

Moved within remainder of this MSA/PMSA PCT050013 07 9

Different MSA/PMSA in 1995: PCT050014 07 9

Central city in different MSA/PMSA PCT050015 07 9

Remainder of different MSA/PMSA PCT050016 07 9

Not in an MSA/PMSA in 1995 PCT050017 07 9

Data Dictionary 7–63

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PCT50. RESIDENCE IN 1995 FOR THE POPULATION

5 YEARS AND OVER — MSA/PMSA LEVEL

[43]—Con.

Total—Con.

Living in an MSA/PMSA in 2000—Con.

Different house in 1995—Con.

In Puerto Rico in 1995: PCT050018 07 9

Same MSA/PMSA in 1995: PCT050019 07 9

Moved within same central city PCT050020 07 9

Moved between central cities CT050021 07 9

Moved from central city to remainder of

this MSA/PMSA PCT050022 07 9

Moved from remainder of this MSA/PMSA

to central city PCT050023 07 9

Moved within remainder of this MSA/PMSA PCT050024 07 9

Different MSA/PMSA in 1995: PCT050025 07 9

Central city in different MSA/PMSA PCT050026 07 9

Remainder of different MSA/PMSA PCT050027 07 9

Not in an MSA/PMSA in 1995 PCT050028 07 9

Elsewhere in 1995 PCT050029 07 9

Not living in an MSA/PMSA in 2000: PCT050030 07 9

Same house in 1995 PCT050031 07 9

Different house in 1995: PCT050032 07 9

In United States in 1995: PCT050033 07 9

In an MSA/PMSA in 1995: PCT050034 07 9

Central city PCT050035 07 9

Remainder of an MSA/PMSA PCT050036 07 9

Not in an MSA/PMSA in 1995 PCT050037 07 9

In Puerto Rico in 1995: PCT050038 07 9

In an MSA/PMSA in 1995: PCT050039 07 9

Central city PCT050040 07 9

Remainder of an MSA/PMSA PCT050041 07 9

Not in an MSA/PMSA in 1995 PCT050042 07 9

Elsewhere in 1995 PCT050043 07 9

PCT51. PLACE OF WORK FOR WORKERS 16 YEARS AND

OVER — STATE AND COUNTY LEVEL [5]

Universe: Workers 16 years and over

Total: PCT051001 07 9

Worked in state of residence: PCT051002 07 9

Worked in county of residence PCT051003 07 9

Worked outside county of residence PCT051004 07 9

Worked outside state of residence PCT051005 07 9

7–64 Data Dictionary

U.S. Census Bureau, Census 2000
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PCT52. PLACE OF WORK FOR WORKERS 16 YEARS AND

OVER — PLACE LEVEL [5]

Universe: Workers 16 years and over

Total: PCT052001 07 9

Living in a place: PCT052002 07 9

Worked in place of residence PCT052003 07 9

Worked outside place of residence PCT052004 07 9

Not living in a place PCT052005 07 9

PCT53. PLACE OF WORK FOR WORKERS 16 YEARS AND

OVER — MSA/PMSA LEVEL [25]

Universe: Workers 16 Years and over

Total: PCT053001 07 9

Living in an MSA/PMSA: PCT053002 07 9

Living in a central city: PCT053003 07 9

Worked in MSA/PMSA of residence: PCT053004 07 9

Central city PCT053005 07 9

Remainder of this MSA/PMSA PCT053006 07 9

Worked outside MSA/PMSA of residence: PCT053007 07 9

Worked in a different MSA/PMSA: PCT053008 07 9

Central city PCT053009 07 9

Remainder of different MSA/PMSA PCT053010 07 9

Worked outside any MSA/PMSA PCT053011 07 9

Living in remainder of an MSA/PMSA: PCT053012 07 9

Worked in MSA/PMSA of residence: PCT053013 07 9

Central city PCT053014 07 9

Remainder of this MSA/PMSA PCT053015 07 9

Worked outside MSA/PMSA of residence: PCT053016 07 9

Worked in a different MSA/PMSA: PCT053017 07 9

Central city PCT053018 07 9

Remainder of different MSA/PMSA PCT053019 07 9

Worked outside any MSA/PMSA PCT053020 07 9

Not living in an MSA/PMSA: PCT053021 07 9

Worked in an MSA/PMSA: PCT053022 07 9

Central city PCT053023 07 9

Remainder of MSA/PMSA PCT053024 07 9

Worked outside any MSA/PMSA PCT053025 07 9

PCT54. PLACE OF WORK FOR WORKERS 16 YEARS AND

OVER — MINOR CIVIL DIVISION LEVEL FOR

12 SELECTED STATES (CT, ME, MA, MI, MN, NH,

NJ, NY, PA, RI, VT, WI) [5]

Universe: Workers 16 years and over

Total: PCT054001 07 9

Living in the 12 selected states: PCT054002 07 9

Worked in minor civil division of residence PCT054003 07 9

Worked outside minor civil division of residence PCT054004 07 9

Not living in the 12 selected states PCT054005 07 9

Data Dictionary 7–65

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PCT55. MEANS OF TRANSPORTATION TO WORK FOR

WORKERS 16 YEARS AND OVER [16]

Universe: Workers 16 years and over

Total: PCT055001 07 9

Car, truck, or van: PCT055002 07 9

Drove alone PCT055003 07 9

Carpooled PCT055004 07 9

Public transportation: PCT055005 07 9

Bus or trolley bus PCT055006 07 9

Streetcar or trolley car (público in Puerto Rico) PCT055007 07 9

Subway or elevated PCT055008 07 9

Railroad PCT055009 07 9

Ferryboat PCT055010 07 9

Taxicab PCT055011 07 9

Motorcycle PCT055012 07 9

Bicycle PCT055013 07 9

Walked PCT055014 07 9

Other means PCT055015 07 9

Worked at home PCT055016 07 9

PCT56. TRAVEL TIME TO WORK FOR WORKERS

16 YEARS AND OVER [15]

Universe: Workers 16 years and over

Total: PCT056001 07 9

Did not work at home: PCT056002 07 9

Less than 5 minutes PCT056003 07 9

5 to 9 minutes PCT056004 07 9

10 to 14 minutes PCT056005 07 9

15 to 19 minutes PCT056006 07 9

20 to 24 minutes PCT056007 07 9

25 to 29 minutes PCT056008 07 9

30 to 34 minutes PCT056009 07 9

35 to 39 minutes PCT056010 07 9

40 to 44 minutes PCT056011 07 9

45 to 59 minutes PCT056012 07 9

60 to 89 minutes PCT056013 07 9

90 or more minutes PCT056014 07 9

Worked at home PCT056015 07 9

7–66 Data Dictionary

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PCT57. TRAVEL TIME TO WORK BY MEANS OF

TRANSPORTATION TO WORK FOR WORKERS

16 YEARS AND OVER WHO DID NOT WORK AT

HOME [13]

Universe: Workers 16 years and over who did not

work at home

Total: PCT057001 07 9

Less than 30 minutes: PCT057002 07 9

Public transportation PCT057003 07 9

Other means PCT057004 07 9

30 to 44 minutes: PCT057005 07 9

Public transportation PCT057006 07 9

Other means PCT057007 07 9

45 to 59 minutes: PCT057008 07 9

Public transportation PCT057009 07 9

Other means PCT057010 07 9

60 or more minutes: PCT057011 07 9

Public transportation PCT057012 07 9

Other means PCT057013 07 9

PCT58. AGGREGATE TRAVEL TIME TO WORK (IN

MINUTES) BY TRAVEL TIME TO WORK BY MEANS

OF TRANSPORTATION TO WORK FOR WORKERS

16 YEARS AND OVER WHO DID NOT WORK AT

HOME [13]

Universe: Workers 16 years and over who did not

work at home

Aggregate travel time to work (in minutes): PCT058001 07 15

Less than 30 minutes: PCT058002 07 15

Public transportation PCT058003 07 15

Other means PCT058004 07 15

30 to 44 minutes: PCT058005 07 15

Public transportation PCT058006 07 15

Other means PCT058007 07 12

45 to 59 minutes: PCT058008 07 15

Public transportation PCT058009 07 15

Other means PCT058010 07 15

60 or more minutes: PCT058011 07 15

Public transportation PCT058012 07 15

Other means PCT058013 07 15

Data Dictionary 7–67

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PCT59. TIME LEAVING HOME TO GO TO WORK FOR

WORKERS 16 YEARS AND OVER [17]

Universe: Workers 16 years and over

Total: PCT059001 07 9

Did not work at home: PCT059002 07 9

12:00 a.m. to 4:59 a.m. PCT059003 07 9

5:00 a.m. to 5:29 a.m. PCT059004 07 9

5:30 a.m. to 5:59 a.m. PCT059005 07 9

6:00 a.m. to 6:29 a.m. PCT059006 07 9

6:30 a.m. to 6:59 a.m. PCT059007 07 9

7:00 a.m. to 7:29 a.m. PCT059008 07 9

7:30 a.m. to 7:59 a.m. PCT059009 07 9

8:00 a.m. to 8:29 a.m. PCT059010 07 9

8:30 a.m. to 8:59 a.m. PCT059011 07 9

9:00 a.m. to 9:59 a.m. PCT059012 07 9

10:00 a.m. to 10:59 a.m. PCT059013 07 9

11:00 a.m. to 11:59 a.m. PCT059014 07 9

12:00 p.m. to 3:59 p.m. PCT059015 07 9

4:00 p.m. to 11:59 p.m. PCT059016 07 9

Worked at home PCT059017 07 9

PCT60. PRIVATE VEHICLE OCCUPANCY FOR WORKERS

16 YEARS AND OVER [10]

Universe: Workers 16 years and over

Total: PCT060001 07 9

Car, truck, or van: PCT060002 07 9

Drove alone PCT060003 07 9

Carpooled: PCT060004 07 9

In 2-person carpool PCT060005 07 9

In 3-person carpool PCT060006 07 9

In 4-person carpool PCT060007 07 9

In 5- or 6-person carpool PCT060008 07 9

In 7-or-more-person carpool PCT060009 07 9

Other means (including those who worked at

home) PCT060010 07 9

7–68 Data Dictionary

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PCT61. SEX BY SCHOOL ENROLLMENT BY LEVEL OF

SCHOOL BY TYPE OF SCHOOL FOR THE

POPULATION 3 YEARS AND OVER [47]

Universe: Population 3 years and over

Total: PCT061001 07 9

Male: PCT061002 07 9

Enrolled in nursery school, preschool: PCT061003 07 9

Public school PCT061004 07 9

Private school PCT061005 07 9

Enrolled in kindergarten: PCT061006 07 9

Public school PCT061007 07 9

Private school PCT061008 07 9

Enrolled in grade 1 to grade 4: PCT061009 07 9

Public school PCT061010 07 9

Private school PCT061011 07 9

Enrolled in grade 5 to grade 8: PCT061012 07 9

Public school PCT061013 07 9

Private school PCT061014 07 9

Enrolled in grade 9 to grade 12: PCT061015 07 9

Public school PCT061016 07 9

Private school PCT061017 07 9

Enrolled in college, undergraduate years: PCT061018 07 9

Public school PCT061019 07 9

Private school PCT061020 07 9

Enrolled in graduate or professional school: PCT061021 07 9

Public school PCT061022 07 9

Private school PCT061023 07 9

Not enrolled in school PCT061024 07 9

Female: PCT061025 07 9

Enrolled in nursery school, preschool: PCT061026 07 9

Public school PCT061027 07 9

Private school PCT061028 07 9

Enrolled in kindergarten: PCT061029 07 9

Public school PCT061030 07 9

Private school PCT061031 07 9

Enrolled in grade 1 to grade 4: PCT061032 07 9

Public school PCT061033 07 9

Private school PCT061034 07 9

Enrolled in grade 5 to grade 8: PCT061035 07 9

Public school PCT061036 07 9

Private school PCT061037 07 9

Enrolled in grade 9 to grade 12: PCT061038 07 9

Public school PCT061039 07 9

Private school PCT061040 07 9

Enrolled in college, undergraduate years: PCT061041 07 9

Public school PCT061042 07 9

Private school PCT061043 07 9

Enrolled in graduate or professional school: PCT061044 07 9

Public school PCT061045 07 9

Private school PCT061046 07 9

Not enrolled in school PCT061047 07 9

Data Dictionary 7–69

U.S. Census Bureau, Census 2000
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File 08 File Linking Fields (comma delimited)

Field name

Data

dictionary

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Data

type

File Identification FILEID 6 A/N

State/U.S.-Abbreviation (USPS) STUSAB 2 A

Characteristic Iteration CHARITER 3 A/N

Characteristic Iteration File Sequence Number CIFSN 2 A/N

Logical Record Number LOGRECNO 7 N

PCT62. SEX BY SCHOOL ENROLLMENT BY AGE FOR THE

POPULATION 3 YEARS AND OVER [39]

Universe: Population 3 years and over

Total: PCT062001 08 9

Male: PCT062002 08 9

Enrolled in school: PCT062003 08 9

3 and 4 years PCT062004 08 9

5 to 9 years PCT062005 08 9

10 to 14 years PCT062006 08 9

15 to 17 years PCT062007 08 9

18 and 19 years PCT062008 08 9

20 to 24 years PCT062009 08 9

25 to 34 years PCT062010 08 9

35 years and over PCT062011 08 9

Not enrolled in school: PCT062012 08 9

3 and 4 years PCT062013 08 9

5 to 9 years PCT062014 08 9

10 to 14 years PCT062015 08 9

15 to 17 years PCT062016 08 9

18 and 19 years PCT062017 08 9

20 to 24 years PCT062018 08 9

25 to 34 years PCT062019 08 9

35 years and over PCT062020 08 9

Female: PCT062021 08 9

Enrolled in school: PCT062022 08 9

3 and 4 years PCT062023 08 9

5 to 9 years PCT062024 08 9

10 to 14 years PCT062025 08 9

15 to 17 years PCT062026 08 9

18 and 19 years PCT062027 08 9

20 to 24 years PCT062028 08 9

25 to 34 years PCT062029 08 9

35 years and over PCT062030 08 9

7–70 Data Dictionary

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PCT62. SEX BY SCHOOL ENROLLMENT BY AGE FOR THE

POPULATION 3 YEARS AND OVER [39]—Con.

Total—Con.

Female—Con.

Not enrolled in school: PCT062031 08 9

3 and 4 years PCT062032 08 9

5 to 9 years PCT062033 08 9

10 to 14 years PCT062034 08 9

15 to 17 years PCT062035 08 9

18 and 19 years PCT062036 08 9

20 to 24 years PCT062037 08 9

25 to 34 years PCT062038 08 9

35 years and over PCT062039 08 9

PCT63. SEX BY COLLEGE OR GRADUATE SCHOOL

ENROLLMENT BY AGE FOR THE POPULATION

15 YEARS AND OVER [23]

Universe: Population 15 years and over

Total: PCT063001 08 9

Male: PCT063002 08 9

Enrolled in college or graduate school: PCT063003 08 9

15 to 17 years PCT063004 08 9

18 to 24 years PCT063005 08 9

25 to 34 years PCT063006 08 9

35 years and over PCT063007 08 9

Not enrolled in college or graduate school: PCT063008 08 9

15 to 17 years PCT063009 08 9

18 to 24 years PCT063010 08 9

25 to 34 years PCT063011 08 9

35 years and over PCT063012 08 9

Female: PCT063013 08 9

Enrolled in college or graduate school: PCT063014 08 9

15 to 17 years PCT063015 08 9

18 to 24 years PCT063016 08 9

25 to 34 years PCT063017 08 9

35 years and over PCT063018 08 9

Not enrolled in college or graduate school: PCT063019 08 9

15 to 17 years PCT063020 08 9

18 to 24 years PCT063021 08 9

25 to 34 years PCT063022 08 9

35 years and over PCT063023 08 9

Data Dictionary 7–71

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PCT64. SEX BY EDUCATIONAL ATTAINMENT FOR THE

POPULATION 25 YEARS AND OVER [35]

Universe: Population 25 years and over

Total: PCT064001 08 9

Male: PCT064002 08 9

No schooling completed PCT064003 08 9

Nursery to 4th grade PCT064004 08 9

5th and 6th grade PCT064005 08 9

7th and 8th grade PCT064006 08 9

9th grade PCT064007 08 9

10th grade PCT064008 08 9

11th grade PCT064009 08 9

12th grade, no diploma PCT064010 08 9

High school graduate (includes equivalency) PCT064011 08 9

Some college, less than 1 year PCT064012 08 9

Some college, 1 or more years, no degree PCT064013 08 9

Associate degree PCT064014 08 9

Bachelor’s degree PCT064015 08 9

Master’s degree PCT064016 08 9

Professional school degree PCT064017 08 9

Doctorate degree PCT064018 08 9

Female: PCT064019 08 9

No schooling completed PCT064020 08 9

Nursery to 4th grade PCT064021 08 9

5th and 6th grade PCT064022 08 9

7th and 8th grade PCT064023 08 9

9th grade PCT064024 08 9

10th grade PCT064025 08 9

11th grade PCT064026 08 9

12th grade, no diploma PCT064027 08 9

High school graduate (includes equivalency) PCT064028 08 9

Some college, less than 1 year PCT064029 08 9

Some college, 1 or more years, no degree PCT064030 08 9

Associate degree PCT064031 08 9

Bachelor’s degree PCT064032 08 9

Master’s degree PCT064033 08 9

Professional school degree PCT064034 08 9

Doctorate degree PCT064035 08 9

7–72 Data Dictionary

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PCT65. SEX BY AGE BY EDUCATIONAL ATTAINMENT

FOR THE POPULATION 18 YEARS AND OVER

[83]

Universe: Population 18 years and over

Total: PCT065001 08 9

Male: PCT065002 08 9

18 to 24 years: PCT065003 08 9

Less than 9th grade PCT065004 08 9

9th to 12th grade, no diploma PCT065005 08 9

High school graduate (includes equivalency) PCT065006 08 9

Some college, no degree PCT065007 08 9

Associate degree PCT065008 08 9

Bachelor’s degree PCT065009 08 9

Graduate or professional degree PCT065010 08 9

25 to 34 years: PCT065011 08 9

Less than 9th grade PCT065012 08 9

9th to 12th grade, no diploma PCT065013 08 9

High school graduate (includes equivalency) PCT065014 08 9

Some college, no degree PCT065015 08 9

Associate degree PCT065016 08 9

Bachelor’s degree PCT065017 08 9

Graduate or professional degree PCT065018 08 9

35 to 44 years: PCT065019 08 9

Less than 9th grade PCT065020 08 9

9th to 12th grade, no diploma PCT065021 08 9

High school graduate (includes equivalency) PCT065022 08 9

Some college, no degree PCT065023 08 9

Associate degree PCT065024 08 9

Bachelor’s degree PCT065025 08 9

Graduate or professional degree PCT065026 08 9

45 to 64 years: PCT065027 08 9

Less than 9th grade PCT065028 08 9

9th to 12th grade, no diploma PCT065029 08 9

High school graduate (includes equivalency) PCT065030 08 9

Some college, no degree PCT065031 08 9

Associate degree PCT065032 08 9

Bachelor’s degree PCT065033 08 9

Graduate or professional degree PCT065034 08 9

65 years and over: PCT065035 08 9

Less than 9th grade PCT065036 08 9

9th to 12th grade, no diploma PCT065037 08 9

High school graduate (includes equivalency) PCT065038 08 9

Some college, no degree PCT065039 08 9

Associate degree PCT065040 08 9

Bachelor’s degree PCT065041 08 9

Graduate or professional degree PCT065042 08 9

Data Dictionary 7–73

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PCT65. SEX BY AGE BY EDUCATIONAL ATTAINMENT

FOR THE POPULATION 18 YEARS AND OVER

[83]—Con.

Total—Con.

Female: PCT065043 08 9

18 to 24 years: PCT065044 08 9

Less than 9th grade PCT065045 08 9

9th to 12th grade, no diploma PCT065046 08 9

High school graduate (includes equivalency) PCT065047 08 9

Some college, no degree PCT065048 08 9

Associate degree PCT065049 08 9

Bachelor’s degree PCT065050 08 9

Graduate or professional degree PCT065051 08 9

25 to 34 years: PCT065052 08 9

Less than 9th grade PCT065053 08 9

9th to 12th grade, no diploma PCT065054 08 9

High school graduate (includes equivalency) PCT065055 08 9

Some college, no degree PCT065056 08 9

Associate degree PCT065057 08 9

Bachelor’s degree PCT065058 08 9

Graduate or professional degree PCT065059 08 9

35 to 44 years: PCT065060 08 9

Less than 9th grade PCT065061 08 9

9th to 12th grade, no diploma PCT065062 08 9

High school graduate (includes equivalency) PCT065063 08 9

Some college, no degree PCT065064 08 9

Associate degree PCT065065 08 9

Bachelor’s degree PCT065066 08 9

Graduate or professional degree PCT065067 08 9

45 to 64 years: PCT065068 08 9

Less than 9th grade PCT065069 08 9

9th to 12th grade, no diploma PCT065070 08 9

High school graduate (includes equivalency) PCT065071 08 9

Some college, no degree PCT065072 08 9

Associate degree PCT065073 08 9

Bachelor’s degree PCT065074 08 9

Graduate or professional degree PCT065075 08 9

65 years and over: CT065076 08 9

Less than 9th grade PCT065077 08 9

9th to 12th grade, no diploma PCT065078 08 9

High school graduate (includes equivalency) PCT065079 08 9

Some college, no degree PCT065080 08 9

Associate degree PCT065081 08 9

Bachelor’s degree PCT065082 08 9

Graduate or professional degree PCT065083 08 9

7–74 Data Dictionary

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PCT66. SEX BY ARMED FORCES STATUS BY SCHOOL

ENROLLMENT BY EDUCATIONAL ATTAINMENT

BY EMPLOYMENT STATUS FOR THE

POPULATION 16 TO 19 YEARS [45]

Universe: Population 16 to 19 years

Total: PCT066001 08 9

Male: PCT066002 08 9

In Armed Forces: PCT066003 08 9

Enrolled in school: PCT066004 08 9

High school graduate PCT066005 08 9

Not high school graduate PCT066006 08 9

Not enrolled in school: PCT066007 08 9

High school graduate PCT066008 08 9

Not high school graduate PCT066009 08 9

Civilian: PCT066010 08 9

Enrolled in school: PCT066011 08 9

Employed PCT066012 08 9

Unemployed PCT066013 08 9

Not in labor force PCT066014 08 9

Not enrolled in school: PCT066015 08 9

High school graduate: PCT066016 08 9

Employed PCT066017 08 9

Unemployed PCT066018 08 9

Not in labor force PCT066019 08 9

Not high school graduate: PCT066020 08 9

Employed PCT066021 08 9

Unemployed PCT066022 08 9

Not in labor force PCT066023 08 9

Female: PCT066024 08 9

In Armed Forces: PCT066025 08 9

Enrolled in school: PCT066026 08 9

High school graduate PCT066027 08 9

Not high school graduate PCT066028 08 9

Not enrolled in school: PCT066029 08 9

High school graduate PCT066030 08 9

Not high school graduate PCT066031 08 9

Civilian: PCT066032 08 9

Enrolled in school: PCT066033 08 9

Employed PCT066034 08 9

Unemployed PCT066035 08 9

Not in labor force PCT066036 08 9

Not enrolled in school: PCT066037 08 9

High school graduate: PCT066038 08 9

Employed PCT066039 08 9

Unemployed PCT066040 08 9

Not in labor force PCT066041 08 9

Not high school graduate: PCT066042 08 9

Employed PCT066043 08 9

Unemployed PCT066044 08 9

Not in labor force PCT066045 08 9

Data Dictionary 7–75

U.S. Census Bureau, Census 2000
Table

number Table contents

Data

dictionary

reference

name

SegmentMax

size

PCT67. SEX BY AGE BY ARMED FORCES STATUS BY

VETERAN STATUS FOR THE POPULATION

18 YEARS AND OVER [23]

Universe: Population 18 years and over

Total: PCT067001 08 9

Male: PCT067002 08 9

18 to 64 years: PCT067003 08 9

In Armed Forces PCT067004 08 9

Civilian: PCT067005 08 9

Veteran PCT067006 08 9

Nonveteran PCT067007 08 9

65 years and over: PCT067008 08 9

In Armed Forces PCT067009 08 9

Civilian: PCT067010 08 9

Veteran PCT067011 08 9

Nonveteran PCT067012 08 9

Female: PCT067013 08 9

18 to 64 years: PCT067014 08 9

In Armed Forces PCT067015 08 9

Civilian: PCT067016 08 9

Veteran PCT067017 08 9

Nonveteran PCT067018 08 9

65 years and over: PCT067019 08 9

In Armed Forces PCT067020 08 9

Civilian: PCT067021 08 9

Veteran PCT067022 08 9

Nonveteran PCT067023 08 9

File 09 File Linking Fields (comma delimited)

Field name

Data

dictionary

reference name Max

size

Data

type

File Identification FILEID 6 A/N

State/U.S.-Abbreviation (USPS) STUSAB 2 A

Characteristic Iteration CHARITER 3 A/N

Characteristic Iteration File Sequence Number CIFSN 2 A/N

Logical Record Number LOGRECNO 7 N

7–76 Data Dictionary

U.S. Census Bureau, Census 2000
Table

number Table contents

Data

dictionary

reference

name

SegmentMax

size

PCT68. PERIOD OF MILITARY SERVICE FOR CIVILIAN

VETERANS 18 YEARS AND OVER [21]

Universe: Civilian veterans 18 years and over

Total: PCT068001 09 9

August 1990 or later (including Persian Gulf War): PCT068002 09 9

Served in Vietnam era PCT068003 09 9

No Vietnam era service: PCT068004 09 9

Served September 1980 or later only: PCT068005 09 9

Served under 2 years PCT068006 09 9

Served 2 or more years PCT068007 09 9

Served prior to September 1980 PCT068008 09 9

May 1975 to July 1990 only: PCT068009 09 9

September 1980 to July 1990 only: PCT068010 09 9

Served under 2 years PCT068011 09 9

Served 2 or more years PCT068012 09 9

Other May 1975 to July 1990 service PCT068013 09 9

Vietnam era, no Korean War, no World War II, no

August 1990 or later PCT068014 09 9

Vietnam era and Korean War, no World War II, no

August 1990 or later PCT068015 09 9

Vietnam era, Korean War, and World War II, no

August 1990 or later PCT068016 09 9

February 1955 to July 1964 only PCT068017 09 9

Korean War, no Vietnam era, no World War II PCT068018 09 9

Korean War and World War II, no Vietnam era PCT068019 09 9

World War II, no Korean War, no Vietnam era PCT068020 09 9

Other service only PCT068021 09 9

PCT69. SEX BY AGE BY TYPES OF DISABILITY FOR THE

CIVILIAN NONINSTITUTIONALIZED POPULATION

5 YEARS AND OVER [101]

Universe: Civilian noninstitutionalized population

5 years and over

Total: PCT069001 09 9

Male: PCT069002 09 9

5 to 15 years: PCT069003 09 9

With one type of disability: PCT069004 09 9

Sensory disability PCT069005 09 9

Physical disability PCT069006 09 9

Mental disability PCT069007 09 9

Self-care disability PCT069008 09 9

With two or more types of disability: PCT069009 09 9

Includes self-care disability PCT069010 09 9

Does not include self-care disability PCT069011 09 9

No disability PCT069012 09 9

Data Dictionary 7–77

U.S. Census Bureau, Census 2000
Table

number Table contents

Data

dictionary

reference

name

SegmentMax

size

PCT69. SEX BY AGE BY TYPES OF DISABILITY FOR THE

CIVILIAN NONINSTITUTIONALIZED POPULATION

5 YEARS AND OVER [101]—Con.

Total—Con.

Male—Con.

16 to 20 years: PCT069013 09 9

With one type of disability: PCT069014 09 9

Sensory disability PCT069015 09 9

Physical disability PCT069016 09 9

Mental disability PCT069017 09 9

Self-care disability PCT069018 09 9

Go-outside-home disability PCT069019 09 9

Employment disability PCT069020 09 9

With two or more types of disability: PCT069021 09 9

Includes self-care disability PCT069022 09 9

Does not include self-care disability: PCT069023 09 9

Go-outside home and employment only PCT069024 09 9

Other combination PCT069025 09 9

No disability PCT069026 09 9

21 to 64 years: PCT069027 09 9

With one type of disability: PCT069028 09 9

Sensory disability PCT069029 09 9

Physical disability PCT069030 09 9

Mental disability PCT069031 09 9

Self-care disability PCT069032 09 9

Go-outside-home disability PCT069033 09 9

Employment disability PCT069034 09 9

With two or more types of disability: PCT069035 09 9

Includes self-care disability PCT069036 09 9

Does not include self-care disability: PCT069037 09 9

Go-outside home and employment only PCT069038 09 9

Other combination PCT069039 09 9

No disability PCT069040 09 9

65 years and over: PCT069041 09 9

With one type of disability: PCT069042 09 9

Sensory disability PCT069043 09 9

Physical disability PCT069044 09 9

Mental disability PCT069045 09 9

Self-care disability PCT069046 09 9

Go-outside-home disability PCT069047 09 9

With two or more types of disability: PCT069048 09 9

Includes self-care disability PCT069049 09 9

Does not include self-care disability PCT069050 09 9

No disability PCT069051 09 9

7–78 Data Dictionary

U.S. Census Bureau, Census 2000
Table

number Table contents

Data

dictionary

reference

name

SegmentMax

size

PCT69. SEX BY AGE BY TYPES OF DISABILITY FOR THE

CIVILIAN NONINSTITUTIONALIZED POPULATION

5 YEARS AND OVER [101]—Con.

Total—Con.

Female: PCT069052 09 9

5 to 15 years: PCT069053 09 9

With one type of disability: PCT069054 09 9

Sensory disability PCT069055 09 9

Physical disability PCT069056 09 9

Mental disability PCT069057 09 9

Self-care disability PCT069058 09 9

With two or more types of disability: PCT069059 09 9

Includes self-care disability PCT069060 09 9

Does not include self-care disability PCT069061 09 9

No disability PCT069062 09 9

16 to 20 years: PCT069063 09 9

With one type of disability: PCT069064 09 9

Sensory disability PCT069065 09 9

Physical disability PCT069066 09 9

Mental disability PCT069067 09 9

Self-care disability PCT069068 09 9

Go-outside-home disability PCT069069 09 9

Employment disability PCT069070 09 9

With two or more types of disability: PCT069071 09 9

Includes self-care disability PCT069072 09 9

Does not include self-care disability: PCT069073 09 9

Go-outside home and employment only PCT069074 09 9

Other combination PCT069075 09 9

No disability PCT069076 09 9

21 to 64 years: PCT069077 09 9

With one type of disability: PCT069078 09 9

Sensory disability PCT069079 09 9

Physical disability PCT069080 09 9

Mental disability PCT069081 09 9

Self-care disability PCT069082 09 9

Go-outside-home disability PCT069083 09 9

Employment disability PCT069084 09 9

With two or more types of disability: PCT069085 09 9

Includes self-care disability PCT069086 09 9

Does not include self-care disability: PCT069087 09 9

Go-outside home and employment only PCT069088 09 9

Other combination PCT069089 09 9

No disability PCT069090 09 9

Data Dictionary 7–79

U.S. Census Bureau, Census 2000
Table

number Table contents

Data

dictionary

reference

name

SegmentMax

size

PCT69. SEX BY AGE BY TYPES OF DISABILITY FOR THE

CIVILIAN NONINSTITUTIONALIZED POPULATION

5 YEARS AND OVER [101]—Con.

Total—Con.

Female—Con.

65 years and over: PCT069091 09 9

With one type of disability: PCT069092 09 9

Sensory disability PCT069093 09 9

Physical disability PCT069094 09 9

Mental disability PCT069095 09 9

Self-care disability PCT069096 09 9

Go-outside-home disability PCT069097 09 9

With two or more types of disability: PCT069098 09 9

Includes self-care disability PCT069099 09 9

Does not include self-care disability PCT069100 09 9

No disability PCT069101 09 9

PCT70. SEX BY AGE BY DISABILITY STATUS BY

EMPLOYMENT STATUS FOR THE CIVILIAN

NONINSTITUTIONALIZED POPULATION 5 YEARS

AND OVER [49]

Universe: Civilian noninstitutionalized population

5 years and over

Total: PCT070001 09 9

Male: PCT070002 09 9

5 to 15 years: PCT070003 09 9

With a disability PCT070004 09 9

No disability PCT070005 09 9

16 to 20 years: PCT070006 09 9

With a disability: PCT070007 09 9

Employed PCT070008 09 9

Not employed PCT070009 09 9

No disability: PCT070010 09 9

Employed PCT070011 09 9

Not employed PCT070012 09 9

21 to 64 years: PCT070013 09 9

With a disability: PCT070014 09 9

Employed PCT070015 09 9

Not employed PCT070016 09 9

No disability: PCT070017 09 9

Employed PCT070018 09 9

Not employed PCT070019 09 9

65 to 74 years: PCT070020 09 9

With a disability PCT070021 09 9

No disability PCT070022 09 9

75 years and over: PCT070023 09 9

With a disability PCT070024 09 9

No disability PCT070025 09 9

7–80 Data Dictionary

U.S. Census Bureau, Census 2000
Table

number Table contents

Data

dictionary

reference

name

SegmentMax

size

PCT70. SEX BY AGE BY DISABILITY STATUS BY

EMPLOYMENT STATUS FOR THE CIVILIAN

NONINSTITUTIONALIZED POPULATION 5 YEARS

AND OVER [49]—Con.

Total—Con.

Female: PCT070026 09 9

5 to 15 years: PCT070027 09 9

With a disability PCT070028 09 9

No disability PCT070029 09 9

16 to 20 years: PCT070030 09 9

With a disability: PCT070031 09 9

Employed PCT070032 09 9

Not employed PCT070033 09 9

No disability: PCT070034 09 9

Employed PCT070035 09 9

Not employed PCT070036 09 9

21 to 64 years: PCT070037 09 9

With a disability: PCT070038 09 9

Employed PCT070039 09 9

Not employed PCT070040 09 9

No disability: PCT070041 09 9

Employed PCT070042 09 9

Not employed PCT070043 09 9

65 to 74 years: PCT070044 09 9

With a disability PCT070045 09 9

No disability PCT070046 09 9

75 years and over: PCT070047 09 9

With a disability PCT070048 09 9

No disability PCT070049 09 9

PCT71. SEX BY AGE BY SENSORY DISABILITY BY

EMPLOYMENT STATUS FOR THE CIVILIAN

NONINSTITUTIONALIZED POPULATION 5 YEARS

AND OVER [49]

Universe: Civilian noninstitutionalized population

5 years and over

Total: PCT071001 09 9

Male: PCT071002 09 9

5 to 15 years: PCT071003 09 9

With a sensory disability PCT071004 09 9

No sensory disability PCT071005 09 9

16 to 20 years: PCT071006 09 9

With a sensory disability: PCT071007 09 9

Employed PCT071008 09 9

Not employed PCT071009 09 9

No sensory disability: PCT071010 09 9

Employed PCT071011 09 9

Not employed PCT071012 09 9

Data Dictionary 7–81

U.S. Census Bureau, Census 2000
Table

number Table contents

Data

dictionary

reference

name

SegmentMax

size

PCT71. SEX BY AGE BY SENSORY DISABILITY BY

EMPLOYMENT STATUS FOR THE CIVILIAN

NONINSTITUTIONALIZED POPULATION 5 YEARS

AND OVER [49]—Con.

Total—Con.

Male—Con.

21 to 64 years: PCT071013 09 9

With a sensory disability: PCT071014 09 9

Employed PCT071015 09 9

Not employed PCT071016 09 9

No sensory disability: PCT071017 09 9

Employed PCT071018 09 9

Not employed PCT071019 09 9

65 to 74 years: PCT071020 09 9

With a sensory disability PCT071021 09 9

No sensory disability PCT071022 09 9

75 years and over: PCT071023 09 9

With a sensory disability PCT071024 09 9

No sensory disability PCT071025 09 9

Female: PCT071026 09 9

5 to 15 years: PCT071027 09 9

With a sensory disability PCT071028 09 9

No sensory disability PCT071029 09 9

16 to 20 years: PCT071030 09 9

With a sensory disability: PCT071031 09 9

Employed PCT071032 09 9

Not employed PCT071033 09 9

No sensory disability: PCT071034 09 9

Employed PCT071035 09 9

Not employed PCT071036 09 9

21 to 64 years: PCT071037 09 9

With a sensory disability: PCT071038 09 9

Employed PCT071039 09 9

Not employed PCT071040 09 9

No sensory disability: PCT071041 09 9

Employed PCT071042 09 9

Not employed PCT071043 09 9

65 to 74 years: PCT071044 09 9

With a sensory disability PCT071045 09 9

No sensory disability PCT071046 09 9

75 years and over: PCT071047 09 9

With a sensory disability PCT071048 09 9

No sensory disability PCT071049 09 9

7–82 Data Dictionary

U.S. Census Bureau, Census 2000
Table

number Table contents

Data

dictionary

reference

name

SegmentMax

size

File 10 File Linking Fields (comma delimited)

Field name

Data

dictionary

reference nameMax

size

Data

type

File Identification FILEID 6 A/N

State/U.S.-Abbreviation (USPS) STUSAB 2 A

Characteristic Iteration CHARITER 3 A/N

Characteristic Iteration File Sequence Number CIFSN 2 A/N

Logical Record Number LOGRECNO 7 N

PCT72. SEX BY AGE BY PHYSICAL DISABILITY BY

EMPLOYMENT STATUS FOR THE CIVILIAN

NONINSTITUTIONALIZED POPULATION 5 YEARS

AND OVER [49]

Universe: Civilian noninstitutionalized population

5 years and over

Total: PCT072001 10 9

Male: PCT072002 10 9

5 to 15 years: PCT072003 10 9

With a physical disability PCT072004 10 9

No physical disability PCT072005 10 9

16 to 20 years: PCT072006 10 9

With a physical disability: PCT072007 10 9

Employed PCT072008 10 9

Not employed PCT072009 10 9

No physical disability: PCT072010 10 9

Employed PCT072011 10 9

Not employed PCT072012 10 9

21 to 64 years: PCT072013 10 9

With a physical disability: PCT072014 10 9

Employed PCT072015 10 9

Not employed PCT072016 10 9

No physical disability: PCT072017 10 9

Employed PCT072018 10 9

Not employed PCT072019 10 9

65 to 74 years: PCT072020 10 9

With a physical disability PCT072021 10 9

No physical disability PCT072022 10 9

75 years and over: PCT072023 10 9

With a physical disability PCT072024 10 9

No physical disability PCT072025 10 9

Female: PCT072026 10 9

5 to 15 years: PCT072027 10 9

With a physical disability PCT072028 10 9

No physical disability PCT072029 10 9

Data Dictionary 7–83

U.S. Census Bureau, Census 2000
Table

number Table contents

Data

dictionary

reference

name

SegmentMax

size

PCT72. SEX BY AGE BY PHYSICAL DISABILITY BY

EMPLOYMENT STATUS FOR THE CIVILIAN

NONINSTITUTIONALIZED POPULATION 5 YEARS

AND OVER [49]—Con.

Total—Con.

Female—Con.

16 to 20 years: PCT072030 10 9

With a physical disability: PCT072031 10 9

Employed PCT072032 10 9

Not employed PCT072033 10 9

No physical disability: PCT072034 10 9

Employed PCT072035 10 9

Not employed PCT072036 10 9

21 to 64 years: PCT072037 10 9

With a physical disability: PCT072038 10 9

Employed PCT072039 10 9

Not employed PCT072040 10 9

No physical disability: PCT072041 10 9

Employed PCT072042 10 9

Not employed PCT072043 10 9

65 to 74 years: PCT072044 10 9

With a physical disability PCT072045 10 9

No physical disability PCT072046 10 9

75 years and over: PCT072047 10 9

With a physical disability PCT072048 10 9

No physical disability PCT072049 10 9

PCT73. SEX BY AGE BY MENTAL DISABILITY BY

EMPLOYMENT STATUS FOR THE CIVILIAN

NONINSTITUTIONALIZED POPULATION 5 YEARS

AND OVER [49]

Universe: Civilian noninstitutionalized population

5 years and over

Total: PCT073001 10 9

Male: PCT073002 10 9

5 to 15 years: PCT073003 10 9

With a mental disability PCT073004 10 9

No mental disability PCT073005 10 9

16 to 20 years: PCT073006 10 9

With a mental disability: PCT073007 10 9

Employed PCT073008 10 9

Not employed PCT073009 10 9

No mental disability: PCT073010 10 9

Employed PCT073011 10 9

Not employed PCT073012 10 9

7–84 Data Dictionary

U.S. Census Bureau, Census 2000
Table

number Table contents

Data

dictionary

reference

name

SegmentMax

size

PCT73. SEX BY AGE BY MENTAL DISABILITY BY

EMPLOYMENT STATUS FOR THE CIVILIAN

NONINSTITUTIONALIZED POPULATION 5 YEARS

AND OVER [49]—Con.

Total—Con.

Male—Con.

21 to 64 years: PCT073013 10 9

With a mental disability: PCT073014 10 9

Employed PCT073015 10 9

Not employed PCT073016 10 9

No mental disability: PCT073017 10 9

Employed PCT073018 10 9

Not employed PCT073019 10 9

65 to 74 years: PCT073020 10 9

With a mental disability PCT073021 10 9

No mental disability PCT073022 10 9

75 years and over: PCT073023 10 9

With a mental disability PCT073024 10 9

No mental disability PCT073025 10 9

Female: PCT073026 10 9

5 to 15 years: PCT073027 10 9

With a mental disability PCT073028 10 9

No mental disability PCT073029 10 9

16 to 20 years: PCT073030 10 9

With a mental disability: PCT073031 10 9

Employed PCT073032 10 9

Not employed PCT073033 10 9

No mental disability: PCT073034 10 9

Employed PCT073035 10 9

Not employed PCT073036 10 9

21 to 64 years: PCT073037 10 9

With a mental disability: PCT073038 10 9

Employed PCT073039 10 9

Not employed PCT073040 10 9

No mental disability: PCT073041 10 9

Employed PCT073042 10 9

Not employed PCT073043 10 9

65 to 74 years: PCT073044 10 9

With a mental disability PCT073045 10 9

No mental disability PCT073046 10 9

75 years and over: PCT073047 10 9

With a mental disability PCT073048 10 9

No mental disability PCT073049 10 9

Data Dictionary 7–85

U.S. Census Bureau, Census 2000
Table

number Table contents

Data

dictionary

reference

name

SegmentMax

size

PCT74. SEX BY AGE BY SELF-CARE DISABILITY BY

EMPLOYMENT STATUS FOR THE CIVILIAN

NONINSTITUTIONALIZED POPULATION 5 YEARS

AND OVER [49]

Universe: Civilian noninstitutionalized population

5 years and over

Total: PCT074001 10 9

Male: PCT074002 10 9

5 to 15 years: PCT074003 10 9

With a self-care disability PCT074004 10 9

No self-care disability PCT074005 10 9

16 to 20 years: PCT074006 10 9

With a self-care disability: PCT074007 10 9

Employed PCT074008 10 9

Not employed PCT074009 10 9

No self-care disability: PCT074010 10 9

Employed PCT074011 10 9

Not employed PCT074012 10 9

21 to 64 years: PCT074013 10 9

With a self-care disability: PCT074014 10 9

Employed PCT074015 10 9

Not employed PCT074016 10 9

No self-care disability: PCT074017 10 9

Employed PCT074018 10 9

Not employed PCT074019 10 9

65 to 74 years: PCT074020 10 9

With a self-care disability PCT074021 10 9

No self-care disability PCT074022 10 9

75 years and over: PCT074023 10 9

With a self-care disability PCT074024 10 9

No self-care disability PCT074025 10 9

Female: PCT074026 10 9

5 to 15 years: PCT074027 10 9

With a self-care disability PCT074028 10 9

No self-care disability PCT074029 10 9

16 to 20 years: PCT074030 10 9

With a self-care disability: PCT074031 10 9

Employed PCT074032 10 9

Not employed PCT074033 10 9

No self-care disability: PCT074034 10 9

Employed PCT074035 10 9

Not employed PCT074036 10 9

21 to 64 years: PCT074037 10 9

With a self-care disability: PCT074038 10 9

Employed PCT074039 10 9

Not employed PCT074040 10 9

No self-care disability: PCT074041 10 9

Employed PCT074042 10 9

Not employed PCT074043 10 9

7–86 Data Dictionary

U.S. Census Bureau, Census 2000
Table

number Table contents

Data

dictionary

reference

name

SegmentMax

size

PCT74. SEX BY AGE BY SELF-CARE DISABILITY BY

EMPLOYMENT STATUS FOR THE CIVILIAN

NONINSTITUTIONALIZED POPULATION 5 YEARS

AND OVER [49]—Con.

Total—Con.

Female—Con.

65 to 74 years: PCT074044 10 9

With a self-care disability PCT074045 10 9

No self-care disability PCT074046 10 9

75 years and over: PCT074047 10 9

With a self-care disability PCT074048 10 9

No self-care disability PCT074049 10 9

PCT75. SEX BY AGE BY GO-OUTSIDE-HOME DISABILITY

BY EMPLOYMENT STATUS FOR THE CIVILIAN

NONINSTITUTIONALIZED POPULATION

16 YEARS AND OVER [43]

Universe: Civilian noninstitutionalized population

16 years and over

Total: PCT075001 10 9

Male: PCT075002 10 9

16 to 20 years: PCT075003 10 9

With a go-outside-home disability: PCT075004 10 9

Employed PCT075005 10 9

Not employed PCT075006 10 9

No go-outside-home disability: PCT075007 10 9

Employed PCT075008 10 9

Not employed PCT075009 10 9

21 to 64 years: PCT075010 10 9

With a go-outside-home disability: PCT075011 10 9

Employed PCT075012 10 9

Not employed PCT075013 10 9

No go-outside-home disability: PCT075014 10 9

Employed PCT075015 10 9

Not employed PCT075016 10 9

65 to 74 years: PCT075017 10 9

With a go-outside-home disability PCT075018 10 9

No go-outside-home disability PCT075019 10 9

75 years and over: PCT075020 10 9

With a go-outside-home disability PCT075021 10 9

No go-outside-home disability PCT075022 10 9

Female: PCT075023 10 9

16 to 20 years: PCT075024 10 9

With a go-outside-home disability: PCT075025 10 9

Employed PCT075026 10 9

Not employed PCT075027 10 9

No go-outside-home disability: PCT075028 10 9

Employed PCT075029 10 9

Not employed PCT075030 10 9

Data Dictionary 7–87

U.S. Census Bureau, Census 2000
Table

number Table contents

Data

dictionary

reference

name

SegmentMax

size

PCT75. SEX BY AGE BY GO-OUTSIDE-HOME DISABILITY

BY EMPLOYMENT STATUS FOR THE CIVILIAN

NONINSTITUTIONALIZED POPULATION

16 YEARS AND OVER [43]—Con.

Total—Con.

Female—Con.

21 to 64 years: PCT075031 10 9

With a go-outside-home disability: PCT075032 10 9

Employed PCT075033 10 9

Not employed PCT075034 10 9

No go-outside-home disability: PCT075035 10 9

Employed PCT075036 10 9

Not employed PCT075037 10 9

65 to 74 years: PCT075038 10 9

With a go-outside-home disability PCT075039 10 9

No go-outside-home disability PCT075040 10 9

75 years and over: PCT075041 10 9

With a go-outside-home disability PCT075042 10 9

No go-outside-home disability PCT075043 10 9

PCT76. SEX BY AGE BY EMPLOYMENT DISABILITY BY

EMPLOYMENT STATUS FOR THE CIVILIAN

NONINSTITUTIONALIZED POPULATION 16 TO

64 YEARS [31]

Universe: Civilian noninstitutionalized population

16 to 64 years

Total: PCT076001 10 9

Male: PCT076002 10 9

16 to 20 years: PCT076003 10 9

With an employment disability: PCT076004 10 9

Employed PCT076005 10 9

Not employed PCT076006 10 9

No employment disability: PCT076007 10 9

Employed PCT076008 10 9

Not employed PCT076009 10 9

21 to 64 years: PCT076010 10 9

With an employment disability: PCT076011 10 9

Employed PCT076012 10 9

Not employed PCT076013 10 9

No employment disability: PCT076014 10 9

Employed PCT076015 10 9

Not employed PCT076016 10 9

Female: PCT076017 10 9

16 to 20 years: PCT076018 10 9

With an employment disability: PCT076019 10 9

Employed PCT076020 10 9

Not employed PCT076021 10 9

No employment disability: PCT076022 10 9

Employed PCT076023 10 9

Not employed PCT076024 10 9

7–88 Data Dictionary

U.S. Census Bureau, Census 2000
Table

number Table contents

Data

dictionary

reference

name

SegmentMax

size

PCT76. SEX BY AGE BY EMPLOYMENT DISABILITY BY

EMPLOYMENT STATUS FOR THE CIVILIAN

NONINSTITUTIONALIZED POPULATION 16 TO

64 YEARS [31]—Con.

Total—Con.

Female—Con.

21 to 64 years: PCT076025 10 9

With an employment disability: PCT076026 10 9

Employed PCT076027 10 9

Not employed PCT076028 10 9

No employment disability: PCT076029 10 9

Employed PCT076030 10 9

Not employed PCT076031 10 9

File 11 File Linking Fields (comma delimited)

Field name

Data

dictionary

reference

name

Max

size

Data

type

File Identification FILEID 6 A/N

State/U.S.-Abbreviation (USPS) STUSAB 2 A

Characteristic Iteration CHARITER 3 A/N

Characteristic Iteration File Sequence Number CIFSN 2 A/N

Logical Record Number LOGRECNO 7 N

PCT77. SEX BY DISABILITY STATUS BY SCHOOL

ENROLLMENT BY EDUCATIONAL ATTAINMENT

FOR THE CIVILIAN NONINSTITUTIONALIZED

POPULATION 18 TO 34 YEARS [47]

Universe: Civilian noninstitutionalized population

18 to 34 years

Total: PCT077001 11 9

Male: PCT077002 11 9

With a disability: PCT077003 11 9

Enrolled in school: PCT077004 11 9

Below college PCT077005 11 9

College or graduate school PCT077006 11 9

Not enrolled in school: PCT077007 11 9

Not high school graduate PCT077008 11 9

High school graduate (includes equivalency) PCT077009 11 9

Some college, no degree PCT077010 11 9

Associate degree PCT077011 11 9

Bachelor’s degree PCT077012 11 9

Graduate or professional degree PCT077013 11 9

No disability: PCT077014 11 9

Enrolled in school: PCT077015 11 9

Below college PCT077016 11 9

College or graduate school PCT077017 11 9

Data Dictionary 7–89

U.S. Census Bureau, Census 2000
Table

number Table contents

Data

dictionary

reference

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PCT77. SEX BY DISABILITY STATUS BY SCHOOL

ENROLLMENT BY EDUCATIONAL ATTAINMENT

FOR THE CIVILIAN NONINSTITUTIONALIZED

POPULATION 18 TO 34 YEARS [47]—Con.

Total—Con.

Male—Con.

No disability—Con.

Not enrolled in school: PCT077018 11 9

Not high school graduate PCT077019 11 9

High school graduate (includes equivalency) PCT077020 11 9

Some college, no degree PCT077021 11 9

Associate degree PCT077022 11 9

Bachelor’s degree PCT077023 11 9

Graduate or professional degree PCT077024 11 9

Female: PCT077025 11 9

With a disability: PCT077026 11 9

Enrolled in school: PCT077027 11 9

Below college PCT077028 11 9

College or graduate school PCT077029 11 9

Not enrolled in school: PCT077030 11 9

Not high school graduate PCT077031 11 9

High school graduate (includes equivalency) PCT077032 11 9

Some college, no degree PCT077033 11 9

Associate degree PCT077034 11 9

Bachelor’s degree PCT077035 11 9

Graduate or professional degree PCT077036 11 9

No disability: PCT077037 11 9

Enrolled in school: PCT077038 11 9

Below college PCT077039 11 9

College or graduate school PCT077040 11 9

Not enrolled in school: PCT077041 11 9

Not high school graduate PCT077042 11 9

High school graduate (includes equivalency) PCT077043 11 9

Some college, no degree PCT077044 11 9

Associate degree PCT077045 11 9

Bachelor’s degree PCT077046 11 9

Graduate or professional degree PCT077047 11 9

7–90 Data Dictionary

U.S. Census Bureau, Census 2000
Table

number Table contents

Data

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size

PCT78. SEX BY AGE BY DISABILITY STATUS BY POVERTY

STATUS FOR THE CIVILIAN

NONINSTITUTIONALIZED POPULATION 5 YEARS

AND OVER [59]

Universe: Civilian noninstitutionalized population

5 years and over for whom poverty status is

determined

Total: PCT078001 11 9

Male: PCT078002 11 9

5 to 15 years: PCT078003 11 9

With a disability: PCT078004 11 9

Income in 1999 below poverty level PCT078005 11 9

Income in 1999 at or above poverty level PCT078006 11 9

No disability: PCT078007 11 9

Income in 1999 below poverty level PCT078008 11 9

Income in 1999 at or above poverty level PCT078009 11 9

16 to 20 years: PCT078010 11 9

With a disability: PCT078011 11 9

Income in 1999 below poverty level PCT078012 11 9

Income in 1999 at or above poverty level PCT078013 11 9

No disability: PCT078014 11 9

Income in 1999 below poverty level PCT078015 11 9

Income in 1999 at or above poverty level PCT078016 11 9

21 to 64 years: PCT078017 11 9

With a disability: PCT078018 11 9

Income in 1999 below poverty level PCT078019 11 9

Income in 1999 at or above poverty level PCT078020 11 9

No disability: PCT078021 11 9

Income in 1999 below poverty level PCT078022 11 9

Income in 1999 at or above poverty level PCT078023 11 9

65 years and over: PCT078024 11 9

With a disability: PCT078025 11 9

Income in 1999 below poverty level PCT078026 11 9

Income in 1999 at or above poverty level PCT078027 11 9

No disability: PCT078028 11 9

Income in 1999 below poverty level PCT078029 11 9

Income in 1999 at or above poverty level PCT078030 11 9

Female: PCT078031 11 9

5 to 15 years: PCT078032 11 9

With a disability: PCT078033 11 9

Income in 1999 below poverty level PCT078034 11 9

Income in 1999 at or above poverty level PCT078035 11 9

No disability: PCT078036 11 9

Income in 1999 below poverty level PCT078037 11 9

Income in 1999 at or above poverty level PCT078038 11 9

Data Dictionary 7–91

U.S. Census Bureau, Census 2000
Table

number Table contents

Data

dictionary

reference

name

SegmentMax

size

PCT78. SEX BY AGE BY DISABILITY STATUS BY POVERTY

STATUS FOR THE CIVILIAN

NONINSTITUTIONALIZED POPULATION 5 YEARS

AND OVER [59]—Con.

Total—Con.

Female—Con.

16 to 20 years: PCT078039 11 9

With a disability: PCT078040 11 9

Income in 1999 below poverty level PCT078041 11 9

Income in 1999 at or above poverty level PCT078042 11 9

No disability: PCT078043 11 9

Income in 1999 below poverty level PCT078044 11 9

Income in 1999 at or above poverty level PCT078045 11 9

21 to 64 years: PCT078046 11 9

With a disability: PCT078047 11 9

Income in 1999 below poverty level PCT078048 11 9

Income in 1999 at or above poverty level PCT078049 11 9

No disability: PCT078050 11 9

Income in 1999 below poverty level PCT078051 11 9

Income in 1999 at or above poverty level PCT078052 11 9

65 years and over: PCT078053 11 9

With a disability: PCT078054 11 9

Income in 1999 below poverty level PCT078055 11 9

Income in 1999 at or above poverty level PCT078056 11 9

No disability: PCT078057 11 9

Income in 1999 below poverty level PCT078058 11 9

Income in 1999 at or above poverty level PCT078059 11 9

File 12 File Linking Fields (comma delimited)

Field name

Data

dictionary

reference name Max

size

Data

type

File Identification FILEID 6 A/N

State/U.S.-Abbreviation (USPS) STUSAB 2 A

Characteristic Iteration CHARITER 3 A/N

Characteristic Iteration File Sequence Number CIFSN 2 A/N

Logical Record Number LOGRECNO 7 N

7–92 Data Dictionary

U.S. Census Bureau, Census 2000
Table

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Data

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PCT79. SEX BY AGE BY EMPLOYMENT STATUS FOR THE

POPULATION 16 YEARS AND OVER [185]

Universe: Population 16 years and over

Total: PCT079001 12 9

Male: PCT079002 12 9

16 to 19 years: PCT079003 12 9

In labor force: PCT079004 12 9

In Armed Forces PCT079005 12 9

Civilian: PCT079006 12 9

Employed PCT079007 12 9

Unemployed PCT079008 12 9

Not in labor force PCT079009 12 9

20 to 21 years: PCT079010 12 9

In labor force: PCT079011 12 9

In Armed Forces PCT079012 12 9

Civilian: PCT079013 12 9

Employed PCT079014 12 9

Unemployed PCT079015 12 9

Not in labor force PCT079016 12 9

22 to 24 years: PCT079017 12 9

In labor force: PCT079018 12 9

In Armed Forces PCT079019 12 9

Civilian: PCT079020 12 9

Employed PCT079021 12 9

Unemployed PCT079022 12 9

Not in labor force PCT079023 12 9

25 to 29 years: PCT079024 12 9

In labor force: PCT079025 12 9

In Armed Forces PCT079026 12 9

Civilian: PCT079027 12 9

Employed PCT079028 12 9

Unemployed PCT079029 12 9

Not in labor force PCT079030 12 9

30 to 34 years: PCT079031 12 9

In labor force: PCT079032 12 9

In Armed Forces PCT079033 12 9

Civilian: PCT079034 12 9

Employed PCT079035 12 9

Unemployed PCT079036 12 9

Not in labor force PCT079037 12 9

35 to 44 years: PCT079038 12 9

In labor force: PCT079039 12 9

In Armed Forces PCT079040 12 9

Civilian: PCT079041 12 9

Employed PCT079042 12 9

Unemployed PCT079043 12 9

Not in labor force PCT079044 12 9

Data Dictionary 7–93

U.S. Census Bureau, Census 2000
Table

number Table contents

Data

dictionary

reference

name

SegmentMax

size

PCT79. SEX BY AGE BY EMPLOYMENT STATUS FOR THE

POPULATION 16 YEARS AND OVER [185]—Con.

Total—Con.

Male—Con.

45 to 54 years: PCT079045 12 9

In labor force: PCT079046 12 9

In Armed Forces PCT079047 12 9

Civilian: PCT079048 12 9

Employed PCT079049 12 9

Unemployed PCT079050 12 9

Not in labor force PCT079051 12 9

55 to 59 years: PCT079052 12 9

In labor force: PCT079053 12 9

In Armed Forces PCT079054 12 9

Civilian: PCT079055 12 9

Employed PCT079056 12 9

Unemployed PCT079057 12 9

Not in labor force PCT079058 12 9

60 to 61 years: PCT079059 12 9

In labor force: PCT079060 12 9

In Armed Forces PCT079061 12 9

Civilian: PCT079062 12 9

Employed PCT079063 12 9

Unemployed PCT079064 12 9

Not in labor force PCT079065 12 9

62 to 64 years: PCT079066 12 9

In labor force: PCT079067 12 9

In Armed Forces PCT079068 12 9

Civilian: PCT079069 12 9

Employed PCT079070 12 9

Unemployed PCT079071 12 9

Not in labor force PCT079072 12 9

65 to 69 years: PCT079073 12 9

In labor force: PCT079074 12 9

In Armed Forces PCT079075 12 9

Civilian: PCT079076 12 9

Employed PCT079077 12 9

Unemployed PCT079078 12 9

Not in labor force PCT079079 12 9

70 to 74 years: PCT079080 12 9

In labor force: PCT079081 12 9

In Armed Forces PCT079082 12 9

Civilian: PCT079083 12 9

Employed PCT079084 12 9

Unemployed PCT079085 12 9

Not in labor force PCT079086 12 9

7–94 Data Dictionary

U.S. Census Bureau, Census 2000
Table

number Table contents

Data

dictionary

reference

name

SegmentMax

size

PCT79. SEX BY AGE BY EMPLOYMENT STATUS FOR THE

POPULATION 16 YEARS AND OVER [185]—Con.

Total—Con.

Male—Con.

75 years and over: PCT079087 12 9

In labor force: PCT079088 12 9

In Armed Forces PCT079089 12 9

Civilian: PCT079090 12 9

Employed PCT079091 12 9

Unemployed PCT079092 12 9

Not in labor force PCT079093 12 9

Female: PCT079094 12 9

16 to 19 years: PCT079095 12 9

In labor force: PCT079096 12 9

In Armed Forces PCT079097 12 9

Civilian: PCT079098 12 9

Employed PCT079099 12 9

Unemployed PCT079100 12 9

Not in labor force PCT079101 12 9

20 to 21 years: PCT079102 12 9

In labor force: PCT079103 12 9

In Armed Forces PCT079104 12 9

Civilian: PCT079105 12 9

Employed PCT079106 12 9

Unemployed PCT079107 12 9

Not in labor force PCT079108 12 9

22 to 24 years: PCT079109 12 9

In labor force: PCT079110 12 9

In Armed Forces PCT079111 12 9

Civilian: PCT079112 12 9

Employed PCT079113 12 9

Unemployed PCT079114 12 9

Not in labor force PCT079115 12 9

25 to 29 years: PCT079116 12 9

In labor force: PCT079117 12 9

In Armed Forces PCT079118 12 9

Civilian: PCT079119 12 9

Employed PCT079120 12 9

Unemployed PCT079121 12 9

Not in labor force PCT079122 12 9

30 to 34 years: PCT079123 12 9

In labor force: PCT079124 12 9

In Armed Forces PCT079125 12 9

Civilian: PCT079126 12 9

Employed PCT079127 12 9

Unemployed PCT079128 12 9

Not in labor force PCT079129 12 9

Data Dictionary 7–95

U.S. Census Bureau, Census 2000
Table

number Table contents

Data

dictionary

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SegmentMax

size

PCT79. SEX BY AGE BY EMPLOYMENT STATUS FOR THE

POPULATION 16 YEARS AND OVER [185]—Con.

Total—Con.

Female—Con.

35 to 44 years: PCT079130 12 9

In labor force: PCT079131 12 9

In Armed Forces PCT079132 12 9

Civilian: PCT079133 12 9

Employed PCT079134 12 9

Unemployed PCT079135 12 9

Not in labor force PCT079136 12 9

45 to 54 years: PCT079137 12 9

In labor force: PCT079138 12 9

In Armed Forces PCT079139 12 9

Civilian: PCT079140 12 9

Employed PCT079141 12 9

Unemployed PCT079142 12 9

Not in labor force PCT079143 12 9

55 to 59 years: PCT079144 12 9

In labor force: PCT079145 12 9

In Armed Forces PCT079146 12 9

Civilian: PCT079147 12 9

Employed PCT079148 12 9

Unemployed PCT079149 12 9

Not in labor force PCT079150 12 9

60 to 61 years: PCT079151 12 9

In labor force: PCT079152 12 9

In Armed Forces PCT079153 12 9

Civilian: PCT079154 12 9

Employed PCT079155 12 9

Unemployed PCT079156 12 9

Not in labor force PCT079157 12 9

62 to 64 years: PCT079158 12 9

In labor force: PCT079159 12 9

In Armed Forces PCT079160 12 9

Civilian: PCT079161 12 9

Employed PCT079162 12 9

Unemployed PCT079163 12 9

Not in labor force PCT079164 12 9

65 to 69 years: PCT079165 12 9

In labor force: PCT079166 12 9

In Armed Forces PCT079167 12 9

Civilian: PCT079168 12 9

Employed PCT079169 12 9

Unemployed PCT079170 12 9

Not in labor force PCT079171 12 9

7–96 Data Dictionary

U.S. Census Bureau, Census 2000
Table

number Table contents

Data

dictionary

reference

name

SegmentMax

size

PCT79. SEX BY AGE BY EMPLOYMENT STATUS FOR THE

POPULATION 16 YEARS AND OVER [185]—Con.

Total—Con.

Female—Con.

70 to 74 years: PCT079172 12 9

In labor force: PCT079173 12 9

In Armed Forces PCT079174 12 9

Civilian: PCT079175 12 9

Employed PCT079176 12 9

Unemployed PCT079177 12 9

Not in labor force PCT079178 12 9

75 years and over: PCT079179 12 9

In labor force: PCT079180 12 9

In Armed Forces PCT079181 12 9

Civilian: PCT079182 12 9

Employed PCT079183 12 9

Unemployed PCT079184 12 9

Not in labor force PCT079185 12 9

PCT80. PRESENCE OF OWN CHILDREN UNDER 18 YEARS

BY AGE OF OWN CHILDREN BY EMPLOYMENT

STATUS FOR FEMALES 16 YEARS AND OVER [22]

Universe: Females 16 years and over

Total: PCT080001 12 9

With own children under 18 years: PCT080002 12 9

Under 6 years only: PCT080003 12 9

In labor force: PCT080004 12 9

Employed or in Armed Forces PCT080005 12 9

Unemployed PCT080006 12 9

Not in labor force PCT080007 12 9

Under 6 years and 6 to 17 years: PCT080008 12 9

In labor force: PCT080009 12 9

Employed or in Armed Forces PCT080010 12 9

Unemployed PCT080011 12 9

Not in labor force PCT080012 12 9

6 to 17 years only: PCT080013 12 9

In labor force: PCT080014 12 9

Employed or in Armed Forces PCT080015 12 9

Unemployed PCT080016 12 9

Not in labor force PCT080017 12 9

No own children under 18 years: PCT080018 12 9

In labor force: PCT080019 12 9

Employed or in Armed Forces PCT080020 12 9

Unemployed PCT080021 12 9

Not in labor force PCT080022 12 9

Data Dictionary 7–97

U.S. Census Bureau, Census 2000
Table

number Table contents

Data

dictionary

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name

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size

PCT81. AGE OF OWN CHILDREN UNDER 18 YEARS IN

FAMILIES AND SUBFAMILIES BY LIVING

ARRANGEMENTS BY EMPLOYMENT STATUS OF

PARENTS [27]

Universe: Own children under 18 years in families

and subfamilies

Total: PCT081001 12 9

Under 6 years: PCT081002 12 9

Living with two parents: PCT081003 12 9

Both parents in labor force PCT081004 12 9

Father only in labor force PCT081005 12 9

Mother only in labor force PCT081006 12 9

Neither parent in labor force PCT081007 12 9

Living with one parent: PCT081008 12 9

Living with father: PCT081009 12 9

In labor force PCT081010 12 9

Not in labor force PCT081011 12 9

Living with mother: PCT081012 12 9

In labor force PCT081013 12 9

Not in labor force PCT081014 12 9

6 to 17 years: PCT081015 12 9

Living with two parents: PCT081016 12 9

Both parents in labor force PCT081017 12 9

Father only in labor force PCT081018 12 9

Mother only in labor force PCT081019 12 9

Neither parent in labor force PCT081020 12 9

Living with one parent: PCT081021 12 9

Living with father: PCT081022 12 9

In labor force PCT081023 12 9

Not in labor force PCT081024 12 9

Living with mother: PCT081025 12 9

In labor force PCT081026 12 9

Not in labor force PCT081027 12 9

File 13 File Linking Fields (comma delimited)

Field name

Data

dictionary

reference

name

Max

size

Data

type

File Identification FILEID 6 A/N

State/U.S.-Abbreviation (USPS) STUSAB 2 A

Characteristic Iteration CHARITER 3 A/N

Characteristic Iteration File Sequence Number CIFSN 2 A/N

Logical Record Number LOGRECNO 7 N

7–98 Data Dictionary

U.S. Census Bureau, Census 2000
Table

number Table contents

Data

dictionary

reference

name

SegmentMax

size

PCT82. SEX BY WORK STATUS IN 1999 BY USUAL

HOURS WORKED PER WEEK IN 1999 BY WEEKS

WORKED IN 1999 FOR THE POPULATION

16 YEARS AND OVER [49]

Universe: Population 16 years and over

Total: PCT082001 13 9

Male: PCT082002 13 9

Worked in 1999: PCT082003 13 9

Usually worked 35 or more hours per week: PCT082004 13 9

50 to 52 weeks PCT082005 13 9

48 and 49 weeks PCT082006 13 9

40 to 47 weeks PCT082007 13 9

27 to 39 weeks PCT082008 13 9

14 to 26 weeks PCT082009 13 9

1 to 13 weeks PCT082010 13 9

Usually worked 15 to 34 hours per week: PCT082011 13 9

50 to 52 weeks PCT082012 13 9

48 and 49 weeks PCT082013 13 9

40 to 47 weeks PCT082014 13 9

27 to 39 weeks PCT082015 13 9

14 to 26 weeks PCT082016 13 9

1 to 13 weeks PCT082017 13 9

Usually worked 1 to 14 hours per week: PCT082018 13 9

50 to 52 weeks PCT082019 13 9

48 and 49 weeks PCT082020 13 9

40 to 47 weeks PCT082021 13 9

27 to 39 weeks PCT082022 13 9

14 to 26 weeks PCT082023 13 9

1 to 13 weeks PCT082024 13 9

Did not work in 1999 PCT082025 13 9

Female: PCT082026 13 9

Worked in 1999: PCT082027 13 9

Usually worked 35 or more hours per week: PCT082028 13 9

50 to 52 weeks PCT082029 13 9

48 and 49 weeks PCT082030 13 9

40 to 47 weeks PCT082031 13 9

27 to 39 weeks PCT082032 13 9

14 to 26 weeks PCT082033 13 9

1 to 13 weeks PCT082034 13 9

Usually worked 15 to 34 hours per week: PCT082035 13 9

50 to 52 weeks PCT082036 13 9

48 and 49 weeks PCT082037 13 9

40 to 47 weeks PCT082038 13 9

27 to 39 weeks PCT082039 13 9

14 to 26 weeks PCT082040 13 9

1 to 13 weeks PCT082041 13 9

Data Dictionary 7–99

U.S. Census Bureau, Census 2000
Table

number Table contents

Data

dictionary

reference

name

SegmentMax

size

PCT82. SEX BY WORK STATUS IN 1999 BY USUAL

HOURS WORKED PER WEEK IN 1999 BY WEEKS

WORKED IN 1999 FOR THE POPULATION

16 YEARS AND OVER [49]—Con.

Total—Con.

Female—Con.

Usually worked 1 to 14 hours per week: PCT082042 13 9

50 to 52 weeks PCT082043 13 9

48 and 49 weeks PCT082044 13 9

40 to 47 weeks PCT082045 13 9

27 to 39 weeks PCT082046 13 9

14 to 26 weeks PCT082047 13 9

1 to 13 weeks PCT082048 13 9

Did not work in 1999 PCT082049 13 9

PCT83. FAMILY TYPE BY EMPLOYMENT STATUS [29]

Universe: Families

Total: PCT083001 13 9

Married-couple family: PCT083002 13 9

Husband in labor force: PCT083003 13 9

Employed or in Armed Forces: PCT083004 13 9

Wife in labor force: PCT083005 13 9

Employed or in Armed Forces PCT083006 13 9

Unemployed PCT083007 13 9

Wife not in labor force PCT083008 13 9

Unemployed: PCT083009 13 9

Wife in labor force: PCT083010 13 9

Employed or in Armed Forces PCT083011 13 9

Unemployed PCT083012 13 9

Wife not in labor force PCT083013 13 9

Husband not in labor force: PCT083014 13 9

Wife in labor force: PCT083015 13 9

Employed or in Armed Forces PCT083016 13 9

Unemployed PCT083017 13 9

Wife not in labor force PCT083018 13 9

Other family: PCT083019 13 9

Male householder, no wife present: PCT083020 13 9

In labor force: PCT083021 13 9

Employed or in Armed Forces PCT083022 13 9

Unemployed PCT083023 13 9

Not in labor force PCT083024 13 9

Female householder, no husband present: PCT083025 13 9

In labor force: PCT083026 13 9

Employed or in Armed Forces PCT083027 13 9

Unemployed PCT083028 13 9

Not in labor force PCT083029 13 9

7–100 Data Dictionary

U.S. Census Bureau, Census 2000
Table

number Table contents

Data

dictionary

reference

name

SegmentMax

size

PCT84. FAMILY TYPE BY NUMBER OF WORKERS IN

FAMILY IN 1999 [21]

Universe: Families

Total: PCT084001 13 9

Married-couple family: PCT084002 13 9

No workers PCT084003 13 9

1 worker PCT084004 13 9

2 workers: PCT084005 13 9

Husband and wife worked PCT084006 13 9

Other PCT084007 13 9

3 or more workers: PCT084008 13 9

Husband and wife worked PCT084009 13 9

Other PCT084010 13 9

Other family: PCT084011 13 9

Male householder, no wife present: PCT084012 13 9

No workers PCT084013 13 9

1 worker PCT084014 13 9

2 workers PCT084015 13 9

3 or more workers PCT084016 13 9

Female householder, no husband present: PCT084017 13 9

No workers PCT084018 13 9

1 worker PCT084019 13 9

2 workers PCT084020 13 9

3 or more workers PCT084021 13 9

File 14 File Linking Fields (comma delimited)

Field name

Data

dictionary

reference

name

Max

size

Data

type

File Identification FILEID 6 A/N

State/U.S.-Abbreviation (USPS) STUSAB 2 A

Characteristic Iteration CHARITER 3 A/N

Characteristic Iteration File Sequence Number CIFSN 2 A/N

Logical Record Number LOGRECNO 7 N

PCT85. SEX BY INDUSTRY FOR THE EMPLOYED CIVILIAN

POPULATION 16 YEARS AND OVER [207]

Universe: Employed civilian population 16 years and

over

Total: PCT085001 14 9

Male: PCT085002 14 9

Agriculture, forestry, fishing and hunting, and

mining: PCT085003 14 9

Agriculture, forestry, fishing and hunting PCT085004 14 9

Mining PCT085005 14 9

Construction PCT085006 14 9

Manufacturing PCT085007 14 9

Data Dictionary 7–101

U.S. Census Bureau, Census 2000
Table

number Table contents

Data

dictionary

reference

name

SegmentMax

size

PCT85. SEX BY INDUSTRY FOR THE EMPLOYED CIVILIAN

POPULATION 16 YEARS AND OVER [207]—Con.

Total—Con.

Male—Con.

Manufacturing—Con.

Food PCT085008 14 9

Beverage and tobacco products PCT085009 14 9

Textile mills and textile products PCT085010 14 9

Apparel PCT085011 14 9

Leather and allied products PCT085012 14 9

Wood products PCT085013 14 9

Paper PCT085014 14 9

Printing and related support activities PCT085015 14 9

Petroleum and coal products PCT085016 14 9

Chemical PCT085017 14 9

Plastics and rubber products PCT085018 14 9

Nonmetallic mineral products PCT085019 14 9

Metal PCT085020 14 9

Machinery PCT085021 14 9

Computer and electronic products PCT085022 14 9

Electrical equipment, appliances, and

components PCT085023 14 9

Transportation equipment PCT085024 14 9

Furniture and related products PCT085025 14 9

Miscellaneous manufacturing PCT085026 14 9

Wholesale trade: PCT085027 14 9

Motor vehicles, parts and supplies PCT085028 14 9

Furniture and home furnishings PCT085029 14 9

Lumber and construction materials PCT085030 14 9

Professional and commercial equipment and

supplies PCT085031 14 9

Metals and minerals, except petroleum PCT085032 14 9

Electrical goods PCT085033 14 9

Hardware, plumbing and heating equipment,

and supplies PCT085034 14 9

Machinery, equipment, and supplies PCT085035 14 9

Recyclable materials PCT085036 14 9

Miscellaneous durable goods PCT085037 14 9

Paper and paper products PCT085038 14 9

Drugs, druggist sundries, chemicals and

allied products PCT085039 14 9

Apparel, piece goods and notions PCT085040 14 9

Groceries and related products PCT085041 14 9

Farm product raw materials PCT085042 14 9

Petroleum and petroleum products PCT085043 14 9

Alcoholic beverages PCT085044 14 9

Farm supplies PCT085045 14 9

Miscellaneous nondurable goods PCT085046 14 9

7–102 Data Dictionary

U.S. Census Bureau, Census 2000
Table

number Table contents

Data

dictionary

reference

name

SegmentMax

size

PCT85. SEX BY INDUSTRY FOR THE EMPLOYED CIVILIAN

POPULATION 16 YEARS AND OVER [207]—Con.

Total—Con.

Male—Con.

Retail trade: PCT085047 14 9

Motor vehicle and parts dealers PCT085048 14 9

Furniture and home furnishings and household

appliances PCT085049 14 9

Radio, TV and computer stores PCT085050 14 9

Building materials, hardware, and lawn and

garden equipment stores PCT085051 14 9

Food and beverage stores PCT085052 14 9

Pharmacies and drug stores PCT085053 14 9

Other health and personal care stores PCT085054 14 9

Gasoline stations PCT085055 14 9

Clothing and apparel including shoes PCT085056 14 9

Jewelry, luggage and leather goods PCT085057 14 9

Sporting goods, cameras, and hobby and toy

stores PCT085058 14 9

Sewing, needlework, and piece goods PCT085059 14 9

Music stores PCT085060 14 9

Book stores and news dealers PCT085061 14 9

Department and other general stores PCT085062 14 9

Florists PCT085063 14 9

Office supplies and stationery PCT085064 14 9

Used merchandise, gift, novelty, souvenir, and

miscellaneous stores PCT085065 14 9

Electronic shopping and mail order houses PCT085066 14 9

Vending machine operators PCT085067 14 9

Fuel dealers PCT085068 14 9

Other direct selling establishments PCT085069 14 9

Transportation and warehousing, and utilities: PCT085070 14 9

Transportation and warehousing: PCT085071 14 9

Air transportation PCT085072 14 9

Rail transportation PCT085073 14 9

Water transportation PCT085074 14 9

Truck transportation PCT085075 14 9

U.S. Postal Service PCT085076 14 9

Other transportation PCT085077 14 9

Warehousing and storage PCT085078 14 9

Utilities PCT085079 14 9

Information: PCT085080 14 9

Publishing, and motion picture and sound

recording industries PCT085081 14 9

Broadcasting and telecommunications PCT085082 14 9

Information services and data processing

services PCT085083 14 9

Data Dictionary 7–103

U.S. Census Bureau, Census 2000
Table

number Table contents

Data

dictionary

reference

name

SegmentMax

size

PCT85. SEX BY INDUSTRY FOR THE EMPLOYED CIVILIAN

POPULATION 16 YEARS AND OVER [207]—Con.

Total—Con.

Male—Con.

Finance, insurance, real estate and rental and

leasing: PCT085084 14 9

Finance and insurance PCT085085 14 9

Real estate and rental and leasing PCT085086 14 9

Professional, scientific, management,

administrative, and waste management

services: PCT085087 14 9

Professional, scientific, and technical services PCT085088 14 9

Management of companies and enterprises PCT085089 14 9

Administrative and support and waste

management services PCT085090 14 9

Educational, health, and social services: PCT085091 14 9

Educational services PCT085092 14 9

Health care and social assistance: PCT085093 14 9

Health care PCT085094 14 9

Social assistance PCT085095 14 9

Arts, entertainment, recreation, accommodation

and food services: PCT085096 14 9

Arts, entertainment, and recreation PCT085097 14 9

Accommodation and food services PCT085098 14 9

Other services (except public administration): PCT085099 14 9

Repair and maintenance PCT085100 14 9

Personal and laundry services PCT085101 14 9

Religious, grantmaking, civic, professional,

and similar organizations PCT085102 14 9

Private households PCT085103 14 9

Public administration PCT085104 14 9

Female: PCT085105 14 9

Agriculture, forestry, fishing and hunting, and

mining: PCT085106 14 9

Agriculture, forestry, fishing and hunting PCT085107 14 9

Mining PCT085108 14 9

Construction PCT085109 14 9

Manufacturing: PCT085110 14 9

Food PCT085111 14 9

Beverage and tobacco products PCT085112 14 9

Textile mills and textile products PCT085113 14 9

Apparel PCT085114 14 9

Leather and allied products PCT085115 14 9

Wood products PCT085116 14 9

Paper PCT085117 14 9

Printing and related support activities PCT085118 14 9

Petroleum and coal products PCT085119 14 9

Chemical PCT085120 14 9

7–104 Data Dictionary

U.S. Census Bureau, Census 2000
Table

number Table contents

Data

dictionary

reference

name

SegmentMax

size

PCT85. SEX BY INDUSTRY FOR THE EMPLOYED CIVILIAN

POPULATION 16 YEARS AND OVER [207]—Con.

Total—Con.

Female—Con.

Manufacturing—Con.

Plastics and rubber products PCT085121 14 9

Nonmetallic mineral products PCT085122 14 9

Metal PCT085123 14 9

Machinery PCT085124 14 9

Computer and electronic products PCT085125 14 9

Electrical equipment, appliances, and

components PCT085126 14 9

Transportation equipment PCT085127 14 9

Furniture and related products PCT085128 14 9

Miscellaneous manufacturing PCT085129 14 9

Wholesale trade: PCT085130 14 9

Motor vehicles, parts and supplies PCT085131 14 9

Furniture and home furnishings PCT085132 14 9

Lumber and construction materials PCT085133 14 9

Professional and commercial equipment and

supplies PCT085134 14 9

Metals and minerals, except petroleum PCT085135 14 9

Electrical goods PCT085136 14 9

Hardware, plumbing and heating equipment,

and supplies PCT085137 14 9

Machinery, equipment, and supplies PCT085138 14 9

Recyclable materials PCT085139 14 9

Miscellaneous durable goods PCT085140 14 9

Paper and paper products PCT085141 14 9

Drugs, druggist sundries, chemicals and allied

products PCT085142 14 9

Apparel, piece goods and notions PCT085143 14 9

Groceries and related products PCT085144 14 9

Farm product raw materials PCT085145 14 9

Petroleum and petroleum products PCT085146 14 9

Alcoholic beverages PCT085147 14 9

Farm supplies PCT085148 14 9

Miscellaneous nondurable goods PCT085149 14 9

Retail trade: PCT085150 14 9

Motor vehicle and parts dealers PCT085151 14 9

Furniture and home furnishings and household

appliances PCT085152 14 9

Radio, TV and computer stores PCT085153 14 9

Building materials, hardware, and lawn and

garden equipment stores PCT085154 14 9

Food and beverage stores PCT085155 14 9

Pharmacies and drug stores PCT085156 14 9

Other health and personal care stores PCT085157 14 9

Data Dictionary 7–105

U.S. Census Bureau, Census 2000
Table

number Table contents

Data

dictionary

reference

name

SegmentMax

size

PCT85. SEX BY INDUSTRY FOR THE EMPLOYED CIVILIAN

POPULATION 16 YEARS AND OVER [207]—Con.

Total—Con.

Female—Con.

Retail Trade—Con.

Gasoline stations PCT085158 14 9

Clothing and apparel including shoes PCT085159 14 9

Jewelry, luggage and leather goods PCT085160 14 9

Sporting goods, cameras, and hobby and toy

stores PCT085161 14 9

Sewing, needlework, and piece goods PCT085162 14 9

Music stores PCT085163 14 9

Book stores and news dealers PCT085164 14 9

Department and other general stores PCT085165 14 9

Florists PCT085166 14 9

Office supplies and stationery PCT085167 14 9

Used merchandise, gift, novelty, souvenir, and

miscellaneous stores PCT085168 14 9

Electronic shopping and mail order houses PCT085169 14 9

Vending machine operators PCT085170 14 9

Fuel dealers PCT085171 14 9

Other direct selling establishments PCT085172 14 9

Transportation and warehousing, and utilities: PCT085173 14 9

Transportation and warehousing: PCT085174 14 9

Air transportation PCT085175 14 9

Rail transportation PCT085176 14 9

Water transportation PCT085177 14 9

Truck transportation PCT085178 14 9

U.S. Postal Service PCT085179 14 9

Other transportation PCT085180 14 9

Warehousing and storage PCT085181 14 9

Utilities PCT085182 14 9

Information: PCT085183 14 9

Publishing, and motion picture and sound

recording industries PCT085184 14 9

Broadcasting and telecommunications PCT085185 14 9

Information services and data processing

services PCT085186 14 9

Finance, insurance, real estate and rental and

leasing: PCT085187 14 9

Finance and insurance PCT085188 14 9

Real estate and rental and leasing PCT085189 14 9

Professional, scientific, management,

administrative, and waste management

services: PCT085190 14 9

Professional, scientific, and technical services PCT085191 14 9

Management of companies and enterprises PCT085192 14 9

Administrative and support and waste

management services PCT085193 14 9

7–106 Data Dictionary

U.S. Census Bureau, Census 2000
Table

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Data

dictionary

reference

name

SegmentMax

size

PCT85. SEX BY INDUSTRY FOR THE EMPLOYED CIVILIAN

POPULATION 16 YEARS AND OVER [207]—Con.

Total—Con.

Female—Con.

Educational, health, and social services: PCT085194 14 9

Educational services PCT085195 14 9

Health care and social assistance: PCT085196 14 9

Health care PCT085197 14 9

Social assistance PCT085198 14 9

Arts, entertainment, recreation, accommodation

and food services: PCT085199 14 9

Arts, entertainment, and recreation PCT085200 14 9

Accommodation and food services PCT085201 14 9

Other services (except public administration): PCT085202 14 9

Repair and maintenance PCT085203 14 9

Personal and laundry services PCT085204 14 9

Religious, grantmaking, civic, professional,

and similar organizations PCT085205 14 9

Private households PCT085206 14 9

Public administration PCT085207 14 9

PCT86. SEX BY OCCUPATION FOR THE EMPLOYED

CIVILIAN POPULATION 16 YEARS AND OVER

[253]

Universe: Employed civilian population 16 years and

over

Total: PCT086001 14 9

Male: PCT086002 14 9

Management, professional, and related

occupations: PCT086003 14 9

Management, business, and financial

operations occupations: PCT086004 14 9

Management occupations: PCT086005 14 9

Top executives PCT086006 14 9

Advertising, marketing, promotions, public

relations, and sales managers PCT086007 14 9

Financial managers PCT086008 14 9

Operations specialties managers, except

financial managers PCT086009 14 9

Farmers and farm managers PCT086010 14 9

Other management occupations, except

farmers and farm managers PCT086011 14 9

Business and financial operations

occupations: PCT086012 14 9

Business operations specialists PCT086013 14 9

Financial specialists: PCT086014 14 9

Accountants and auditors PCT086015 14 9

Other financial specialists PCT086016 14 9

Data Dictionary 7–107

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Table

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Data

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name

SegmentMax

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File 15 File Linking Fields (comma delimited)

Field name

Data

dictionary

reference nameMax

size

Data

type

File Identification FILEID 6 A/N

State/U.S.-Abbreviation (USPS) STUSAB 2 A

Characteristic Iteration CHARITER 3 A/N

Characteristic Iteration File Sequence Number CIFSN 2 A/N

Logical Record Number LOGRECNO 7 N

PCT86. SEX BY OCCUPATION FOR THE EMPLOYED

CIVILIAN POPULATION 16 YEARS AND OVER

[253]—Con.

Total—Con.

Male—Con.

Management, professional, and related

occupations—Con.

Professional and related occupations: PCT086017 15 9

Computer and mathematical occupations: PCT086018 15 9

Computer specialists PCT086019 15 9

Mathematical science occupations PCT086020 15 9

Architecture and engineering occupations: PCT086021 15 9

Architects, surveyors, and cartographers PCT086022 15 9

Engineers PCT086023 15 9

Drafters, engineering, and mapping

technicians PCT086024 15 9

Life, physical, and social science

occupations: PCT086025 15 9

Life and physical scientists PCT086026 15 9

Social scientists and related workers PCT086027 15 9

Life, physical, and social science

technicians PCT086028 15 9

Community and social services occupations: PCT086029 15 9

Counselors, social workers, and other

community and social service specialists PCT086030 15 9

Religious workers PCT086031 15 9

Legal occupations: PCT086032 15 9

Lawyers PCT086033 15 9

Judges, magistrates, and other judicial

workers PCT086034 15 9

Legal support workers PCT086035 15 9

Education, training, and library occupations: PCT086036 15 9

Postsecondary teachers PCT086037 15 9

Teachers, primary, secondary, and special

education: PCT086038 15 9

Teachers, preschool, kindergarten,

elementary, and middle school PCT086039 15 9

Teachers, secondary school PCT086040 15 9

Teachers, special education PCT086041 15 9

7–108 Data Dictionary

U.S. Census Bureau, Census 2000
Table

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Data

dictionary

reference

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SegmentMax

size

PCT86. SEX BY OCCUPATION FOR THE EMPLOYED

CIVILIAN POPULATION 16 YEARS AND OVER

[253]—Con.

Total—Con.

Male—Con.

Management, professional, and related

occupations—Con.

Professional and related occupations—Con.

Education, training, and library

occupations—Con.

Librarians, curators, and archivists PCT086042 15 9

Other teachers, instructors, education,

training, and library occupations PCT086043 15 9

Arts, design, entertainment, sports, and

media occupations: PCT086044 15 9

Art and design workers PCT086045 15 9

Entertainers and performers, sports, and

related workers PCT086046 15 9

Media and communications workers PCT086047 15 9

Healthcare practitioners and technical

occupations: PCT086048 15 9

Health diagnosing and treating

practitioners and technical occupations: PCT086049 15 9

Physicians and surgeons PCT086050 15 9

Registered nurses PCT086051 15 9

Therapists PCT086052 15 9

Other health diagnosing and treating

practitioners and technical occupations PCT086053 15 9

Health technologists and technicians PCT086054 15 9

Service occupations: PCT086055 15 9

Healthcare support occupations: PCT086056 15 9

Nursing, psychiatric, and home health aides PCT086057 15 9

Occupational and physical therapist

assistants and aides PCT086058 15 9

Other healthcare support occupations PCT086059 15 9

Protective service occupations: PCT086060 15 9

Fire fighting and prevention workers,

including supervisors PCT086061 15 9

Law enforcement workers, including

supervisors PCT086062 15 9

Other protective service workers, including

supervisors PCT086063 15 9

Food preparation and serving related

occupations: PCT086064 15 9

Cooks and food preparation workers PCT086065 15 9

Waiters and waitresses PCT086066 15 9

Data Dictionary 7–109

U.S. Census Bureau, Census 2000
Table

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Data

dictionary

reference

name

SegmentMax

size

PCT86. SEX BY OCCUPATION FOR THE EMPLOYED

CIVILIAN POPULATION 16 YEARS AND OVER

[253]—Con.

Total—Con.

Male—Con.

Service occupations—Con.

Food preparation and serving related

occupations—Con.

Food and beverage serving workers, except

waiters and waitresses PCT086067 15 9

Other food preparation and serving workers,

including supervisors PCT086068 15 9

Building and grounds cleaning and

maintenance occupations PCT086069 15 9

Personal care and service occupations: PCT086070 15 9

Personal appearance workers PCT086071 15 9

Transportation, tourism, and lodging

attendants PCT086072 15 9

Child care workers PCT086073 15 9

Supervisors and other personal care and

service workers, except child care workers PCT086074 15 9

Sales and office occupations: PCT086075 15 9

Sales and related occupations: PCT086076 15 9

Cashiers PCT086077 15 9

Retail sales workers, except cashiers PCT086078 15 9

Sales representatives, services, wholesale

and manufacturing PCT086079 15 9

Other sales and related occupations,

including supervisors PCT086080 15 9

Office and administrative support occupations: PCT086081 15 9

Communications equipment operators PCT086082 15 9

Financial clerks, except bookkeeping,

accounting and auditing clerks PCT086083 15 9

Bookkeeping, accounting, and auditing

clerks PCT086084 15 9

Information and record clerks, except

customer service representatives PCT086085 15 9

Customer service representatives PCT086086 15 9

Material recording, scheduling, dispatching,

and distributing workers PCT086087 15 9

Secretaries and administrative

assistants PCT086088 15 9

Other office and administrative support

workers, including supervisors PCT086089 15 9

Farming, fishing, and forestry occupations: PCT086090 15 9

Agricultural workers, including supervisors PCT086091 15 9

Fishing, hunting, and forestry occupations PCT086092 15 9

7–110 Data Dictionary

U.S. Census Bureau, Census 2000
Table

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Data

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reference

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SegmentMax

size

PCT86. SEX BY OCCUPATION FOR THE EMPLOYED

CIVILIAN POPULATION 16 YEARS AND OVER

[253]—Con.

Total—Con.

Male—Con.

Construction, extraction, and maintenance

occupations: PCT086093 15 9

Construction and extraction occupations: PCT086094 15 9

Supervisors, construction and extraction

workers PCT086095 15 9

Carpenters PCT086096 15 9

Construction laborers PCT086097 15 9

Electricians PCT086098 15 9

Painters and paperhangers PCT086099 15 9

Pipelayers, plumbers, pipefitters, and

steamfitters PCT086100 15 9

Construction trades workers except

carpenters, electricians, painters, plumbers,

and construction laborers PCT086101 15 9

Other construction workers and helpers PCT086102 15 9

Extraction workers PCT086103 15 9

Installation, maintenance, and repair

occupations: PCT086104 15 9

Vehicle and mobile equipment mechanics,

installers, and repairers PCT086105 15 9

Electrical equipment mechanics and other

installation, maintenance, and repair

workers, including supervisors PCT086106 15 9

Production, transportation, and material moving

occupations: PCT086107 15 9

Production occupations: PCT086108 15 9

Assemblers and fabricators PCT086109 15 9

Food processing workers PCT086110 15 9

Metal workers and plastic workers PCT086111 15 9

Printing workers PCT086112 15 9

Textile, apparel, and furnishings workers PCT086113 15 9

Woodworkers PCT086114 15 9

Plant and system operators PCT086115 15 9

Other production occupations, including

supervisors PCT086116 15 9

Data Dictionary 7–111

U.S. Census Bureau, Census 2000
Table

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Data

dictionary

reference

name

SegmentMax

size

PCT86. SEX BY OCCUPATION FOR THE EMPLOYED

CIVILIAN POPULATION 16 YEARS AND OVER

[253]—Con.

Total—Con.

Male—Con.

Production, transportation, and material moving

occupations—Con.

Transportation and material moving

occupations: PCT086117 15 9

Supervisors, transportation, and material

moving workers PCT086118 15 9

Aircraft and traffic control occupations PCT086119 15 9

Rail and water transportation workers PCT086120 15 9

Bus drivers PCT086121 15 9

Driver/sales workers and truck drivers PCT086122 15 9

Motor vehicle operators, except bus and

truck drivers PCT086123 15 9

Other transportation occupations PCT086124 15 9

Material moving workers: PCT086125 15 9

Laborers and material movers, hand PCT086126 15 9

Other material moving workers, except

laborers PCT086127 15 9

Female: PCT086128 15 9

Management, professional, and related

occupations: PCT086129 15 9

Management, business, and financial

operations occupations: PCT086130 15 9

Management occupations: PCT086131 15 9

Top executives PCT086132 15 9

Advertising, marketing, promotions, public

relations, and sales managers PCT086133 15 9

Financial managers PCT086134 15 9

Operations specialties managers, except

financial managers PCT086135 15 9

Farmers and farm managers PCT086136 15 9

Other management occupations, except

farmers and farm managers PCT086137 15 9

Business and financial operations

occupations: PCT086138 15 9

Business operations specialists PCT086139 15 9

Financial specialists: PCT086140 15 9

Accountants and auditors PCT086141 15 9

Other financial specialists PCT086142 15 9

7–112 Data Dictionary

U.S. Census Bureau, Census 2000
Table

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Data

dictionary

reference

name

SegmentMax

size

PCT86. SEX BY OCCUPATION FOR THE EMPLOYED

CIVILIAN POPULATION 16 YEARS AND OVER

[253]—Con.

Total—Con.

Female—Con.

Management, professional, and related

occupations—Con.

Professional and related occupations: PCT086143 15 9

Computer and mathematical occupations: PCT086144 15 9

Computer specialists PCT086145 15 9

Mathematical science occupations PCT086146 15 9

Architecture and engineering occupations: PCT086147 15 9

Architects, surveyors, and cartographers PCT086148 15 9

Engineers PCT086149 15 9

Drafters, engineering, and mapping

technicians PCT086150 15 9

Life, physical, and social science

occupations: PCT086151 15 9

Life and physical scientists PCT086152 15 9

Social scientists and related workers PCT086153 15 9

Life, physical, and social science

technicians PCT086154 15 9

Community and social services occupations: PCT086155 15 9

Counselors, social workers, and other

community and social service specialists PCT086156 15 9

Religious workers PCT086157 15 9

Legal occupations: PCT086158 15 9

Lawyers PCT086159 15 9

Judges, magistrates, and other judicial

workers PCT086160 15 9

Legal support workers PCT086161 15 9

Education, training, and library occupations: PCT086162 15 9

Postsecondary teachers PCT086163 15 9

Teachers, primary, secondary, and special

education: PCT086164 15 9

Teachers, preschool, kindergarten,

elementary, and middle school PCT086165 15 9

Teachers, secondary school PCT086166 15 9

Teachers, special education PCT086167 15 9

Librarians, curators, and archivists PCT086168 15 9

Other teachers, instructors, education,

training, and library occupations PCT086169 15 9

Arts, design, entertainment, sports, and

media occupations: PCT086170 15 9

Art and design workers PCT086171 15 9

Entertainers and performers, sports, and

related workers PCT086172 15 9

Media and communications workers PCT086173 15 9

Data Dictionary 7–113

U.S. Census Bureau, Census 2000
Table

number Table contents

Data

dictionary

reference

name

SegmentMax

size

PCT86. SEX BY OCCUPATION FOR THE EMPLOYED

CIVILIAN POPULATION 16 YEARS AND OVER

[253]—Con.

Total—Con.

Female—Con.

Management, professional, and related

occupations—Con.

Healthcare practitioners and technical

occupations: PCT086174 15 9

Health diagnosing and treating practitioners

and technical occupations: PCT086175 15 9

Physicians and surgeons PCT086176 15 9

Registered nurses PCT086177 15 9

Therapists PCT086178 15 9

Other health diagnosing and treating

practitioners and technical occupations PCT086179 15 9

Health technologists and technicians PCT086180 15 9

Service occupations: PCT086181 15 9

Healthcare support occupations: PCT086182 15 9

Nursing, psychiatric, and home health aides PCT086183 15 9

Occupational and physical therapist

assistants and aides PCT086184 15 9

Other healthcare support occupations PCT086185 15 9

Protective service occupations: PCT086186 15 9

Fire fighting and prevention workers,

including supervisors PCT086187 15 9

Law enforcement workers, including

supervisors PCT086188 15 9

Other protective service workers, including

supervisors PCT086189 15 9

Food preparation and serving related

occupations: PCT086190 15 9

Cooks and food preparation workers PCT086191 15 9

Waiters and waitresses PCT086192 15 9

Food and beverage serving workers, except

waiters and waitresses PCT086193 15 9

Other food preparation and serving workers,

including supervisors PCT086194 15 9

Building and grounds cleaning and

maintenance occupations PCT086195 15 9

Personal care and service occupations: PCT086196 15 9

Personal appearance workers PCT086197 15 9

Transportation, tourism, and lodging

attendants PCT086198 15 9

Child care workers PCT086199 15 9

Supervisors and other personal care and

service workers, except child care workers PCT086200 15 9

7–114 Data Dictionary

U.S. Census Bureau, Census 2000
Table

number Table contents

Data

dictionary

reference

name

SegmentMax

size

PCT86. SEX BY OCCUPATION FOR THE EMPLOYED

CIVILIAN POPULATION 16 YEARS AND OVER

[253]—Con.

Total—Con.

Female—Con.

Sales and office occupations: PCT086201 15 9

Sales and related occupations: PCT086202 15 9

Cashiers PCT086203 15 9

Retail sales workers, except cashiers PCT086204 15 9

Sales representatives, services, wholesale

and manufacturing PCT086205 15 9

Other sales and related occupations,

including supervisors PCT086206 15 9

Office and administrative support occupations: PCT086207 15 9

Communications equipment operators PCT086208 15 9

Financial clerks, except bookkeeping,

accounting and auditing clerks PCT086209 15 9

Bookkeeping, accounting, and auditing

clerks PCT086210 15 9

Information and record clerks, except

customer service representatives PCT086211 15 9

Customer service representatives PCT086212 15 9

Material recording, scheduling, dispatching,

and distributing workers PCT086213 15 9

Secretaries and administrative assistants PCT086214 15 9

Other office and administrative support

workers, including supervisors PCT086215 15 9

Farming, fishing, and forestry occupations: PCT086216 15 9

Agricultural workers, including supervisors PCT086217 15 9

Fishing, hunting, and forestry occupations PCT086218 15 9

Construction, extraction, and maintenance

occupations: PCT086219 15 9

Construction and extraction occupations: PCT086220 15 9

Supervisors, construction and extraction

workers PCT086221 15 9

Carpenters PCT086222 15 9

Construction laborers PCT086223 15 9

Electricians PCT086224 15 9

Painters and paperhangers PCT086225 15 9

Pipelayers, plumbers, pipefitters, and

steamfitters PCT086226 15 9

Construction traders workers except

carpenters, electricians, painters, plumbers,

and construction laborers PCT086227 15 9

Other construction workers and helpers PCT086228 15 9

Extraction workers PCT086229 15 9

Data Dictionary 7–115

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Table

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Data

dictionary

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name

SegmentMax

size

PCT86. SEX BY OCCUPATION FOR THE EMPLOYED

CIVILIAN POPULATION 16 YEARS AND OVER

[253]—Con.

Total—Con.

Female—Con.

Construction, extraction, and maintenance

occupations—Con.

Installation, maintenance, and repair

occupations: PCT086230 15 9

Vehicle and mobile equipment mechanics,

installers, and repairers PCT086231 15 9

Electrical equipment mechanics and other

installation, maintenance, and repair

workers, including supervisors PCT086232 15 9

Production, transportation, and material moving

occupations: PCT086233 15 9

Production occupations: PCT086234 15 9

Assemblers and fabricators PCT086235 15 9

Food processing workers PCT086236 15 9

Metal workers and plastic workers PCT086237 15 9

Printing workers PCT086238 15 9

Textile, apparel, and furnishings workers PCT086239 15 9

Woodworkers PCT086240 15 9

Plant and system operators PCT086241 15 9

Other production occupations, including

supervisors PCT086242 15 9

Transportation and material moving

occupations: PCT086243 15 9

Supervisors, transportation, and material

moving workers PCT086244 15 9

Aircraft and traffic control occupations PCT086245 15 9

Rail and water transportation workers PCT086246 15 9

Bus drivers PCT086247 15 9

Driver/sales workers and truck drivers PCT086248 15 9

Motor vehicle operators, except bus and

truck drivers PCT086249 15 9

Other transportation occupations PCT086250 15 9

Material moving workers: PCT086251 15 9

Laborers and material movers, hand PCT086252 15 9

Other material moving workers, except

laborers PCT086253 15 9

7–116 Data Dictionary

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Table

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Data

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reference

name

SegmentMax

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File 16 File Linking Fields (comma delimited)

Field name

Data

dictionary

reference nameMax

size

Data

type

File Identification FILEID 6 A/N

State/U.S.-Abbreviation (USPS) STUSAB 2 A

Characteristic Iteration CHARITER 3 A/N

Characteristic Iteration File Sequence Number CIFSN 2 A/N

Logical Record Number LOGRECNO 7 N

PCT87. SEX BY INDUSTRY BY CLASS OF WORKER FOR

THE EMPLOYED CIVILIAN POPULATION

16 YEARS AND OVER [65]

Universe: Employed civilian population 16 years and

over

Total: PCT087001 16 9

Male: PCT087002 16 9

All industries except agriculture, forestry, fishing

and hunting, and mining: PCT087003 16 9

Private for-profit wage and salary

workers: PCT087004 16 9

Employee of private company PCT087005 16 9

Self-employed in own incorporated business PCT087006 16 9

Private not-for-profit wage and salary workers PCT087007 16 9

Local government workers PCT087008 16 9

State government workers PCT087009 16 9

Federal government workers PCT087010 16 9

Self-employed workers in own not

incorporated business PCT087011 16 9

Unpaid family workers PCT087012 16 9

Agriculture, forestry, fishing and hunting, and

mining: PCT087013 16 9

Agriculture, forestry, fishing and

hunting: PCT087014 16 9

Private for-profit wage and salary workers: PCT087015 16 9

Employee of private company PCT087016 16 9

Self-employed in own incorporated

business PCT087017 16 9

Private not-for-profit wage and salary

workers PCT087018 16 9

Local government workers PCT087019 16 9

State government workers PCT087020 16 9

Federal government workers PCT087021 16 9

Self-employed workers in own not

incorporated business PCT087022 16 9

Unpaid family workers PCT087023 16 9

Data Dictionary 7–117

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Table

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Data

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size

PCT87. SEX BY INDUSTRY BY CLASS OF WORKER FOR

THE EMPLOYED CIVILIAN POPULATION

16 YEARS AND OVER [65]—Con.

Total—Con.

Male—Con.

Agriculture, forestry, fishing and hunting, and

mining—Con.

Mining: PCT087024 16 9

Private for-profit wage and salary workers: PCT087025 16 9

Employee of private company PCT087026 16 9

Self-employed in own incorporated

business PCT087027 16 9

Private not-for-profit wage and salary

workers PCT087028 16 9

Local government workers PCT087029 16 9

State government workers PCT087030 16 9

Federal government workers PCT087031 16 9

Self-employed workers in own not

incorporated business PCT087032 16 9

Unpaid family workers PCT087033 16 9

Female: PCT087034 16 9

All industries except agriculture, forestry, fishing

and hunting, and mining: PCT087035 16 9

Private for-profit wage and salary workers: PCT087036 16 9

Employee of private company PCT087037 16 9

Self-employed in own incorporated business PCT087038 16 9

Private not-for-profit wage and salary workers PCT087039 16 9

Local government workers PCT087040 16 9

State government workers PCT087041 16 9

Federal government workers PCT087042 16 9

Self-employed workers in own not

incorporated business PCT087043 16 9

Unpaid family workers PCT087044 16 9

Agriculture, forestry, fishing and hunting, and

mining: PCT087045 16 9

Agriculture, forestry, fishing and hunting: PCT087046 16 9

Private for-profit wage and salary workers: PCT087047 16 9

Employee of private company PCT087048 16 9

Self-employed in own incorporated

business PCT087049 16 9

Private not-for-profit wage and salary

workers PCT087050 16 9

Local government workers PCT087051 16 9

State government workers PCT087052 16 9

Federal government workers PCT087053 16 9

Self-employed workers in own not

incorporated business PCT087054 16 9

Unpaid family workers PCT087055 16 9

7–118 Data Dictionary

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Table

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Data

dictionary

reference

name

SegmentMax

size

PCT87. SEX BY INDUSTRY BY CLASS OF WORKER FOR

THE EMPLOYED CIVILIAN POPULATION

16 YEARS AND OVER [65]—Con.

Total—Con.

Male—Con.

Agriculture, forestry, fishing and hunting, and

mining—Con.

Mining: PCT087056 16 9

Private for-profit wage and salary workers: PCT087057 16 9

Employee of private company PCT087058 16 9

Self-employed in own incorporated

business PCT087059 16 9

Private not-for-profit wage and salary

workers PCT087060 16 9

Local government workers PCT087061 16 9

State government workers PCT087062 16 9

Federal government workers PCT087063 16 9

Self-employed workers in own not

incorporated business PCT087064 16 9

Unpaid family workers PCT087065 16 9

PCT88. HOUSEHOLD INCOME IN 1999 [17]

Universe: Households

Total: PCT088001 16 9

Less than $10,000 PCT088002 16 9

$10,000 to $14,999 PCT088003 16 9

$15,000 to $19,999 PCT088004 16 9

$20,000 to $24,999 PCT088005 16 9

$25,000 to $29,999 PCT088006 16 9

$30,000 to $34,999 PCT088007 16 9

$35,000 to $39,999 PCT088008 16 9

$40,000 to $44,999 PCT088009 16 9

$45,000 to $49,999 PCT088010 16 9

$50,000 to $59,999 PCT088011 16 9

$60,000 to $74,999 PCT088012 16 9

$75,000 to $99,999 PCT088013 16 9

$100,000 to $124,999 PCT088014 16 9

$125,000 to $149,999 PCT088015 16 9

$150,000 to $199,999 PCT088016 16 9

$200,000 or more PCT088017 16 9

PCT89. MEDIAN HOUSEHOLD INCOME IN 1999

(DOLLARS) [1]

Universe: Households

Median household income in 1999 PCT089001 16 9

Data Dictionary 7–119

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Table

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PCT90. AGGREGATE HOUSEHOLD INCOME IN 1999

(DOLLARS) [3]

Universe: Households

Aggregate household income in 1999: PCT090001 16 15

Less than $200,000 PCT090002 16 15

$200,000 or more PCT090003 16 15

PCT91. AGE OF HOUSEHOLDER BY HOUSEHOLD

INCOME IN 1999 [120]

Universe: Households

Total: PCT091001 16 9

Householder under 25 years: PCT091002 16 9

Less than $10,000 PCT091003 16 9

$10,000 to $14,999 PCT091004 16 9

$15,000 to $19,999 PCT091005 16 9

$20,000 to $24,999 PCT091006 16 9

$25,000 to $29,999 PCT091007 16 9

$30,000 to $34,999 PCT091008 16 9

$35,000 to $39,999 PCT091009 16 9

$40,000 to $44,999 PCT091010 16 9

$45,000 to $49,999 PCT091011 16 9

$50,000 to $59,999 PCT091012 16 9

$60,000 to $74,999 PCT091013 16 9

$75,000 to $99,999 PCT091014 16 9

$100,000 to $124,999 PCT091015 16 9

$125,000 to $149,999 PCT091016 16 9

$150,000 to $199,999 PCT091017 16 9

$200,000 or more PCT091018 16 9

Householder 25 to 34 years: PCT091019 16 9

Less than $10,000 PCT091020 16 9

$10,000 to $14,999 PCT091021 16 9

$15,000 to $19,999 PCT091022 16 9

$20,000 to $24,999 PCT091023 16 9

$25,000 to $29,999 PCT091024 16 9

$30,000 to $34,999 PCT091025 16 9

$35,000 to $39,999 PCT091026 16 9

$40,000 to $44,999 PCT091027 16 9

$45,000 to $49,999 PCT091028 16 9

$50,000 to $59,999 PCT091029 16 9

$60,000 to $74,999 PCT091030 16 9

$75,000 to $99,999 PCT091031 16 9

$100,000 to $124,999 PCT091032 16 9

$125,000 to $149,999 PCT091033 16 9

$150,000 to $199,999 PCT091034 16 9

$200,000 or more PCT091035 16 9

7–120 Data Dictionary

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PCT91. AGE OF HOUSEHOLDER BY HOUSEHOLD

INCOME IN 1999 [120]—Con.

Total—Con.

Householder 35 to 44 years: PCT091036 16 9

Less than $10,000 PCT091037 16 9

$10,000 to $14,999 PCT091038 16 9

$15,000 to $19,999 PCT091039 16 9

$20,000 to $24,999 PCT091040 16 9

$25,000 to $29,999 PCT091041 16 9

$30,000 to $34,999 PCT091042 16 9

$35,000 to $39,999 PCT091043 16 9

$40,000 to $44,999 PCT091044 16 9

$45,000 to $49,999 PCT091045 16 9

$50,000 to $59,999 PCT091046 16 9

$60,000 to $74,999 PCT091047 16 9

$75,000 to $99,999 PCT091048 16 9

$100,000 to $124,999 PCT091049 16 9

$125,000 to $149,999 PCT091050 16 9

$150,000 to $199,999 PCT091051 16 9

$200,000 or more PCT091052 16 9

Householder 45 to 54 years: PCT091053 16 9

Less than $10,000 PCT091054 16 9

$10,000 to $14,999 PCT091055 16 9

$15,000 to $19,999 PCT091056 16 9

$20,000 to $24,999 PCT091057 16 9

$25,000 to $29,999 PCT091058 16 9

$30,000 to $34,999 PCT091059 16 9

$35,000 to $39,999 CT091060 16 9

$40,000 to $44,999 PCT091061 16 9

$45,000 to $49,999 PCT091062 16 9

$50,000 to $59,999 PCT091063 16 9

$60,000 to $74,999 PCT091064 16 9

$75,000 to $99,999 PCT091065 16 9

$100,000 to $124,999 PCT091066 16 9

$125,000 to $149,999 PCT091067 16 9

$150,000 to $199,999 PCT091068 16 9

$200,000 or more PCT091069 16 9

Householder 55 to 64 years: PCT091070 16 9

Less than $10,000 PCT091071 16 9

$10,000 to $14,999 PCT091072 16 9

$15,000 to $19,999 PCT091073 16 9

$20,000 to $24,999 PCT091074 16 9

$25,000 to $29,999 PCT091075 16 9

$30,000 to $34,999 PCT091076 16 9

$35,000 to $39,999 PCT091077 16 9

$40,000 to $44,999 PCT091078 16 9

$45,000 to $49,999 PCT091079 16 9

Data Dictionary 7–121

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PCT91. AGE OF HOUSEHOLDER BY HOUSEHOLD

INCOME IN 1999 [120]—Con.

Total—Con.

Householder 55 to 64 years—Con.

$50,000 to $59,999 PCT091080 16 9

$60,000 to $74,999 PCT091081 16 9

$75,000 to $99,999 PCT091082 16 9

$100,000 to $124,999 PCT091083 16 9

$125,000 to $149,999 PCT091084 16 9

$150,000 to $199,999 PCT091085 16 9

$200,000 or more PCT091086 16 9

Householder 65 to 74 years: PCT091087 16 9

Less than $10,000 PCT091088 16 9

$10,000 to $14,999 PCT091089 16 9

$15,000 to $19,999 PCT091090 16 9

$20,000 to $24,999 PCT091091 16 9

$25,000 to $29,999 PCT091092 16 9

$30,000 to $34,999 PCT091093 16 9

$35,000 to $39,999 PCT091094 16 9

$40,000 to $44,999 PCT091095 16 9

$45,000 to $49,999 PCT091096 16 9

$50,000 to $59,999 PCT091097 16 9

$60,000 to $74,999 PCT091098 16 9

$75,000 to $99,999 PCT091099 16 9

$100,000 to $124,999 PCT091100 16 9

$125,000 to $149,999 PCT091101 16 9

$150,000 to $199,999 PCT091102 16 9

$200,000 or more PCT091103 16 9

Householder 75 years and over: PCT091104 16 9

Less than $10,000 PCT091105 16 9

$10,000 to $14,999 PCT091106 16 9

$15,000 to $19,999 PCT091107 16 9

$20,000 to $24,999 PCT091108 16 9

$25,000 to $29,999 PCT091109 16 9

$30,000 to $34,999 PCT091110 16 9

$35,000 to $39,999 PCT091111 16 9

$40,000 to $44,999 PCT091112 16 9

$45,000 to $49,999 PCT091113 16 9

$50,000 to $59,999 PCT091114 16 9

$60,000 to $74,999 PCT091115 16 9

$75,000 to $99,999 PCT091116 16 9

$100,000 to $124,999 PCT091117 16 9

$125,000 to $149,999 PCT091118 16 9

$150,000 to $199,999 PCT091119 16 9

$200,000 or more PCT091120 16 9

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PCT92. MEDIAN HOUSEHOLD INCOME IN 1999

(DOLLARS) BY AGE OF HOUSEHOLDER [8]

Universe: Households

Median household income in 1999 —

Total PCT092001 16 9

Householder under 25 years PCT092002 16 9

Householder 25 to 34 years PCT092003 16 9

Householder 35 to 44 years PCT092004 16 9

Householder 45 to 54 years PCT092005 16 9

Householder 55 to 64 years PCT092006 16 9

Householder 65 to 74 years PCT092007 16 9

Householder 75 years and over PCT092008 16 9

PCT93. AGGREGATE HOUSEHOLD INCOME IN 1999

(DOLLARS) BY AGE OF HOUSEHOLDER [8]

Universe: Households

Aggregate household income in 1999: PCT093001 16 15

Householder under 25 years PCT093002 16 15

Householder 25 to 34 years PCT093003 16 15

Householder 35 to 44 years PCT093004 16 15

Householder 45 to 54 years PCT093005 16 15

Householder 55 to 64 years PCT093006 16 15

Householder 65 to 74 years PCT093007 16 15

Householder 75 years and over PCT093008 16 15

PCT94. EARNINGS IN 1999 FOR HOUSEHOLDS [3]

Universe: Households

Total: PCT094001 16 9

With earnings PCT094002 16 9

No earnings PCT094003 16 9

PCT95. WAGE OR SALARY INCOME IN 1999 FOR

HOUSEHOLDS [3]

Universe: Households

Total: PCT095001 16 9

With wage or salary income PCT095002 16 9

No wage or salary income PCT095003 16 9

PCT96. SELF-EMPLOYMENT INCOME IN 1999 FOR

HOUSEHOLDS [3]

Universe: Households

Total: PCT096001 16 9

With self-employment income PCT096002 16 9

No self-employment income PCT096003 16 9

Data Dictionary 7–123

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PCT97. INTEREST, DIVIDENDS, OR NET RENTAL INCOME

IN 1999 FOR HOUSEHOLDS [3]

Universe: Households

Total: PCT097001 16 9

With interest, dividends, or net rental income PCT097002 16 9

No interest, dividends, or net rental income PCT097003 16 9

PCT98. SOCIAL SECURITY INCOME IN 1999 FOR

HOUSEHOLDS [3]

Universe: Households

Total: PCT098001 16 9

With Social Security income PCT098002 16 9

No Social Security income PCT098003 16 9

PCT99. SUPPLEMENTAL SECURITY INCOME (SSI) IN 1999

FOR HOUSEHOLDS [3]

Universe: Households

Total: PCT099001 16 9

With Supplemental Security Income (SSI) PCT099002 16 9

No Supplemental Security Income (SSI) PCT099003 16 9

PCT100. PUBLIC ASSISTANCE INCOME IN 1999 FOR

HOUSEHOLDS [3]

Universe: Households

Total: PCT100001 16 9

With public assistance income PCT100002 16 9

No public assistance income PCT100003 16 9

PCT101. RETIREMENT INCOME IN 1999 FOR

HOUSEHOLDS [3]

Universe: Households

Total: PCT101001 16 9

With retirement income PCT101002 16 9

No retirement income PCT101003 16 9

PCT102. OTHER TYPES OF INCOME IN 1999 FOR

HOUSEHOLDS [3]

Universe: Households

Total: PCT102001 16 9

With other types of income PCT102002 16 9

No other types of income PCT102003 16 9

PCT103. AGGREGATE EARNINGS IN 1999 (DOLLARS) FOR

HOUSEHOLDS [1]

Universe: Households

Aggregate earnings in 1999 PCT103001 16 15

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File 17 File Linking Fields (comma delimited)

Field name

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Data

type

File Identification FILEID 6 A/N

State/U.S.-Abbreviation (USPS) STUSAB 2 A

Characteristic Iteration CHARITER 3 A/N

Characteristic Iteration File Sequence Number CIFSN 2 A/N

Logical Record Number LOGRECNO 7 N

PCT104. AGGREGATE WAGE OR SALARY INCOME IN 1999

(DOLLARS) FOR HOUSEHOLDS [1]

Universe: Households

Aggregate wage or salary income in 1999 PCT104001 17 15

PCT105. AGGREGATE SELF-EMPLOYMENT INCOME IN

1999 (DOLLARS) FOR HOUSEHOLDS [1]

Universe: Households

Aggregate self-employment income in 1999 PCT105001 17 15

PCT106. AGGREGATE INTEREST, DIVIDENDS, OR NET

RENTAL INCOME IN 1999 (DOLLARS) FOR

HOUSEHOLDS [1]

Universe: Households

Aggregate interest, dividends, or net rental income

in 1999 PCT106001 17 15

PCT107. AGGREGATE SOCIAL SECURITY INCOME IN 1999

(DOLLARS) FOR HOUSEHOLDS [1]

Universe: Households

Aggregate Social Security income in 1999 PCT107001 17 15

PCT108. AGGREGATE SUPPLEMENTAL SECURITY INCOME

(SSI) IN 1999 (DOLLARS) FOR HOUSEHOLDS [1]

Universe: Households

Aggregate Supplemental Security Income (SSI) in

1999 PCT108001 17 15

PCT109. AGGREGATE PUBLIC ASSISTANCE INCOME IN

1999 (DOLLARS) FOR HOUSEHOLDS [1]

Universe: Households

Aggregate public assistance income in 1999 PCT109001 17 15

PCT110. AGGREGATE RETIREMENT INCOME IN 1999

(DOLLARS) FOR HOUSEHOLDS [1]

Universe: Households

Aggregate retirement income in 1999 PCT110001 17 15

Data Dictionary 7–125

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PCT111. AGGREGATE OTHER TYPES OF INCOME IN 1999

(DOLLARS) FOR HOUSEHOLDS [1]

Universe: Households

Aggregate other types of income in 1999 PCT111001 17 15

PCT112. FAMILY INCOME IN 1999 [17]

Universe: Families

Total: PCT112001 17 9

Less than $10,000 PCT112002 17 9

$10,000 to $14,999 PCT112003 17 9

$15,000 to $19,999 PCT112004 17 9

$20,000 to $24,999 PCT112005 17 9

$25,000 to $29,999 PCT112006 17 9

$30,000 to $34,999 PCT112007 17 9

$35,000 to $39,999 PCT112008 17 9

$40,000 to $44,999 PCT112009 17 9

$45,000 to $49,999 PCT112010 17 9

$50,000 to $59,999 PCT112011 17 9

$60,000 to $74,999 PCT112012 17 9

$75,000 to $99,999 PCT112013 17 9

$100,000 to $124,999 PCT112014 17 9

$125,000 to $149,999 PCT112015 17 9

$150,000 to $199,999 PCT112016 17 9

$200,000 or more PCT112017 17 9

PCT113. MEDIAN FAMILY INCOME IN 1999 (DOLLARS) [1]

Universe: Families

Median family income in 1999 PCT113001 17 9

PCT114. AGGREGATE FAMILY INCOME IN 1999

(DOLLARS) [3]

Universe: Families

Aggregate family income in 1999: PCT114001 17 15

Less than $200,000 PCT114002 17 15

$200,000 or more PCT114003 17 15

PCT115. MEDIAN FAMILY INCOME IN 1999 (DOLLARS) BY

NUMBER OF WORKERS IN FAMILY IN 1999 [5]

Universe: Families

Median family income in 1999 —

Total PCT115001 17 9

No workers PCT115002 17 9

1 worker PCT115003 17 9

2 or more workers, husband and wife worked PCT115004 17 9

2 or more workers, other PCT115005 17 9

7–126 Data Dictionary

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PCT116. AGGREGATE FAMILY INCOME IN 1999

(DOLLARS) BY NUMBER OF WORKERS IN FAMILY

IN 1999 [5]

Universe: Families

Aggregate family income in 1999: PCT116001 17 15

No workers PCT116002 17 15

1 worker PCT116003 17 15

2 or more workers, husband and wife worked PCT116004 17 15

2 or more workers, other PCT116005 17 15

PCT117. FAMILY SIZE BY FAMILY INCOME IN 1999 [103]

Universe: Families

Total: PCT117001 17 9

2-person families: PCT117002 17 9

Less than $10,000 PCT117003 17 9

$10,000 to $14,999 PCT117004 17 9

$15,000 to $19,999 PCT117005 17 9

$20,000 to $24,999 PCT117006 17 9

$25,000 to $29,999 PCT117007 17 9

$30,000 to $34,999 PCT117008 17 9

$35,000 to $39,999 PCT117009 17 9

$40,000 to $44,999 PCT117010 17 9

$45,000 to $49,999 PCT117011 17 9

$50,000 to $59,999 PCT117012 17 9

$60,000 to $74,999 PCT117013 17 9

$75,000 to $99,999 PCT117014 17 9

$100,000 to $124,999 PCT117015 17 9

$125,000 to $149,999 PCT117016 17 9

$150,000 to $199,999 PCT117017 17 9

$200,000 or more PCT117018 17 9

3-person families: PCT117019 17 9

Less than $10,000 PCT117020 17 9

$10,000 to $14,999 PCT117021 17 9

$15,000 to $19,999 PCT117022 17 9

$20,000 to $24,999 PCT117023 17 9

$25,000 to $29,999 PCT117024 17 9

$30,000 to $34,999 PCT117025 17 9

$35,000 to $39,999 PCT117026 17 9

$40,000 to $44,999 PCT117027 17 9

$45,000 to $49,999 PCT117028 17 9

$50,000 to $59,999 PCT117029 17 9

$60,000 to $74,999 PCT117030 17 9

$75,000 to $99,999 PCT117031 17 9

$100,000 to $124,999 PCT117032 17 9

$125,000 to $149,999 PCT117033 17 9

$150,000 to $199,999 PCT117034 17 9

$200,000 or more PCT117035 17 9

Data Dictionary 7–127

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PCT117. FAMILY SIZE BY FAMILY INCOME IN 1999

[103]—Con.

Total—Con.

4-person families: PCT117036 17 9

Less than $10,000 PCT117037 17 9

$10,000 to $14,999 PCT117038 17 9

$15,000 to $19,999 PCT117039 17 9

$20,000 to $24,999 PCT117040 17 9

$25,000 to $29,999 PCT117041 17 9

$30,000 to $34,999 PCT117042 17 9

$35,000 to $39,999 PCT117043 17 9

$40,000 to $44,999 PCT117044 17 9

$45,000 to $49,999 PCT117045 17 9

$50,000 to $59,999 PCT117046 17 9

$60,000 to $74,999 PCT117047 17 9

$75,000 to $99,999 PCT117048 17 9

$100,000 to $124,999 PCT117049 17 9

$125,000 to $149,999 PCT117050 17 9

$150,000 to $199,999 PCT117051 17 9

$200,000 or more PCT117052 17 9

5-person families: PCT117053 17 9

Less than $10,000 PCT117054 17 9

$10,000 to $14,999 PCT117055 17 9

$15,000 to $19,999 PCT117056 17 9

$20,000 to $24,999 PCT117057 17 9

$25,000 to $29,999 PCT117058 17 9

$30,000 to $34,999 PCT117059 17 9

$35,000 to $39,999 PCT117060 17 9

$40,000 to $44,999 PCT117061 17 9

$45,000 to $49,999 PCT117062 17 9

$50,000 to $59,999 PCT117063 17 9

$60,000 to $74,999 PCT117064 17 9

$75,000 to $99,999 PCT117065 17 9

$100,000 to $124,999 PCT117066 17 9

$125,000 to $149,999 PCT117067 17 9

$150,000 to $199,999 PCT117068 17 9

$200,000 or more PCT117069 17 9

6-person families: PCT117070 17 9

Less than $10,000 PCT117071 17 9

$10,000 to $14,999 PCT117072 17 9

$15,000 to $19,999 PCT117073 17 9

$20,000 to $24,999 PCT117074 17 9

$25,000 to $29,999 PCT117075 17 9

$30,000 to $34,999 PCT117076 17 9

$35,000 to $39,999 PCT117077 17 9

$40,000 to $44,999 PCT117078 17 9

$45,000 to $49,999 PCT117079 17 9

$50,000 to $59,999 PCT117080 17 9

$60,000 to $74,999 PCT117081 17 9

$75,000 to $99,999 PCT117082 17 9

7–128 Data Dictionary

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PCT117. FAMILY SIZE BY FAMILY INCOME IN 1999

[103]—Con.

Total—Con.

6-person families—Con.

$100,000 to $124,999 PCT117083 17 9

$125,000 to $149,999 PCT117084 17 9

$150,000 to $199,999 PCT117085 17 9

$200,000 or more PCT117086 17 9

7-or-more-person families: PCT117087 17 9

Less than $10,000 PCT117088 17 9

$10,000 to $14,999 PCT117089 17 9

$15,000 to $19,999 PCT117090 17 9

$20,000 to $24,999 PCT117091 17 9

$25,000 to $29,999 PCT117092 17 9

$30,000 to $34,999 PCT117093 17 9

$35,000 to $39,999 PCT117094 17 9

$40,000 to $44,999 PCT117095 17 9

$45,000 to $49,999 PCT117096 17 9

$50,000 to $59,999 PCT117097 17 9

$60,000 to $74,999 PCT117098 17 9

$75,000 to $99,999 PCT117099 17 9

$100,000 to $124,999 PCT117100 17 9

$125,000 to $149,999 PCT117101 17 9

$150,000 to $199,999 PCT117102 17 9

$200,000 or more PCT117103 17 9

PCT118. MEDIAN FAMILY INCOME IN 1999 (DOLLARS) BY

FAMILY SIZE [7]

Universe: Families

Median family income in 1999 —

Total PCT118001 17 9

2-person families PCT118002 17 9

3-person families PCT118003 17 9

4-person families PCT118004 17 9

5-person families PCT118005 17 9

6-person families PCT118006 17 9

7-or-more-person families PCT118007 17 9

PCT119. MEDIAN FAMILY INCOME IN 1999 (DOLLARS) BY

FAMILY TYPE BY AGE OF HOUSEHOLDER [29]

Universe: Families

Median family income in 1999 —

Total PCT119001 17 9

Married-couple family —

Total PCT119002 17 9

Householder 15 to 24 years PCT119003 17 9

Householder 25 to 34 years PCT119004 17 9

Householder 35 to 44 years PCT119005 17 9

Householder 45 to 54 years PCT119006 17 9

Data Dictionary 7–129

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PCT119. MEDIAN FAMILY INCOME IN 1999 (DOLLARS) BY

FAMILY TYPE BY AGE OF HOUSEHOLDER

[29]—Con.

Married-couple family—Con.

Householder 55 to 59 years PCT119007 17 9

Householder 60 to 64 years PCT119008 17 9

Householder 65 to 74 years PCT119009 17 9

Householder 75 years and over PCT119010 17 9

Other family —

Total PCT119011 17 9

Male householder, no wife present —

Total PCT119012 17 9

Householder 15 to 24 years PCT119013 17 9

Householder 25 to 34 years PCT119014 17 9

Householder 35 to 44 years PCT119015 17 9

Householder 45 to 54 years PCT119016 17 9

Householder 55 to 59 years PCT119017 17 9

Householder 60 to 64 years PCT119018 17 9

Householder 65 to 74 years PCT119019 17 9

Householder 75 years and over PCT119020 17 9

Female householder, no husband present —

Total PCT119021 17 9

Householder 15 to 24 years PCT119022 17 9

Householder 25 to 34 years PCT119023 17 9

Householder 35 to 44 years PCT119024 17 9

Householder 45 to 54 years PCT119025 17 9

Householder 55 to 59 years PCT119026 17 9

Householder 60 to 64 years PCT119027 17 9

Householder 65 to 74 years PCT119028 17 9

Householder 75 years and over PCT119029 17 9

PCT120. AGGREGATE FAMILY INCOME IN 1999

(DOLLARS) BY FAMILY TYPE BY AGE OF

HOUSEHOLDER [29]

Universe: Families

Aggregate family income in 1999: PCT120001 17 15

Married-couple family: PCT120002 17 15

Householder 15 to 24 years PCT120003 17 15

Householder 25 to 34 years PCT120004 17 15

Householder 35 to 44 years PCT120005 17 15

Householder 45 to 54 years PCT120006 17 15

Householder 55 to 59 years PCT120007 17 15

Householder 60 to 64 years PCT120008 17 15

Householder 65 to 74 years PCT120009 17 15

Householder 75 years and over PCT120010 17 15

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PCT120. AGGREGATE FAMILY INCOME IN 1999

(DOLLARS) BY FAMILY TYPE BY AGE OF

HOUSEHOLDER [29]—Con.

Aggregate family income in 1999—Con.

Other family: PCT120011 17 15

Male householder, no wife present: PCT120012 17 15

Householder 15 to 24 years PCT120013 17 15

Householder 25 to 34 years PCT120014 17 15

Householder 35 to 44 years PCT120015 17 15

Householder 45 to 54 years PCT120016 17 15

Householder 55 to 59 years PCT120017 17 15

Householder 60 to 64 years PCT120018 17 15

Householder 65 to 74 years PCT120019 17 15

Householder 75 years and over PCT120020 17 15

Female householder, no husband present: PCT120021 17 15

Householder 15 to 24 years PCT120022 17 15

Householder 25 to 34 years PCT120023 17 15

Householder 35 to 44 years PCT120024 17 15

Householder 45 to 54 years PCT120025 17 15

Householder 55 to 59 years PCT120026 17 15

Householder 60 to 64 years PCT120027 17 15

Householder 65 to 74 years PCT120028 17 15

Householder 75 years and over PCT120029 17 15

File 18 File Linking Fields (comma delimited)

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Data

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name

Max

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Data

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File Identification FILEID 6 A/N

State/U.S.-Abbreviation (USPS) STUSAB 2 A

Characteristic Iteration CHARITER 3 A/N

Characteristic Iteration File Sequence Number CIFSN 2 A/N

Logical Record Number LOGRECNO 7 N

PCT121. FAMILY TYPE BY PRESENCE OF OWN CHILDREN

UNDER 18 YEARS BY FAMILY INCOME IN 1999

[107]

Universe: Families

Total: PCT121001 18 9

Married-couple family: PCT121002 18 9

With own children under 18 years: PCT121003 18 9

Less than $10,000 PCT121004 18 9

$10,000 to $14,999 PCT121005 18 9

$15,000 to $19,999 PCT121006 18 9

$20,000 to $24,999 PCT121007 18 9

$25,000 to $29,999 PCT121008 18 9

$30,000 to $34,999 PCT121009 18 9

$35,000 to $39,999 PCT121010 18 9

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PCT121. FAMILY TYPE BY PRESENCE OF OWN CHILDREN

UNDER 18 YEARS BY FAMILY INCOME IN 1999

[107]—Con.

Total—Con.

Married-couple family—Con.

With own children under 18 years—Con.

$40,000 to $44,999 PCT121011 18 9

$45,000 to $49,999 PCT121012 18 9

$50,000 to $59,999 PCT121013 18 9

$60,000 to $74,999 PCT121014 18 9

$75,000 to $99,999 PCT121015 18 9

$100,000 to $124,999 PCT121016 18 9

$125,000 to $149,999 PCT121017 18 9

$150,000 to $199,999 PCT121018 18 9

$200,000 or more PCT121019 18 9

No own children under 18 years: PCT121020 18 9

Less than $10,000 PCT121021 18 9

$10,000 to $14,999 PCT121022 18 9

$15,000 to $19,999 PCT121023 18 9

$20,000 to $24,999 PCT121024 18 9

$25,000 to $29,999 PCT121025 18 9

$30,000 to $34,999 PCT121026 18 9

$35,000 to $39,999 PCT121027 18 9

$40,000 to $44,999 PCT121028 18 9

$45,000 to $49,999 PCT121029 18 9

$50,000 to $59,999 PCT121030 18 9

$60,000 to $74,999 PCT121031 18 9

$75,000 to $99,999 PCT121032 18 9

$100,000 to $124,999 PCT121033 18 9

$125,000 to $149,999 PCT121034 18 9

$150,000 to $199,999 PCT121035 18 9

$200,000 or more PCT121036 18 9

Other family: PCT121037 18 9

Male householder, no wife present: PCT121038 18 9

With own children under 18 years: PCT121039 18 9

Less than $10,000 PCT121040 18 9

$10,000 to $14,999 PCT121041 18 9

$15,000 to $19,999 PCT121042 18 9

$20,000 to $24,999 PCT121043 18 9

$25,000 to $29,999 PCT121044 18 9

$30,000 to $34,999 PCT121045 18 9

$35,000 to $39,999 PCT121046 18 9

$40,000 to $44,999 PCT121047 18 9

$45,000 to $49,999 PCT121048 18 9

$50,000 to $59,999 PCT121049 18 9

$60,000 to $74,999 PCT121050 18 9

$75,000 to $99,999 PCT121051 18 9

$100,000 to $124,999 PCT121052 18 9

$125,000 to $149,999 PCT121053 18 9

$150,000 to $199,999 PCT121054 18 9

$200,000 or more PCT121055 18 9

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PCT121. FAMILY TYPE BY PRESENCE OF OWN CHILDREN

UNDER 18 YEARS BY FAMILY INCOME IN 1999

[107]—Con.

Total—Con.

Other family—Con.

Male householder, no wife present—Con.

No own children under 18 years: PCT121056 18 9

Less than $10,000 PCT121057 18 9

$10,000 to $14,999 PCT121058 18 9

$15,000 to $19,999 PCT121059 18 9

$20,000 to $24,999 PCT121060 18 9

$25,000 to $29,999 PCT121061 18 9

$30,000 to $34,999 PCT121062 18 9

$35,000 to $39,999 PCT121063 18 9

$40,000 to $44,999 PCT121064 18 9

$45,000 to $49,999 PCT121065 18 9

$50,000 to $59,999 PCT121066 18 9

$60,000 to $74,999 PCT121067 18 9

$75,000 to $99,999 PCT121068 18 9

$100,000 to $124,999 PCT121069 18 9

$125,000 to $149,999 PCT121070 18 9

$150,000 to $199,999 PCT121071 18 9

$200,000 or more PCT121072 18 9

Female householder, no husband present: PCT121073 18 9

With own children under 18 years: PCT121074 18 9

Less than $10,000 PCT121075 18 9

$10,000 to $14,999 PCT121076 18 9

$15,000 to $19,999 PCT121077 18 9

$20,000 to $24,999 PCT121078 18 9

$25,000 to $29,999 PCT121079 18 9

$30,000 to $34,999 PCT121080 18 9

$35,000 to $39,999 PCT121081 18 9

$40,000 to $44,999 PCT121082 18 9

$45,000 to $49,999 PCT121083 18 9

$50,000 to $59,999 PCT121084 18 9

$60,000 to $74,999 PCT121085 18 9

$75,000 to $99,999 PCT121086 18 9

$100,000 to $124,999 PCT121087 18 9

$125,000 to $149,999 PCT121088 18 9

$150,000 to $199,999 PCT121089 18 9

$200,000 or more PCT121090 18 9

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PCT121. FAMILY TYPE BY PRESENCE OF OWN CHILDREN

UNDER 18 YEARS BY FAMILY INCOME IN 1999

[107]—Con.

Total—Con.

Other family—Con.

Female householder, no husband present—Con.

No own children under 18 years: PCT121091 18 9

Less than $10,000 PCT121092 18 9

$10,000 to $14,999 PCT121093 18 9

$15,000 to $19,999 PCT121094 18 9

$20,000 to $24,999 PCT121095 18 9

$25,000 to $29,999 PCT121096 18 9

$30,000 to $34,999 PCT121097 18 9

$35,000 to $39,999 PCT121098 18 9

$40,000 to $44,999 PCT121099 18 9

$45,000 to $49,999 PCT121100 18 9

$50,000 to $59,999 PCT121101 18 9

$60,000 to $74,999 PCT121102 18 9

$75,000 to $99,999 PCT121103 18 9

$100,000 to $124,999 PCT121104 18 9

$125,000 to $149,999 PCT121105 18 9

$150,000 to $199,999 PCT121106 18 9

$200,000 or more PCT121107 18 9

PCT122. MEDIAN FAMILY INCOME IN 1999 (DOLLARS) BY

PRESENCE OF OWN CHILDREN UNDER 18 YEARS

[3]

Universe: Families

Median family income in 1999 —

Total PCT122001 18 9

With own children under 18 years PCT122002 18 9

No own children under 18 years PCT122003 18 9

PCT123. MEDIAN FAMILY INCOME IN 1999 (DOLLARS) BY

FAMILY TYPE BY PRESENCE OF OWN CHILDREN

UNDER 18 YEARS [11]

Universe: Families

Median family income in 1999 —

Total PCT123001 18 9

Married-couple family —

Total PCT123002 18 9

With own children under 18 years PCT123003 18 9

No own children under 18 years PCT123004 18 9

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PCT123. MEDIAN FAMILY INCOME IN 1999 (DOLLARS) BY

FAMILY TYPE BY PRESENCE OF OWN CHILDREN

UNDER 18 YEARS [11]—Con.

Median family income in 1999—Con.

Other family —

Total PCT123005 18 9

Male householder, no wife present —

Total PCT123006 18 9

With own children under 18 years PCT123007 18 9

No own children under 18 years PCT123008 18 9

Female householder, no husband present —

Total PCT123009 18 9

With own children under 18 years PCT123010 18 9

No own children under 18 years PCT123011 18 9

PCT124. AGGREGATE FAMILY INCOME IN 1999

(DOLLARS) BY FAMILY TYPE BY PRESENCE OF

OWN CHILDREN UNDER 18 YEARS [11]

Universe: Families

Aggregate family income in 1999: PCT124001 18 15

Married-couple family: PCT124002 18 15

With own children under 18 years PCT124003 18 15

No own children under 18 years PCT124004 18 15

Other family: PCT124005 18 15

Male householder, no wife present: PCT124006 18 15

With own children under 18 years PCT124007 18 15

No own children under 18 years PCT124008 18 15

Female householder, no husband present: PCT124009 18 15

With own children under 18 years PCT124010 18 15

No own children under 18 years PCT124011 18 15

PCT125. NONFAMILY HOUSEHOLD INCOME IN 1999 [17] 

Universe: Nonfamily households

Total: PCT125001 18 9

Less than $10,000 PCT125002 18 9

$10,000 to $14,999 PCT125003 18 9

$15,000 to $19,999 PCT125004 18 9

$20,000 to $24,999 PCT125005 18 9

$25,000 to $29,999 PCT125006 18 9

$30,000 to $34,999 PCT125007 18 9

$35,000 to $39,999 PCT125008 18 9

$40,000 to $44,999 PCT125009 18 9

$45,000 to $49,999 PCT125010 18 9

$50,000 to $59,999 PCT125011 18 9

$60,000 to $74,999 PCT125012 18 9

$75,000 to $99,999 PCT125013 18 9

$100,000 to $124,999 PCT125014 18 9

$125,000 to $149,999 PCT125015 18 9

$150,000 to $199,999 PCT125016 18 9

$200,000 or more PCT125017 18 9

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PCT126. MEDIAN NONFAMILY HOUSEHOLD INCOME IN

1999 (DOLLARS) [1]

Universe: Nonfamily households

Median nonfamily household income in 1999 PCT126001 18 9

PCT127. AGGREGATE NONFAMILY HOUSEHOLD INCOME

IN 1999 (DOLLARS) [3]

Universe: Nonfamily households

Aggregate nonfamily household income in 1999: PCT127001 18 15

Less than $200,000 PCT127002 18 15

$200,000 or more PCT127003 18 15

PCT128. MEDIAN NONFAMILY HOUSEHOLD INCOME IN

1999 (DOLLARS) BY SEX OF HOUSEHOLDER BY

LIVING ALONE BY AGE OF HOUSEHOLDER [15]

Universe: Nonfamily households

Median nonfamily household income in 1999 —

Total PCT128001 18 9

Male householder —

Total PCT128002 18 9

Living alone —

Total PCT128003 18 9

Householder 15 to 64 years PCT128004 18 9

Householder 65 years and over PCT128005 18 9

Not living alone —

Total PCT128006 18 9

Householder 15 to 64 years PCT128007 18 9

Householder 65 years and over PCT128008 18 9

Female householder —

Total PCT128009 18 9

Living alone —

Total PCT128010 18 9

Householder 15 to 64 years PCT128011 18 9

Householder 65 years and over PCT128012 18 9

Not living alone —

Total PCT128013 18 9

Householder 15 to 64 years PCT128014 18 9

Householder 65 years and over PCT128015 18 9

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PCT129. AGGREGATE NONFAMILY HOUSEHOLD INCOME

IN 1999 (DOLLARS) BY SEX OF HOUSEHOLDER

BY LIVING ALONE BY AGE OF HOUSEHOLDER

[15]

Universe: Nonfamily households

Aggregate nonfamily household income in 1999: PCT129001 18 15

Male householder: PCT129002 18 15

Living alone: PCT129003 18 15

Householder 15 to 64 years PCT129004 18 15

Householder 65 years and over PCT129005 18 15

Not living alone: PCT129006 18 15

Householder 15 to 64 years PCT129007 18 15

Householder 65 years and over PCT129008 18 15

Female householder: PCT129009 18 15

Living alone: PCT129010 18 15

Householder 15 to 64 years PCT129011 18 15

Householder 65 years and over PCT129012 18 15

Not living alone: PCT129013 18 15

Householder 15 to 64 years PCT129014 18 15

Householder 65 years and over PCT129015 18 15

PCT130. PER CAPITA INCOME IN 1999 (DOLLARS) [1]

Universe: Total population

Per capita income in 1999 PCT130001 18 9

PCT131. AGGREGATE INCOME IN 1999 (DOLLARS) FOR

THE POPULATION 15 YEARS AND OVER [1]

Universe: Population 15 years and over

Aggregate income in 1999 PCT131001 18 15

File 19 File Linking Fields (comma delimited)

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Data

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Data

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File Identification FILEID 6 A/N

State/U.S.-Abbreviation (USPS) STUSAB 2 A

Characteristic Iteration CHARITER 3 A/N

Characteristic Iteration File Sequence Number CIFSN 2 A/N

Logical Record Number LOGRECNO 7 N

Data Dictionary 7–137

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PCT132. SEX BY WORK EXPERIENCE IN 1999 BY INCOME

IN 1999 FOR THE POPULATION 15 YEARS AND

OVER [95]

Universe: Population 15 years and over

Total: PCT132001 19 9

Male: PCT132002 19 9

Worked full-time, year-round in 1999: PCT132003 19 9

No income PCT132004 19 9

With income: PCT132005 19 9

$1 to $2,499 or loss PCT132006 19 9

$2,500 to $4,999 PCT132007 19 9

$5,000 to $7,499 PCT132008 19 9

$7,500 to $9,999 PCT132009 19 9

$10,000 to $12,499 PCT132010 19 9

$12,500 to $14,999 PCT132011 19 9

$15,000 to $17,499 PCT132012 19 9

$17,500 to $19,999 PCT132013 19 9

$20,000 to $22,499 PCT132014 19 9

$22,500 to $24,999 PCT132015 19 9

$25,000 to $29,999 PCT132016 19 9

$30,000 to $34,999 PCT132017 19 9

$35,000 to $39,999 PCT132018 19 9

$40,000 to $44,999 PCT132019 19 9

$45,000 to $49,999 PCT132020 19 9

$50,000 to $54,999 PCT132021 19 9

$55,000 to $64,999 PCT132022 19 9

$65,000 to $74,999 PCT132023 19 9

$75,000 to $99,999 PCT132024 19 9

$100,000 or more PCT132025 19 9

Other: PCT132026 19 9

No income PCT132027 19 9

With income: PCT132028 19 9

$1 to $2,499 or loss PCT132029 19 9

$2,500 to $4,999 PCT132030 19 9

$5,000 to $7,499 PCT132031 19 9

$7,500 to $9,999 PCT132032 19 9

$10,000 to $12,499 PCT132033 19 9

$12,500 to $14,999 PCT132034 19 9

$15,000 to $17,499 PCT132035 19 9

$17,500 to $19,999 PCT132036 19 9

$20,000 to $22,499 PCT132037 19 9

$22,500 to $24,999 PCT132038 19 9

$25,000 to $29,999 PCT132039 19 9

$30,000 to $34,999 PCT132040 19 9

$35,000 to $39,999 PCT132041 19 9

$40,000 to $44,999 PCT132042 19 9

$45,000 to $49,999 PCT132043 19 9

7–138 Data Dictionary

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PCT132. SEX BY WORK EXPERIENCE IN 1999 BY INCOME

IN 1999 FOR THE POPULATION 15 YEARS AND

OVER [95]—Con.

Total—Con.

Male—Con.

Other—Con.

With income—Con.

$50,000 to $54,999 PCT132044 19 9

$55,000 to $64,999 PCT132045 19 9

$65,000 to $74,999 PCT132046 19 9

$75,000 to $99,999 PCT132047 19 9

$100,000 or more PCT132048 19 9

Female: PCT132049 19 9

Worked full-time, year-round in 1999: PCT132050 19 9

No income PCT132051 19 9

With income: PCT132052 19 9

$1 to $2,499 or loss PCT132053 19 9

$2,500 to $4,999 PCT132054 19 9

$5,000 to $7,499 PCT132055 19 9

$7,500 to $9,999 PCT132056 19 9

$10,000 to $12,499 PCT132057 19 9

$12,500 to $14,999 PCT132058 19 9

$15,000 to $17,499 PCT132059 19 9

$17,500 to $19,999 PCT132060 19 9

$20,000 to $22,499 PCT132061 19 9

$22,500 to $24,999 PCT132062 19 9

$25,000 to $29,999 PCT132063 19 9

$30,000 to $34,999 PCT132064 19 9

$35,000 to $39,999 PCT132065 19 9

$40,000 to $44,999 PCT132066 19 9

$45,000 to $49,999 PCT132067 19 9

$50,000 to $54,999 PCT132068 19 9

$55,000 to $64,999 PCT132069 19 9

$65,000 to $74,999 PCT132070 19 9

$75,000 to $99,999 PCT132071 19 9

$100,000 or more PCT132072 19 9

Other: PCT132073 19 9

No income PCT132074 19 9

With income: PCT132075 19 9

$1 to $2,499 or loss PCT132076 19 9

$2,500 to $4,999 PCT132077 19 9

$5,000 to $7,499 PCT132078 19 9

$7,500 to $9,999 PCT132079 19 9

$10,000 to $12,499 PCT132080 19 9

$12,500 to $14,999 PCT132081 19 9

$15,000 to $17,499 PCT132082 19 9

$17,500 to $19,999 PCT132083 19 9

$20,000 to $22,499 PCT132084 19 9

$22,500 to $24,999 PCT132085 19 9

$25,000 to $29,999 PCT132086 19 9

Data Dictionary 7–139

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PCT132. SEX BY WORK EXPERIENCE IN 1999 BY INCOME

IN 1999 FOR THE POPULATION 15 YEARS AND

OVER [95]—Con.

Total—Con.

Male—Con.

Other—Con.

With income—Con.

Other:

$30,000 to $34,999 PCT132087 19 9

$35,000 to $39,999 PCT132088 19 9

$40,000 to $44,999 PCT132089 19 9

$45,000 to $49,999 PCT132090 19 9

$50,000 to $54,999 PCT132091 19 9

$55,000 to $64,999 PCT132092 19 9

$65,000 to $74,999 PCT132093 19 9

$75,000 to $99,999 PCT132094 19 9

$100,000 or more PCT132095 19 9

PCT133. MEDIAN INCOME IN 1999 (DOLLARS) BY SEX BY

WORK EXPERIENCE IN 1999 FOR THE

POPULATION 15 YEARS AND OVER WITH

INCOME [6]

Universe: Population 15 years and over with income

in 1999

Median income in 1999 —

Male —

Total PCT133001 19 9

Worked full-time, year-round in 1999 PCT133002 19 9

Other PCT133003 19 9

Female —

Total PCT133004 19 9

Worked full-time, year-round in 1999 PCT133005 19 9

Other PCT133006 19 9

PCT134. AGGREGATE INCOME IN 1999 (DOLLARS) BY SEX

BY WORK EXPERIENCE IN 1999 FOR THE

POPULATION 15 YEARS AND OVER WITH

INCOME [7]

Universe: Population 15 years and over with income

in 1999

Total: PCT134001 19 15

Male: PCT134002 19 15

Worked full-time, year-round in 1999 PCT134003 19 15

Other PCT134004 19 15

Female: PCT134005 19 15

Worked full-time, year-round in 1999 PCT134006 19 15

Other PCT134007 19 15

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PCT135. SEX BY EARNINGS IN 1999 FOR THE

POPULATION 16 YEARS AND OVER WITH

EARNINGS [43]

Universe: Population 16 years and over with

earnings

Total: PCT135001 19 9

Male: PCT135002 19 9

$1 to $2,499 or loss PCT135003 19 9

$2,500 to $4,999 PCT135004 19 9

$5,000 to $7,499 PCT135005 19 9

$7,500 to $9,999 PCT135006 19 9

$10,000 to $12,499 PCT135007 19 9

$12,500 to $14,999 PCT135008 19 9

$15,000 to $17,499 PCT135009 19 9

$17,500 to $19,999 PCT135010 19 9

$20,000 to $22,499 PCT135011 19 9

$22,500 to $24,999 PCT135012 19 9

$25,000 to $29,999 PCT135013 19 9

$30,000 to $34,999 PCT135014 19 9

$35,000 to $39,999 PCT135015 19 9

$40,000 to $44,999 PCT135016 19 9

$45,000 to $49,999 PCT135017 19 9

$50,000 to $54,999 PCT135018 19 9

$55,000 to $64,999 PCT135019 19 9

$65,000 to $74,999 PCT135020 19 9

$75,000 to $99,999 PCT135021 19 9

$100,000 or more PCT135022 19 9

Female: PCT135023 19 9

$1 to $2,499 or loss PCT135024 19 9

$2,500 to $4,999 PCT135025 19 9

$5,000 to $7,499 PCT135026 19 9

$7,500 to $9,999 PCT135027 19 9

$10,000 to $12,499 PCT135028 19 9

$12,500 to $14,999 PCT135029 19 9

$15,000 to $17,499 PCT135030 19 9

$17,500 to $19,999 PCT135031 19 9

$20,000 to $22,499 PCT135032 19 9

$22,500 to $24,999 PCT135033 19 9

$25,000 to $29,999 PCT135034 19 9

$30,000 to $34,999 PCT135035 19 9

$35,000 to $39,999 PCT135036 19 9

$40,000 to $44,999 PCT135037 19 9

$45,000 to $49,999 PCT135038 19 9

$50,000 to $54,999 PCT135039 19 9

$55,000 to $64,999 PCT135040 19 9

$65,000 to $74,999 PCT135041 19 9

$75,000 to $99,999 PCT135042 19 9

$100,000 or more PCT135043 19 9

Data Dictionary 7–141

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PCT136. MEDIAN EARNINGS IN 1999 (DOLLARS) BY SEX

FOR THE POPULATION 16 YEARS AND OVER

WITH EARNINGS [3]

Universe: Population 16 years and over with

earnings

Median earnings in 1999 —

Total PCT136001 19 9

Male PCT136002 19 9

Female PCT136003 19 9

PCT137. AGGREGATE EARNINGS IN 1999 (DOLLARS) BY

SEX FOR THE POPULATION 16 YEARS AND OVER

WITH EARNINGS [3]

Universe: Population 16 years and over with

earnings

Aggregate earnings in 1999: PCT137001 19 15

Male PCT137002 19 15

Female PCT137003 19 15

File 20 File Linking Fields (comma delimited)

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Data

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reference nameMax

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Data

type

File Identification FILEID 6 A/N

State/U.S.-Abbreviation (USPS) STUSAB 2 A

Characteristic Iteration CHARITER 3 A/N

Characteristic Iteration File Sequence Number CIFSN 2 A/N

Logical Record Number LOGRECNO 7 N

PCT138. SEX BY WORK EXPERIENCE IN 1999 BY

EARNINGS IN 1999 FOR THE POPULATION

16 YEARS AND OVER [95]

Universe: Population 16 years and over

Total: PCT138001 20 9

Male: PCT138002 20 9

Worked full-time, year-round in 1999: PCT138003 20 9

No earnings PCT138004 20 9

With earnings: PCT138005 20 9

$1 to $2,499 or loss PCT138006 20 9

$2,500 to $4,999 PCT138007 20 9

$5,000 to $7,499 PCT138008 20 9

$7,500 to $9,999 PCT138009 20 9

$10,000 to $12,499 PCT138010 20 9

$12,500 to $14,999 PCT138011 20 9

$15,000 to $17,499 PCT138012 20 9

$17,500 to $19,999 PCT138013 20 9

$20,000 to $22,499 PCT138014 20 9

$22,500 to $24,999 PCT138015 20 9

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PCT138. SEX BY WORK EXPERIENCE IN 1999 BY

EARNINGS IN 1999 FOR THE POPULATION

16 YEARS AND OVER [95]—Con.

Total—Con.

Male—Con.

Worked full-time, year-round in 1999—Con.

With earnings—Con.

$25,000 to $29,999 PCT138016 20 9

$30,000 to $34,999 PCT138017 20 9

$35,000 to $39,999 PCT138018 20 9

$40,000 to $44,999 PCT138019 20 9

$45,000 to $49,999 PCT138020 20 9

$50,000 to $54,999 PCT138021 20 9

$55,000 to $64,999 PCT138022 20 9

$65,000 to $74,999 PCT138023 20 9

$75,000 to $99,999 PCT138024 20 9

$100,000 or more PCT138025 20 9

Other: PCT138026 20 9

No earnings PCT138027 20 9

With earnings: PCT138028 20 9

$1 to $2,499 or loss PCT138029 20 9

$2,500 to $4,999 PCT138030 20 9

$5,000 to $7,499 PCT138031 20 9

$7,500 to $9,999 PCT138032 20 9

$10,000 to $12,499 PCT138033 20 9

$12,500 to $14,999 PCT138034 20 9

$15,000 to $17,499 PCT138035 20 9

$17,500 to $19,999 PCT138036 20 9

$20,000 to $22,499 PCT138037 20 9

$22,500 to $24,999 PCT138038 20 9

$25,000 to $29,999 PCT138039 20 9

$30,000 to $34,999 PCT138040 20 9

$35,000 to $39,999 PCT138041 20 9

$40,000 to $44,999 PCT138042 20 9

$45,000 to $49,999 PCT138043 20 9

$50,000 to $54,999 PCT138044 20 9

$55,000 to $64,999 PCT138045 20 9

$65,000 to $74,999 PCT138046 20 9

$75,000 to $99,999 PCT138047 20 9

$100,000 or more PCT138048 20 9

Female: PCT138049 20 9

Worked full-time, year-round in 1999: PCT138050 20 9

No earnings PCT138051 20 9

With earnings: PCT138052 20 9

$1 to $2,499 or loss PCT138053 20 9

$2,500 to $4,999 PCT138054 20 9

$5,000 to $7,499 PCT138055 20 9

$7,500 to $9,999 PCT138056 20 9

$10,000 to $12,499 PCT138057 20 9

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PCT138. SEX BY WORK EXPERIENCE IN 1999 BY

EARNINGS IN 1999 FOR THE POPULATION

16 YEARS AND OVER [95]—Con.

Total—Con.

Female—Con.

Worked full-time, year-round in 1999—Con.

With earnings—Con.

$12,500 to $14,999 PCT138058 20 9

$15,000 to $17,499 PCT138059 20 9

$17,500 to $19,999 PCT138060 20 9

$20,000 to $22,499 PCT138061 20 9

$22,500 to $24,999 PCT138062 20 9

$25,000 to $29,999 PCT138063 20 9

$30,000 to $34,999 PCT138064 20 9

$35,000 to $39,999 PCT138065 20 9

$40,000 to $44,999 PCT138066 20 9

$45,000 to $49,999 PCT138067 20 9

$50,000 to $54,999 PCT138068 20 9

$55,000 to $64,999 PCT138069 20 9

$65,000 to $74,999 PCT138070 20 9

$75,000 to $99,999 PCT138071 20 9

$100,000 or more PCT138072 20 9

Other: PCT138073 20 9

No earnings PCT138074 20 9

With earnings: PCT138075 20 9

$1 to $2,499 or loss PCT138076 20 9

$2,500 to $4,999 PCT138077 20 9

$5,000 to $7,499 PCT138078 20 9

$7,500 to $9,999 PCT138079 20 9

$10,000 to $12,499 PCT138080 20 9

$12,500 to $14,999 PCT138081 20 9

$15,000 to $17,499 PCT138082 20 9

$17,500 to $19,999 PCT138083 20 9

$20,000 to $22,499 PCT138084 20 9

$22,500 to $24,999 PCT138085 20 9

$25,000 to $29,999 PCT138086 20 9

$30,000 to $34,999 PCT138087 20 9

$35,000 to $39,999 PCT138088 20 9

$40,000 to $44,999 PCT138089 20 9

$45,000 to $49,999 PCT138090 20 9

$50,000 to $54,999 PCT138091 20 9

$55,000 to $64,999 PCT138092 20 9

$65,000 to $74,999 PCT138093 20 9

$75,000 to $99,999 PCT138094 20 9

$100,000 or more PCT138095 20 9

7–144 Data Dictionary

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PCT139. MEDIAN EARNINGS IN 1999 (DOLLARS) BY

WORK EXPERIENCE IN 1999 BY SEX FOR THE

POPULATION 16 YEARS AND OVER WITH

EARNINGS IN 1999 [6]

Universe: Population 16 years and over with

earnings in 1999

Median earnings in 1999 —

Worked full-time, year-round in 1999 —

Total PCT139001 20 9

Male PCT139002 20 9

Female PCT139003 20 9

Other —

Total PCT139004 20 9

Male PCT139005 20 9

Female PCT139006 20 9

PCT140. AGGREGATE EARNINGS IN 1999 (DOLLARS) BY

SEX FOR FULL-TIME, YEAR-ROUND WORKERS

16 YEARS AND OVER WITH EARNINGS IN 1999

[3]

Universe: Full-time, year-round workers 16 years and

over with earnings in 1999

Aggregate earnings in 1999: PCT140001 20 15

Male PCT140002 20 15

Female PCT140003 20 15

PCT141. RATIO OF INCOME IN 1999 TO POVERTY LEVEL

[11]

Universe: Population for whom poverty status is

determined

Total: PCT141001 20 9

Under .50 PCT141002 20 9

.50 to .74 PCT141003 20 9

.75 to .99 PCT141004 20 9

1.00 to 1.24 PCT141005 20 9

1.25 to 1.29 PCT141006 20 9

1.30 to 1.49 PCT141007 20 9

1.50 to 1.74 PCT141008 20 9

1.75 to 1.84 PCT141009 20 9

1.85 to 1.99 PCT141010 20 9

2.00 and over PCT141011 20 9

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PCT142. POVERTY STATUS IN 1999 BY SEX BY AGE [59]

Universe: Population for whom poverty status is

determined

Total: PCT142001 20 9

Income in 1999 below poverty level: PCT142002 20 9

Male: PCT142003 20 9

Under 5 years PCT142004 20 9

5 years PCT142005 20 9

6 to 11 years PCT142006 20 9

12 to 14 years PCT142007 20 9

15 years PCT142008 20 9

16 and 17 years PCT142009 20 9

18 to 24 years PCT142010 20 9

25 to 34 years PCT142011 20 9

35 to 44 years PCT142012 20 9

45 to 54 years PCT142013 20 9

55 to 64 years PCT142014 20 9

65 to 74 years PCT142015 20 9

75 years and over PCT142016 20 9

Female: PCT142017 20 9

Under 5 years PCT142018 20 9

5 years PCT142019 20 9

6 to 11 years PCT142020 20 9

12 to 14 years PCT142021 20 9

15 years PCT142022 20 9

16 and 17 years PCT142023 20 9

18 to 24 years PCT142024 20 9

25 to 34 years PCT142025 20 9

35 to 44 years PCT142026 20 9

45 to 54 years PCT142027 20 9

55 to 64 years PCT142028 20 9

65 to 74 years PCT142029 20 9

75 years and over PCT142030 20 9

Income in 1999 at or above poverty level: PCT142031 20 9

Male: PCT142032 20 9

Under 5 years PCT142033 20 9

5 years PCT142034 20 9

6 to 11 years PCT142035 20 9

12 to 14 years PCT142036 20 9

15 years PCT142037 20 9

16 and 17 years PCT142038 20 9

18 to 24 years PCT142039 20 9

25 to 34 years PCT142040 20 9

35 to 44 years PCT142041 20 9

45 to 54 years PCT142042 20 9

55 to 64 years PCT142043 20 9

65 to 74 years PCT142044 20 9

75 years and over PCT142045 20 9

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PCT142. POVERTY STATUS IN 1999 BY SEX BY AGE

[59]—Con.

Total—Con.

Income in 1999 at or above poverty level—Con.

Female: PCT142046 20 9

Under 5 years PCT142047 20 9

5 years PCT142048 20 9

6 to 11 years PCT142049 20 9

12 to 14 years PCT142050 20 9

15 years PCT142051 20 9

16 and 17 years PCT142052 20 9

18 to 24 years PCT142053 20 9

25 to 34 years PCT142054 20 9

35 to 44 years PCT142055 20 9

45 to 54 years PCT142056 20 9

55 to 64 years PCT142057 20 9

65 to 74 years PCT142058 20 9

75 years and over PCT142059 20 9

PCT143. POVERTY STATUS IN 1999 BY AGE BY

HOUSEHOLD TYPE [39]

Universe: Population for whom poverty status is

determined

Total: PCT143001 20 9

Income in 1999 below poverty level: PCT143002 20 9

Under 65 years: PCT143003 20 9

In married-couple family households PCT143004 20 9

In other family households: PCT143005 20 9

Male householder, no wife present PCT143006 20 9

Female householder, no husband present PCT143007 20 9

In nonfamily households and group quarters PCT143008 20 9

65 to 74 years: PCT143009 20 9

In married-couple family households PCT143010 20 9

In other family households: PCT143011 20 9

Male householder, no wife present PCT143012 20 9

Female householder, no husband present PCT143013 20 9

In nonfamily households and group quarters PCT143014 20 9

75 years and over: PCT143015 20 9

In married-couple family households PCT143016 20 9

In other family households: PCT143017 20 9

Male householder, no wife present PCT143018 20 9

Female householder, no husband present PCT143019 20 9

In nonfamily households and group quarters PCT143020 20 9

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PCT143. POVERTY STATUS IN 1999 BY AGE BY

HOUSEHOLD TYPE [39]—Con.

Total—Con.

Income in 1999 at or above poverty level: PCT143021 20 9

Under 65 years: PCT143022 20 9

In married-couple family households PCT143023 20 9

In other family households: PCT143024 20 9

Male householder, no wife present PCT143025 20 9

Female householder, no husband present PCT143026 20 9

In nonfamily households and group quarters PCT143027 20 9

65 to 74 years: PCT143028 20 9

In married-couple family households PCT143029 20 9

In other family households: PCT143030 20 9

Male householder, no wife present PCT143031 20 9

Female householder, no husband present PCT143032 20 9

In nonfamily households and group quarters PCT143033 20 9

75 years and over: PCT143034 20 9

In married-couple family households PCT143035 20 9

In other family households: PCT143036 20 9

Male householder, no wife present PCT143037 20 9

Female householder, no husband present PCT143038 20 9

In nonfamily households and group quarters PCT143039 20 9

File 21 File Linking Fields (comma delimited)

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File Identification FILEID 6 A/N

State/U.S.-Abbreviation (USPS) STUSAB 2 A

Characteristic Iteration CHARITER 3 A/N

Characteristic Iteration File Sequence Number CIFSN 2 A/N

Logical Record Number LOGRECNO 7 N

PCT144. AGE BY RATIO OF INCOME IN 1999 TO POVERTY

LEVEL [144]

Universe: Population for whom poverty status is

determined

Total: PCT144001 21 9

Under 5 years: PCT144002 21 9

Under .50 PCT144003 21 9

.50 to .74 PCT144004 21 9

.75 to .99 PCT144005 21 9

1.00 to 1.24 PCT144006 21 9

1.25 to 1.29 PCT144007 21 9

1.30 to 1.49 PCT144008 21 9

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PCT144. AGE BY RATIO OF INCOME IN 1999 TO POVERTY

LEVEL [144]—Con.

Total—Con.

Under 5 years—Con.

1.50 to 1.74 PCT144009 21 9

1.75 to 1.84 PCT144010 21 9

1.85 to 1.99 PCT144011 21 9

2.00 and over PCT144012 21 9

5 years: PCT144013 21 9

Under .50 PCT144014 21 9

.50 to .74 PCT144015 21 9

.75 to .99 PCT144016 21 9

1.00 to 1.24 PCT144017 21 9

1.25 to 1.29 PCT144018 21 9

1.30 to 1.49 PCT144019 21 9

1.50 to 1.74 PCT144020 21 9

1.75 to 1.84 PCT144021 21 9

1.85 to 1.99 PCT144022 21 9

2.00 and over PCT144023 21 9

6 to 11 years: PCT144024 21 9

Under .50 PCT144025 21 9

.50 to .74 PCT144026 21 9

.75 to .99 PCT144027 21 9

1.00 to 1.24 PCT144028 21 9

1.25 to 1.29 PCT144029 21 9

1.30 to 1.49 PCT144030 21 9

1.50 to 1.74 PCT144031 21 9

1.75 to 1.84 PCT144032 21 9

1.85 to 1.99 PCT144033 21 9

2.00 and over PCT144034 21 9

12 to 14 years: PCT144035 21 9

Under .50 PCT144036 21 9

.50 to .74 PCT144037 21 9

.75 to .99 PCT144038 21 9

1.00 to 1.24 PCT144039 21 9

1.25 to 1.29 PCT144040 21 9

1.30 to 1.49 PCT144041 21 9

1.50 to 1.74 PCT144042 21 9

1.75 to 1.84 PCT144043 21 9

1.85 to 1.99 PCT144044 21 9

2.00 and over PCT144045 21 9

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PCT144. AGE BY RATIO OF INCOME IN 1999 TO POVERTY

LEVEL [144]—Con.

Total—Con.

15 years: PCT144046 21 9

Under .50 PCT144047 21 9

.50 to .74 PCT144048 21 9

.75 to .99 PCT144049 21 9

1.00 to 1.24 PCT144050 21 9

1.25 to 1.29 PCT144051 21 9

1.30 to 1.49 PCT144052 21 9

1.50 to 1.74 PCT144053 21 9

1.75 to 1.84 PCT144054 21 9

1.85 to 1.99 PCT144055 21 9

2.00 and over PCT144056 21 9

16 and 17 years: PCT144057 21 9

Under .50 PCT144058 21 9

.50 to .74 PCT144059 21 9

.75 to .99 PCT144060 21 9

1.00 to 1.24 PCT144061 21 9

1.25 to 1.29 PCT144062 21 9

1.30 to 1.49 PCT144063 21 9

1.50 to 1.74 PCT144064 21 9

1.75 to 1.84 PCT144065 21 9

1.85 to 1.99 PCT144066 21 9

2.00 and over PCT144067 21 9

18 to 24 years: PCT144068 21 9

Under .50 PCT144069 21 9

.50 to .74 PCT144070 21 9

.75 to .99 PCT144071 21 9

1.00 to 1.24 PCT144072 21 9

1.25 to 1.29 PCT144073 21 9

1.30 to 1.49 PCT144074 21 9

1.50 to 1.74 PCT144075 21 9

1.75 to 1.84 PCT144076 21 9

1.85 to 1.99 PCT144077 21 9

2.00 and over PCT144078 21 9

25 to 34 years: PCT144079 21 9

Under .50 PCT144080 21 9

.50 to .74 PCT144081 21 9

.75 to .99 PCT144082 21 9

1.00 to 1.24 PCT144083 21 9

1.25 to 1.29 PCT144084 21 9

1.30 to 1.49 PCT144085 21 9

1.50 to 1.74 PCT144086 21 9

1.75 to 1.84 PCT144087 21 9

1.85 to 1.99 PCT144088 21 9

2.00 and over PCT144089 21 9

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PCT144. AGE BY RATIO OF INCOME IN 1999 TO POVERTY

LEVEL [144]—Con.

Total—Con.

35 to 44 years: PCT144090 21 9

Under .50 PCT144091 21 9

.50 to .74 PCT144092 21 9

.75 to .99 PCT144093 21 9

1.00 to 1.24 PCT144094 21 9

1.25 to 1.29 PCT144095 21 9

1.30 to 1.49 PCT144096 21 9

1.50 to 1.74 PCT144097 21 9

1.75 to 1.84 PCT144098 21 9

1.85 to 1.99 PCT144099 21 9

2.00 and over PCT144100 21 9

45 to 54 years: PCT144101 21 9

Under .50 PCT144102 21 9

.50 to .74 PCT144103 21 9

.75 to .99 PCT144104 21 9

1.00 to 1.24 PCT144105 21 9

1.25 to 1.29 PCT144106 21 9

1.30 to 1.49 PCT144107 21 9

1.50 to 1.74 PCT144108 21 9

1.75 to 1.84 PCT144109 21 9

1.85 to 1.99 PCT144110 21 9

2.00 and over PCT144111 21 9

55 to 64 years: PCT144112 21 9

Under .50 PCT144113 21 9

.50 to .74 PCT144114 21 9

.75 to .99 PCT144115 21 9

1.00 to 1.24 PCT144116 21 9

1.25 to 1.29 PCT144117 21 9

1.30 to 1.49 PCT144118 21 9

1.50 to 1.74 PCT144119 21 9

1.75 to 1.84 PCT144120 21 9

1.85 to 1.99 PCT144121 21 9

2.00 and over PCT144122 21 9

65 to 74 years: PCT144123 21 9

Under .50 PCT144124 21 9

.50 to .74 PCT144125 21 9

.75 to .99 PCT144126 21 9

1.00 to 1.24 PCT144127 21 9

1.25 to 1.29 PCT144128 21 9

1.30 to 1.49 PCT144129 21 9

1.50 to 1.74 PCT144130 21 9

1.75 to 1.84 PCT144131 21 9

1.85 to 1.99 PCT144132 21 9

2.00 and over PCT144133 21 9

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PCT144. AGE BY RATIO OF INCOME IN 1999 TO POVERTY

LEVEL [144]—Con.

Total—Con.

75 years and over: PCT144134 21 9

Under .50 PCT144135 21 9

.50 to .74 PCT144136 21 9

.75 to .99 PCT144137 21 9

1.00 to 1.24 PCT144138 21 9

1.25 to 1.29 PCT144139 21 9

1.30 to 1.49 PCT144140 21 9

1.50 to 1.74 PCT144141 21 9

1.75 to 1.84 PCT144142 21 9

1.85 to 1.99 PCT144143 21 9

2.00 and over PCT144144 21 9

File 22 File Linking Fields (comma delimited)

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File Identification FILEID 6 A/N

State/U.S.-Abbreviation (USPS) STUSAB 2 A

Characteristic Iteration CHARITER 3 A/N

Characteristic Iteration File Sequence Number CIFSN 2 A/N

Logical Record Number LOGRECNO 7 N

PCT145. RATIO OF INCOME IN 1999 TO POVERTY LEVEL

BY AGE BY EDUCATIONAL ATTAINMENT FOR

THE POPULATION 18 YEARS AND OVER [111]

Universe: Population 18 years and over for whom

poverty status is determined

Total: PCT145001 22 9

Under 1.00: PCT145002 22 9

18 to 24 years: PCT145003 22 9

Less than 9th grade PCT145004 22 9

9th to 12th grade, no diploma PCT145005 22 9

High school graduate (includes equivalency) PCT145006 22 9

Some college, no degree PCT145007 22 9

Associate degree PCT145008 22 9

Bachelor’s degree or higher PCT145009 22 9

25 to 64 years: PCT145010 22 9

Less than 9th grade PCT145011 22 9

9th to 12th grade, no diploma PCT145012 22 9

High school graduate (includes equivalency) PCT145013 22 9

Some college, no degree PCT145014 22 9

Associate degree PCT145015 22 9

Bachelor’s degree or higher PCT145016 22 9

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PCT145. RATIO OF INCOME IN 1999 TO POVERTY LEVEL

BY AGE BY EDUCATIONAL ATTAINMENT FOR

THE POPULATION 18 YEARS AND OVER

[111]—Con.

Total—Con.

Under 1.00—Con.

65 years and over: PCT145017 22 9

Less than 9th grade PCT145018 22 9

9th to 12th grade, no diploma PCT145019 22 9

High school graduate (includes equivalency) PCT145020 22 9

Some college, no degree PCT145021 22 9

Associate degree PCT145022 22 9

Bachelor’s degree or higher PCT145023 22 9

1.00 to 1.24: PCT145024 22 9

18 to 24 years: PCT145025 22 9

Less than 9th grade PCT145026 22 9

9th to 12th grade, no diploma PCT145027 22 9

High school graduate (includes equivalency) PCT145028 22 9

Some college, no degree PCT145029 22 9

Associate degree PCT145030 22 9

Bachelor’s degree or higher PCT145031 22 9

25 to 64 years: PCT145032 22 9

Less than 9th grade PCT145033 22 9

9th to 12th grade, no diploma PCT145034 22 9

High school graduate (includes equivalency) PCT145035 22 9

Some college, no degree PCT145036 22 9

Associate degree PCT145037 22 9

Bachelor’s degree or higher PCT145038 22 9

65 years and over: PCT145039 22 9

Less than 9th grade PCT145040 22 9

9th to 12th grade, no diploma PCT145041 22 9

High school graduate (includes equivalency) PCT145042 22 9

Some college, no degree PCT145043 22 9

Associate degree PCT145044 22 9

Bachelor’s degree or higher PCT145045 22 9

1.25 to 1.84: PCT145046 22 9

18 to 24 years: PCT145047 22 9

Less than 9th grade PCT145048 22 9

9th to 12th grade, no diploma PCT145049 22 9

High school graduate (includes equivalency) PCT145050 22 9

Some college, no degree PCT145051 22 9

Associate degree PCT145052 22 9

Bachelor’s degree or higher PCT145053 22 9

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PCT145. RATIO OF INCOME IN 1999 TO POVERTY LEVEL

BY AGE BY EDUCATIONAL ATTAINMENT FOR

THE POPULATION 18 YEARS AND OVER

[111]—Con.

Total—Con.

1.25 to 1.84—Con.

25 to 64 years: PCT145054 22 9

Less than 9th grade PCT145055 22 9

9th to 12th grade, no diploma PCT145056 22 9

High school graduate (includes equivalency) PCT145057 22 9

Some college, no degree PCT145058 22 9

Associate degree PCT145059 22 9

Bachelor’s degree or higher PCT145060 22 9

65 years and over: PCT145061 22 9

Less than 9th grade PCT145062 22 9

9th to 12th grade, no diploma PCT145063 22 9

High school graduate (includes equivalency) PCT145064 22 9

Some college, no degree PCT145065 22 9

Associate degree PCT145066 22 9

Bachelor’s degree or higher PCT145067 22 9

1.85 to 1.99: PCT145068 22 9

18 to 24 years: PCT145069 22 9

Less than 9th grade PCT145070 22 9

9th to 12th grade, no diploma PCT145071 22 9

High school graduate (includes equivalency) PCT145072 22 9

Some college, no degree PCT145073 22 9

Associate degree PCT145074 22 9

Bachelor’s degree or higher PCT145075 22 9

25 to 64 years: PCT145076 22 9

Less than 9th grade PCT145077 22 9

9th to 12th grade, no diploma PCT145078 22 9

High school graduate (includes equivalency) PCT145079 22 9

Some college, no degree PCT145080 22 9

Associate degree PCT145081 22 9

Bachelor’s degree or higher PCT145082 22 9

65 years and over: PCT145083 22 9

Less than 9th grade PCT145084 22 9

9th to 12th grade, no diploma PCT145085 22 9

High school graduate (includes equivalency) PCT145086 22 9

Some college, no degree PCT145087 22 9

Associate degree PCT145088 22 9

Bachelor’s degree or higher PCT145089 22 9

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PCT145. RATIO OF INCOME IN 1999 TO POVERTY LEVEL

BY AGE BY EDUCATIONAL ATTAINMENT FOR

THE POPULATION 18 YEARS AND OVER

[111]—Con.

Total—Con.

2.00 and over—Con. PCT145090 22 9

18 to 24 years: PCT145091 22 9

Less than 9th grade PCT145092 22 9

9th to 12th grade, no diploma PCT145093 22 9

High school graduate (includes equivalency) PCT145094 22 9

Some college, no degree PCT145095 22 9

Associate degree PCT145096 22 9

Bachelor’s degree or higher PCT145097 22 9

25 to 64 years: PCT145098 22 9

Less than 9th grade PCT145099 22 9

9th to 12th grade, no diploma PCT145100 22 9

High school graduate (includes equivalency) PCT145101 22 9

Some college, no degree PCT145102 22 9

Associate degree PCT145103 22 9

Bachelor’s degree or higher PCT145104 22 9

65 years and over: PCT145105 22 9

Less than 9th grade PCT145106 22 9

9th to 12th grade, no diploma PCT145107 22 9

High school graduate (includes equivalency) PCT145108 22 9

Some college, no degree PCT145109 22 9

Associate degree PCT145110 22 9

Bachelor’s degree or higher PCT145111 22 9

PCT146. RATIO OF INCOME IN 1999 TO POVERTY LEVEL

BY TYPE OF PUBLIC ASSISTANCE INCOME IN

1999 [16]

Universe: Population for whom poverty status is

determined

Total: PCT146001 22 9

Under 1.00: PCT146002 22 9

Supplemental Security Income only PCT146003 22 9

Other public assistance income only PCT146004 22 9

Both Supplemental Security Income and other

public assistance income PCT146005 22 9

No public assistance income PCT146006 22 9

1.00 to 1.84: PCT146007 22 9

Supplemental Security Income only PCT146008 22 9

Other public assistance income only PCT146009 22 9

Both Supplemental Security Income and other

public assistance income PCT146010 22 9

No public assistance income PCT146011 22 9

1.85 and over: PCT146012 22 9

Supplemental Security Income only PCT146013 22 9

Other public assistance income only PCT146014 22 9

Both Supplemental Security Income and other

public assistance income PCT146015 22 9

No public assistance income PCT146016 22 9

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PCT147. POVERTY STATUS IN 1999 BY PLACE OF BIRTH

BY CITIZENSHIP STATUS [21]

Universe: Population for whom poverty status is

determined

Total: PCT147001 22 9

Income in 1999 below poverty level: PCT147002 22 9

Native: PCT147003 22 9

Born in the United States PCT147004 22 9

Born outside the United States: PCT147005 22 9

Born in Puerto Rico PCT147006 22 9

Born in U.S. Island Areas PCT147007 22 9

Born abroad of American parent(s) PCT147008 22 9

Foreign born: PCT147009 22 9

Naturalized citizen PCT147010 22 9

Not a citizen PCT147011 22 9

Income in 1999 at or above poverty level: PCT147012 22 9

Native: PCT147013 22 9

Born in the United States PCT147014 22 9

Born outside the United States: PCT147015 22 9

Born in Puerto Rico PCT147016 22 9

Born in U.S. Island Areas PCT147017 22 9

Born abroad of American parent(s) PCT147018 22 9

Foreign born: PCT147019 22 9

Naturalized citizen PCT147020 22 9

Not a citizen PCT147021 22 9

PCT148. POVERTY STATUS IN 1999 BY DISABILITY

STATUS BY AGE FOR THE POPULATION

5 YEARS AND OVER [43]

Universe: Civilian noninstitutionalized population

5 years and over for whom poverty status is

determined

Total: PCT148001 22 9

Income in 1999 below poverty level: PCT148002 22 9

With a disability: PCT148003 22 9

5 to 15 years PCT148004 22 9

16 to 17 years PCT148005 22 9

18 to 24 years PCT148006 22 9

25 to 34 years PCT148007 22 9

35 to 44 years PCT148008 22 9

45 to 54 years PCT148009 22 9

55 to 64 years PCT148010 22 9

65 to 74 years PCT148011 22 9

75 years and over PCT148012 22 9

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PCT148. POVERTY STATUS IN 1999 BY DISABILITY

STATUS BY AGE FOR THE POPULATION

5 YEARS AND OVER [43]—Con.

Total—Con.

Income in 1999 below poverty level—Con.

No disability: PCT148013 22 9

5 to 15 years PCT148014 22 9

16 to 17 years PCT148015 22 9

18 to 24 years PCT148016 22 9

25 to 34 years PCT148017 22 9

35 to 44 years PCT148018 22 9

45 to 54 years PCT148019 22 9

55 to 64 years PCT148020 22 9

65 to 74 years PCT148021 22 9

75 years and over PCT148022 22 9

Income in 1999 at or above poverty level: PCT148023 22 9

With a disability: PCT148024 22 9

5 to 15 years PCT148025 22 9

16 to 17 years PCT148026 22 9

18 to 24 years PCT148027 22 9

25 to 34 years PCT148028 22 9

35 to 44 years PCT148029 22 9

45 to 54 years PCT148030 22 9

55 to 64 years PCT148031 22 9

65 to 74 years PCT148032 22 9

75 years and over PCT148033 22 9

No disability: PCT148034 22 9

5 to 15 years PCT148035 22 9

16 to 17 years PCT148036 22 9

18 to 24 years PCT148037 22 9

25 to 34 years PCT148038 22 9

35 to 44 years PCT148039 22 9

45 to 54 years PCT148040 22 9

55 to 64 years PCT148041 22 9

65 to 74 years PCT148042 22 9

75 years and over PCT148043 22 9

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PCT149. POVERTY STATUS IN 1999 BY CITIZENSHIP

STATUS BY YEAR OF ENTRY FOR THE

FOREIGN-BORN POPULATION [27]

Universe: Foreign-born population for whom poverty

status is determined

Total: PCT149001 22 9

Income in 1999 below poverty level: PCT149002 22 9

Naturalized citizen: PCT149003 22 9

Year of entry 1995 to March 2000 PCT149004 22 9

Year of entry 1990 to 1994 PCT149005 22 9

Year of entry 1985 to 1989 PCT149006 22 9

Year of entry 1980 to 1984 PCT149007 22 9

Year of entry before 1980 PCT149008 22 9

Not a citizen: PCT149009 22 9

Year of entry 1995 to March 2000 PCT149010 22 9

Year of entry 1990 to 1994 PCT149011 22 9

Year of entry 1985 to 1989 PCT149012 22 9

Year of entry 1980 to 1984 PCT149013 22 9

Year of entry before 1980 PCT149014 22 9

Income in 1999 at or above poverty level: PCT149015 22 9

Naturalized citizen: PCT149016 22 9

Year of entry 1995 to March 2000 PCT149017 22 9

Year of entry 1990 to 1994 PCT149018 22 9

Year of entry 1985 to 1989 PCT149019 22 9

Year of entry 1980 to 1984 PCT149020 22 9

Year of entry before 1980 PCT149021 22 9

Not a citizen: PCT149022 22 9

Year of entry 1995 to March 2000 PCT149023 22 9

Year of entry 1990 to 1994 PCT149024 22 9

Year of entry 1985 to 1989 PCT149025 22 9

Year of entry 1980 to 1984 PCT149026 22 9

Year of entry before 1980 PCT149027 22 9

PCT150. POVERTY STATUS IN 1999 OF RELATED

CHILDREN UNDER 18 YEARS BY FAMILY TYPE BY

AGE [29]

Universe: Related children under 18 years

Total: PCT150001 22 9

Income in 1999 below poverty level: PCT150002 22 9

In married-couple family: PCT150003 22 9

Under 5 years PCT150004 22 9

5 years PCT150005 22 9

6 to 17 years PCT150006 22 9

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PCT150. POVERTY STATUS IN 1999 OF RELATED

CHILDREN UNDER 18 YEARS BY FAMILY TYPE BY

AGE [29]—Con.

Total—Con.

Income in 1999 below poverty level—Con.

In other family: PCT150007 22 9

Male householder, no wife present: PCT150008 22 9

Under 5 years PCT150009 22 9

5 years PCT150010 22 9

6 to 17 years PCT150011 22 9

Female householder, no husband present: PCT150012 22 9

Under 5 years PCT150013 22 9

5 years PCT150014 22 9

6 to 17 years PCT150015 22 9

Income in 1999 at or above poverty level: PCT150016 22 9

In married-couple family: PCT150017 22 9

Under 5 years PCT150018 22 9

5 years PCT150019 22 9

6 to 17 years PCT150020 22 9

In other family: PCT150021 22 9

Male householder, no wife present: PCT150022 22 9

Under 5 years PCT150023 22 9

5 years PCT150024 22 9

6 to 17 years PCT150025 22 9

Female householder, no husband present: PCT150026 22 9

Under 5 years PCT150027 22 9

5 years PCT150028 22 9

6 to 17 years PCT150029 22 9

File 23 File Linking Fields (comma delimited)

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File Identification FILEID 6 A/N

State/U.S.-Abbreviation (USPS) STUSAB 2 A

Characteristic Iteration CHARITER 3 A/N

Characteristic Iteration File Sequence Number CIFSN 2 A/N

Logical Record Number LOGRECNO 7 N

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PCT151. POVERTY STATUS IN 1999 OF UNRELATED

INDIVIDUALS BY SEX BY AGE [43]

Universe: Unrelated individuals 15 years and over

for whom poverty status is determined

Total: PCT151001 23 9

Income in 1999 below poverty level: PCT151002 23 9

Male: PCT151003 23 9

15 years PCT151004 23 9

16 and 17 years PCT151005 23 9

18 to 24 years PCT151006 23 9

25 to 34 years PCT151007 23 9

35 to 44 years PCT151008 23 9

45 to 54 years PCT151009 23 9

55 to 64 years PCT151010 23 9

65 to 74 years PCT151011 23 9

75 years and over PCT151012 23 9

Female: PCT151013 23 9

15 years PCT151014 23 9

16 and 17 years PCT151015 23 9

18 to 24 years PCT151016 23 9

25 to 34 years PCT151017 23 9

35 to 44 years PCT151018 23 9

45 to 54 years PCT151019 23 9

55 to 64 years PCT151020 23 9

65 to 74 years PCT151021 23 9

75 years and over PCT151022 23 9

Income in 1999 at or above poverty level: PCT151023 23 9

Male: PCT151024 23 9

15 years PCT151025 23 9

16 and 17 years PCT151026 23 9

18 to 24 years PCT151027 23 9

25 to 34 years PCT151028 23 9

35 to 44 years PCT151029 23 9

45 to 54 years PCT151030 23 9

55 to 64 years PCT151031 23 9

65 to 74 years PCT151032 23 9

75 years and over PCT151033 23 9

Female: PCT151034 23 9

15 years PCT151035 23 9

16 and 17 years PCT151036 23 9

18 to 24 years PCT151037 23 9

25 to 34 years PCT151038 23 9

35 to 44 years PCT151039 23 9

45 to 54 years PCT151040 23 9

55 to 64 years PCT151041 23 9

65 to 74 years PCT151042 23 9

75 years and over PCT151043 23 9

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PCT152. AGGREGATE INCOME DEFICIT IN 1999

(DOLLARS) OF UNRELATED INDIVIDUALS BY SEX

[3]

Universe: Unrelated individuals with income in 1999

below the poverty level

Total: PCT152001 23 15

Male PCT152002 23 15

Female PCT152003 23 15

PCT153. POVERTY STATUS IN 1999 OF UNRELATED

INDIVIDUALS BY SEX BY AGE BY HOUSEHOLDER

STATUS (INCLUDING LIVING ALONE) [107]

Universe: Unrelated individuals for whom poverty

status is determined

Total: PCT153001 23 9

Income in 1999 below poverty level: PCT153002 23 9

Male: PCT153003 23 9

Under 25 years: PCT153004 23 9

Nonfamily householder: PCT153005 23 9

Living alone PCT153006 23 9

Not living alone PCT153007 23 9

Other unrelated individuals PCT153008 23 9

25 to 59 years: PCT153009 23 9

Nonfamily householder: PCT153010 23 9

Living alone PCT153011 23 9

Not living alone PCT153012 23 9

Other unrelated individuals PCT153013 23 9

60 to 64 years: PCT153014 23 9

Nonfamily householder: PCT153015 23 9

Living alone PCT153016 23 9

Not living alone PCT153017 23 9

Other unrelated individuals PCT153018 23 9

65 to 74 years: PCT153019 23 9

Nonfamily householder: PCT153020 23 9

Living alone PCT153021 23 9

Not living alone PCT153022 23 9

Other unrelated individuals PCT153023 23 9

75 years and over: PCT153024 23 9

Nonfamily householder: PCT153025 23 9

Living alone PCT153026 23 9

Not living alone PCT153027 23 9

Other unrelated individuals PCT153028 23 9

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PCT153. POVERTY STATUS IN 1999 OF UNRELATED

INDIVIDUALS BY SEX BY AGE BY HOUSEHOLDER

STATUS (INCLUDING LIVING ALONE) [107]

Universe: Unrelated individuals for whom poverty

status is determined

Total: PCT153001 23 9

Income in 1999 below poverty level:

Female: PCT153029 23 9

Under 25 years: PCT153030 23 9

Nonfamily householder: PCT153031 23 9

Living alone PCT153032 23 9

Not living alone PCT153033 23 9

Other unrelated individuals PCT153034 23 9

25 to 59 years: PCT153035 23 9

Nonfamily householder: PCT153036 23 9

Living alone PCT153037 23 9

Not living alone PCT153038 23 9

Other unrelated individuals PCT153039 23 9

60 to 64 years: PCT153040 23 9

Nonfamily householder: PCT153041 23 9

Living alone PCT153042 23 9

Not living alone PCT153043 23 9

Other unrelated individuals PCT153044 23 9

65 to 74 years: PCT153045 23 9

Nonfamily householder: PCT153046 23 9

Living alone PCT153047 23 9

Not living alone PCT153048 23 9

Other unrelated individuals PCT153049 23 9

75 years and over: PCT153050 23 9

Nonfamily householder: PCT153051 23 9

Living alone PCT153052 23 9

Not living alone PCT153053 23 9

Other unrelated individuals PCT153054 23 9

Income in 1999 at or above poverty level: PCT153055 23 9

Male: PCT153056 23 9

Under 25 years: PCT153057 23 9

Nonfamily householder: PCT153058 23 9

Living alone PCT153059 23 9

Not living alone PCT153060 23 9

Other unrelated individuals PCT153061 23 9

25 to 59 years: PCT153062 23 9

Nonfamily householder: PCT153063 23 9

Living alone PCT153064 23 9

Not living alone PCT153065 23 9

Other unrelated individuals PCT153066 23 9

60 to 64 years: PCT153067 23 9

Nonfamily householder: PCT153068 23 9

Living alone PCT153069 23 9

Not living alone PCT153070 23 9

Other unrelated individuals PCT153071 23 9

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PCT153. POVERTY STATUS IN 1999 OF UNRELATED

INDIVIDUALS BY SEX BY AGE BY HOUSEHOLDER

STATUS (INCLUDING LIVING ALONE) [107]—Con.

Total—Con.

Income in 1999 at or above poverty level—Con.

Male—Con.

65 to 74 years: PCT153072 23 9

Nonfamily householder: PCT153073 23 9

Living alone PCT153074 23 9

Not living alone PCT153075 23 9

Other unrelated individuals PCT153076 23 9

75 years and over: PCT153077 23 9

Nonfamily householder: PCT153078 23 9

Living alone PCT153079 23 9

Not living alone PCT153080 23 9

Other unrelated individuals PCT153081 23 9

Female: PCT153082 23 9

Under 25 years: PCT153083 23 9

Nonfamily householder: PCT153084 23 9

Living alone PCT153085 23 9

Not living alone PCT153086 23 9

Other unrelated individuals PCT153087 23 9

25 to 59 years: PCT153088 23 9

Nonfamily householder: PCT153089 23 9

Living alone PCT153090 23 9

Not living alone PCT153091 23 9

Other unrelated individuals PCT153092 23 9

60 to 64 years: PCT153093 23 9

Nonfamily householder: PCT153094 23 9

Living alone PCT153095 23 9

Not living alone PCT153096 23 9

Other unrelated individuals PCT153097 23 9

65 to 74 years: PCT153098 23 9

Nonfamily householder: PCT153099 23 9

Living alone PCT153100 23 9

Not living alone PCT153101 23 9

Other unrelated individuals PCT153102 23 9

75 years and over: PCT153103 23 9

Nonfamily householder: PCT153104 23 9

Living alone PCT153105 23 9

Not living alone PCT153106 23 9

Other unrelated individuals PCT153107 23 9

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PCT154. POVERTY STATUS IN 1999 OF UNRELATED

INDIVIDUALS BY HOUSEHOLDER STATUS

(INCLUDING LIVING ALONE) BY EDUCATIONAL

ATTAINMENT [23]

Universe: Unrelated individuals for whom poverty

status is determined

Total: PCT154001 23 9

Income in 1999 below poverty level: PCT154002 23 9

Nonfamily householder: PCT154003 23 9

Living alone: PCT154004 23 9

High school graduate PCT154005 23 9

Not high school graduate PCT154006 23 9

Not living alone: PCT154007 23 9

High school graduate PCT154008 23 9

Not high school graduate PCT154009 23 9

Other unrelated individuals: PCT154010 23 9

High school graduate PCT154011 23 9

Not high school graduate PCT154012 23 9

Income in 1999 at or above poverty level: PCT154013 23 9

Nonfamily householder: PCT154014 23 9

Living alone: PCT154015 23 9

High school graduate PCT154016 23 9

Not high school graduate PCT154017 23 9

Not living alone: PCT154018 23 9

High school graduate PCT154019 23 9

Not high school graduate PCT154020 23 9

Other unrelated individuals: PCT154021 23 9

High school graduate PCT154022 23 9

Not high school graduate PCT154023 23 9

PCT155. POVERTY STATUS IN 1999 OF UNRELATED

INDIVIDUALS BY HOUSEHOLDER STATUS

(INCLUDING LIVING ALONE) BY SOCIAL

SECURITY INCOME BY PUBLIC ASSISTANCE

INCOME [47]

Universe: Unrelated individuals for whom poverty

status is determined

Total: PCT155001 23 9

Income in 1999 below poverty level: PCT155002 23 9

Nonfamily householder: PCT155003 23 9

Living alone: PCT155004 23 9

With Social Security income in 1999: PCT155005 23 9

With public assistance income in 1999 PCT155006 23 9

Without public assistance income in 1999 PCT155007 23 9

Without Social Security income in 1999: PCT155008 23 9

With public assistance income in 1999 PCT155009 23 9

Without public assistance income in 1999 PCT155010 23 9

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PCT155. POVERTY STATUS IN 1999 OF UNRELATED

INDIVIDUALS BY HOUSEHOLDER STATUS

(INCLUDING LIVING ALONE) BY SOCIAL

SECURITY INCOME BY PUBLIC ASSISTANCE

INCOME [47]—Con.

Total—Con.

Income in 1999 below poverty level—Con.

Nonfamily householder—Con.

Not living alone: PCT155011 23 9

With Social Security income in 1999: PCT155012 23 9

With public assistance income in 1999 PCT155013 23 9

Without public assistance income in 1999 PCT155014 23 9

Without Social Security income in 1999: PCT155015 23 9

With public assistance income in 1999 PCT155016 23 9

Without public assistance income in 1999 PCT155017 23 9

Other unrelated individuals: PCT155018 23 9

With Social Security income in 1999: PCT155019 23 9

With public assistance income in 1999 PCT155020 23 9

Without public assistance income in 1999 PCT155021 23 9

Without Social Security income in 1999: PCT155022 23 9

With public assistance income in 1999 PCT155023 23 9

Without public assistance income in 1999 PCT155024 23 9

Income in 1999 at or above poverty level: PCT155025 23 9

Nonfamily householder: PCT155026 23 9

Living alone: PCT155027 23 9

With Social Security income in 1999: PCT155028 23 9

With public assistance income in 1999 PCT155029 23 9

Without public assistance income in 1999 PCT155030 23 9

Without Social Security income in 1999: PCT155031 23 9

With public assistance income in 1999 PCT155032 23 9

Without public assistance income in 1999 PCT155033 23 9

Not living alone: PCT155034 23 9

With Social Security income in 1999: PCT155035 23 9

With public assistance income in 1999 PCT155036 23 9

Without public assistance income in 1999 PCT155037 23 9

Without Social Security income in 1999: PCT155038 23 9

With public assistance income in 1999 PCT155039 23 9

Without public assistance income in 1999 PCT155040 23 9

Other unrelated individuals: PCT155041 23 9

With Social Security income in 1999: PCT155042 23 9

With public assistance income in 1999 PCT155043 23 9

Without public assistance income in 1999 PCT155044 23 9

Without Social Security income in 1999: PCT155045 23 9

With public assistance income in 1999 PCT155046 23 9

Without public assistance income in 1999 PCT155047 23 9

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PCT156. POVERTY STATUS IN 1999 OF UNRELATED

INDIVIDUALS BY WORK EXPERIENCE BY

HOUSEHOLDER STATUS [21]

Universe: Unrelated individuals for whom poverty

status is determined

Total: PCT156001 23 9

Income in 1999 below poverty level: PCT156002 23 9

Worked full-time, year-round in 1999: PCT156003 23 9

Nonfamily householder PCT156004 23 9

Other unrelated individuals PCT156005 23 9

Worked less than full-time, year-round in 1999: PCT156006 23 9

Nonfamily householder PCT156007 23 9

Other unrelated individuals PCT156008 23 9

Did not work in 1999: PCT156009 23 9

Nonfamily householder PCT156010 23 9

Other unrelated individuals PCT156011 23 9

Income in 1999 at or above poverty level: PCT156012 23 9

Worked full-time, year-round in 1999: PCT156013 23 9

Nonfamily householder PCT156014 23 9

Other unrelated individuals PCT156015 23 9

Worked less than full-time, year-round in 1999: PCT156016 23 9

Nonfamily householder PCT156017 23 9

Other unrelated individuals PCT156018 23 9

Did not work in 1999: PCT156019 23 9

Nonfamily householder PCT156020 23 9

Other unrelated individuals PCT156021 23 9

File 24 File Linking Fields (comma delimited)

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File Identification FILEID 6 A/N

State/U.S.-Abbreviation (USPS) STUSAB 2 A

Characteristic Iteration CHARITER 3 A/N

Characteristic Iteration File Sequence Number CIFSN 2 A/N

Logical Record Number LOGRECNO 7 N

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PCT157. POVERTY STATUS IN 1999 OF FAMILIES BY

FAMILY TYPE BY PRESENCE OF RELATED

CHILDREN UNDER 18 YEARS BY AGE OF

RELATED CHILDREN [41]

Universe: Families

Total: PCT157001 24 9

Income in 1999 below poverty level: PCT157002 24 9

Married-couple family: PCT157003 24 9

With related children under 18 years: PCT157004 24 9

Under 5 years only PCT157005 24 9

Under 5 years and 5 to 17 years PCT157006 24 9

5 to 17 years only PCT157007 24 9

No related children under 18 years PCT157008 24 9

Other family: PCT157009 24 9

Male householder, no wife present: PCT157010 24 9

With related children under 18 years: PCT157011 24 9

Under 5 years only PCT157012 24 9

Under 5 years and 5 to 17 years PCT157013 24 9

5 to 17 years only PCT157014 24 9

No related children under 18 years PCT157015 24 9

Female householder, no husband present: PCT157016 24 9

With related children under 18 years: PCT157017 24 9

Under 5 years only PCT157018 24 9

Under 5 years and 5 to 17 years PCT157019 24 9

5 to 17 years only PCT157020 24 9

No related children under 18 years PCT157021 24 9

Income in 1999 at or above poverty level: PCT157022 24 9

Married-couple family: PCT157023 24 9

With related children under 18 years: PCT157024 24 9

Under 5 years only PCT157025 24 9

Under 5 years and 5 to 17 years PCT157026 24 9

5 to 17 years only PCT157027 24 9

No related children under 18 years PCT157028 24 9

Other family: PCT157029 24 9

Male householder, no wife present: PCT157030 24 9

With related children under 18 years: PCT157031 24 9

Under 5 years only PCT157032 24 9

Under 5 years and 5 to 17 years PCT157033 24 9

5 to 17 years only PCT157034 24 9

No related children under 18 years PCT157035 24 9

Female householder, no husband present: PCT157036 24 9

With related children under 18 years: PCT157037 24 9

Under 5 years only PCT157038 24 9

Under 5 years and 5 to 17 years PCT157039 24 9

5 to 17 years only PCT157040 24 9

No related children under 18 years PCT157041 24 9

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PCT158. AGGREGATE INCOME DEFICIT IN 1999

(DOLLARS) FOR FAMILIES BY FAMILY TYPE [5]

Universe: Families with income in 1999 below the

poverty level

Aggregate income deficit in 1999: PCT158001 24 15

Married-couple family PCT158002 24 15

Other family: PCT158003 24 15

Male householder, no wife present PCT158004 24 15

Female householder, no husband present PCT158005 24 15

PCT159. POVERTY STATUS IN 1999 OF FAMILIES BY

DISABILITY STATUS OF HOUSEHOLDER [7]

Universe: Families

Total: PCT159001 24 9

Income in 1999 below poverty level: PCT159002 24 9

Householder with a disability PCT159003 24 9

Householder with no disability PCT159004 24 9

Income in 1999 at or above poverty level: PCT159005 24 9

Householder with a disability PCT159006 24 9

Householder with no disability PCT159007 24 9

PCT160. POVERTY STATUS IN 1999 OF FAMILIES BY

FAMILY TYPE BY SOCIAL SECURITY INCOME BY

SUPPLEMENTAL SECURITY INCOME (SSI)

AND/OR PUBLIC ASSISTANCE INCOME [47]

Universe: Families

Total: PCT160001 24 9

Income in 1999 below poverty level: PCT160002 24 9

Married-couple family: PCT160003 24 9

With Social Security income in 1999: PCT160004 24 9

With SSI and/or public assistance income in

1999 PCT160005 24 9

Without SSI or public assistance income in

1999 PCT160006 24 9

Without Social Security income in 1999: PCT160007 24 9

With SSI and/or public assistance income in

1999 PCT160008 24 9

Without SSI or public assistance income in

1999 PCT160009 24 9

Other family: PCT160010 24 9

Male householder, no wife present: PCT160011 24 9

With Social Security income in 1999: PCT160012 24 9

With SSI and/or public assistance income

in 1999 PCT160013 24 9

Without SSI or public assistance income in

1999 PCT160014 24 9

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PCT160. POVERTY STATUS IN 1999 OF FAMILIES BY

FAMILY TYPE BY SOCIAL SECURITY INCOME BY

SUPPLEMENTAL SECURITY INCOME (SSI)

AND/OR PUBLIC ASSISTANCE INCOME [47]—Con.

Total—Con.

Other family—Con.

Male householder, no wife present—Con.

Without Social Security income in 1999: PCT160015 24 9

With SSI and/or public assistance income

in 1999 PCT160016 24 9

Without SSI or public assistance income in

1999 PCT160017 24 9

Female householder, no husband present: PCT160018 24 9

With Social Security income in 1999: PCT160019 24 9

With SSI and/or public assistance income

in 1999 PCT160020 24 9

Without SSI or public assistance income in

1999 PCT160021 24 9

Without Social Security income in 1999: PCT160022 24 9

With SSI and/or public assistance income

in 1999 PCT160023 24 9

Without SSI or public assistance income in

1999 PCT160024 24 9

Income in 1999 at or above poverty level: PCT160025 24 9

Married-couple family: PCT160026 24 9

With Social Security income in 1999: PCT160027 24 9

With SSI and/or public assistance income in

1999 PCT160028 24 9

Without SSI or public assistance income in

1999 PCT160029 24 9

Without Social Security income in 1999: PCT160030 24 9

With SSI and/or public assistance income in

1999 PCT160031 24 9

Without SSI or public assistance income in

1999 PCT160032 24 9

Other family: PCT160033 24 9

Male householder, no wife present: PCT160034 24 9

With Social Security income in 1999: PCT160035 24 9

With SSI and/or public assistance income

in 1999 PCT160036 24 9

Without SSI or public assistance income in

1999 PCT160037 24 9

Without Social Security income in 1999: PCT160038 24 9

With SSI and/or public assistance income

in 1999 PCT160039 24 9

Without SSI or public assistance income in

1999 PCT160040 24 9

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PCT160. POVERTY STATUS IN 1999 OF FAMILIES BY

FAMILY TYPE BY SOCIAL SECURITY INCOME BY

SUPPLEMENTAL SECURITY INCOME (SSI)

AND/OR PUBLIC ASSISTANCE INCOME [47]—Con.

Total—Con.

Income in 1999 at or above poverty level:

Other family—Con.

Female householder, no husband present: PCT160041 24 9

With Social Security income in 1999: PCT160042 24 9

With SSI and/or public assistance income

in 1999 PCT160043 24 9

Without SSI or public assistance income in

1999 PCT160044 24 9

Without Social Security income in 1999: PCT160045 24 9

With SSI and/or public assistance income

in 1999 PCT160046 24 9

Without SSI or public assistance income in

1999 PCT160047 24 9

PCT161. POVERTY STATUS IN 1999 OF FAMILIES BY

FAMILY TYPE BY WORK EXPERIENCE OF

HOUSEHOLDER AND SPOUSE [47]

Universe: Families

Total: PCT161001 24 9

Income in 1999 below poverty level: PCT161002 24 9

Married-couple family: PCT161003 24 9

Householder worked full-time, year-round in

1999: PCT161004 24 9

Spouse worked full-time, year-round in 1999 PCT161005 24 9

Spouse worked less than full-time,

year-round in 1999 PCT161006 24 9

Spouse did not work in 1999 PCT161007 24 9

Householder worked less than full-time,

year-round in 1999: PCT161008 24 9

Spouse worked full-time, year-round in 1999 PCT161009 24 9

Spouse worked less than full-time,

year-round in 1999 PCT161010 24 9

Spouse did not work in 1999 PCT161011 24 9

Householder did not work in 1999: PCT161012 24 9

Spouse worked full-time, year-round in 1999 PCT161013 24 9

Spouse worked less than full-time,

year-round in 1999 PCT161014 24 9

Spouse did not work in 1999 PCT161015 24 9

Other family: PCT161016 24 9

Male householder, no wife present: PCT161017 24 9

Householder worked full-time, year-round in

1999 PCT161018 24 9

Householder worked less than full-time,

year-round in 1999 PCT161019 24 9

Householder did not work in 1999 PCT161020 24 9

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PCT161. POVERTY STATUS IN 1999 OF FAMILIES BY

FAMILY TYPE BY WORK EXPERIENCE OF

HOUSEHOLDER AND SPOUSE [47]—Con.

Total—Con.

Income in 1999 below poverty level—Con.

Other family—Con.

Female householder, no husband present: PCT161021 24 9

Householder worked full-time, year-round in

1999 PCT161022 24 9

Householder worked less than full-time,

year-round in 1999 PCT161023 24 9

Householder did not work in 1999 PCT161024 24 9

Income in 1999 at or above poverty level: PCT161025 24 9

Married-couple family: PCT161026 24 9

Householder worked full-time, year-round in

1999: PCT161027 24 9

Spouse worked full-time, year-round in 1999 PCT161028 24 9

Spouse worked less than full-time,

year-round in 1999 PCT161029 24 9

Spouse did not work in 1999 PCT161030 24 9

Householder worked less than full-time,

year-round in 1999: PCT161031 24 9

Spouse worked full-time, year-round in 1999 PCT161032 24 9

Spouse worked less than full-time,

year-round in 1999 PCT161033 24 9

Spouse did not work in 1999 PCT161034 24 9

Householder did not work in 1999: PCT161035 24 9

Spouse worked full-time, year-round in 1999 PCT161036 24 9

Spouse worked less than full-time,

year-round in 1999 PCT161037 24 9

Spouse did not work in 1999 PCT161038 24 9

Other family: PCT161039 24 9

Male householder, no wife present: PCT161040 24 9

Householder worked full-time, year-round in

1999 PCT161041 24 9

Householder worked less than full-time,

year-round in 1999 PCT161042 24 9

Householder did not work in 1999 PCT161043 24 9

Female householder, no husband present: PCT161044 24 9

Householder worked full-time, year-round in

1999 PCT161045 24 9

Householder worked less than full-time,

year-round in 1999 PCT161046 24 9

Householder did not work in 1999 PCT161047 24 9

Data Dictionary 7–171

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PCT162. RATIO OF INCOME IN 1999 TO POVERTY LEVEL

OF FAMILIES BY FAMILY TYPE BY PRESENCE OF

RELATED CHILDREN UNDER 18 YEARS BY AGE

OF RELATED CHILDREN [81]

Universe: Families

Total: PCT162001 24 9

Under 1.30: PCT162002 24 9

Married-couple family: PCT162003 24 9

With related children under 18 years: PCT162004 24 9

Under 5 years only PCT162005 24 9

Under 5 years and 5 to 17 years PCT162006 24 9

5 to 17 years only PCT162007 24 9

No related children under 18 years PCT162008 24 9

Other family: PCT162009 24 9

Male householder, no wife present: PCT162010 24 9

With related children under 18 years: PCT162011 24 9

Under 5 years only PCT162012 24 9

Under 5 and 5 to 17 years PCT162013 24 9

5 to 17 years only PCT162014 24 9

No related children under 18 years PCT162015 24 9

Female householder, no husband present: PCT162016 24 9

With related children under 18 years: PCT162017 24 9

Under 5 years only PCT162018 24 9

Under 5 and 5 to 17 years PCT162019 24 9

5 to 17 years only PCT162020 24 9

No related children under 18 years PCT162021 24 9

1.30 to 1.49: PCT162022 24 9

Married-couple family: PCT162023 24 9

With related children under 18 years: PCT162024 24 9

Under 5 years only PCT162025 24 9

Under 5 years and 5 to 17 years PCT162026 24 9

5 to 17 years only PCT162027 24 9

No related children under 18 years PCT162028 24 9

Other family: PCT162029 24 9

Male householder, no wife present: PCT162030 24 9

With related children under 18 years: PCT162031 24 9

Under 5 years only PCT162032 24 9

Under 5 and 5 to 17 years PCT162033 24 9

5 to 17 years only PCT162034 24 9

No related children under 18 years PCT162035 24 9

Female householder, no husband present: PCT162036 24 9

With related children under 18 years: PCT162037 24 9

Under 5 years only PCT162038 24 9

Under 5 and 5 to 17 years PCT162039 24 9

5 to 17 years only PCT162040 24 9

No related children under 18 years PCT162041 24 9

7–172 Data Dictionary

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PCT162. RATIO OF INCOME IN 1999 TO POVERTY LEVEL

OF FAMILIES BY FAMILY TYPE BY PRESENCE OF

RELATED CHILDREN UNDER 18 YEARS BY AGE

OF RELATED CHILDREN [81]—Con.

Total—Con.

1.50 to 1.84: PCT162042 24 9

Married-couple family: PCT162043 24 9

With related children under 18 years: PCT162044 24 9

Under 5 years only PCT162045 24 9

Under 5 years and 5 to 17 years PCT162046 24 9

5 to 17 years only PCT162047 24 9

No related children under 18 years PCT162048 24 9

Other family: PCT162049 24 9

Male householder, no wife present: PCT162050 24 9

With related children under 18 years: PCT162051 24 9

Under 5 years only PCT162052 24 9

Under 5 and 5 to 17 years PCT162053 24 9

5 to 17 years only PCT162054 24 9

No related children under 18 years PCT162055 24 9

Female householder, no husband present: PCT162056 24 9

With related children under 18 years: PCT162057 24 9

Under 5 years only PCT162058 24 9

Under 5 and 5 to 17 years PCT162059 24 9

5 to 17 years only PCT162060 24 9

No related children under 18 years PCT162061 24 9

1.85 and above: PCT162062 24 9

Married-couple family: PCT162063 24 9

With related children under 18 years: PCT162064 24 9

Under 5 years only PCT162065 24 9

Under 5 years and 5 to 17 years PCT162066 24 9

5 to 17 years only PCT162067 24 9

No related children under 18 years PCT162068 24 9

Other family: PCT162069 24 9

Male householder, no wife present: PCT162070 24 9

With related children under 18 years: PCT162071 24 9

Under 5 years only PCT162072 24 9

Under 5 and 5 to 17 years PCT162073 24 9

5 to 17 years only PCT162074 24 9

No related children under 18 years PCT162075 24 9

Female householder, no husband present: PCT162076 24 9

With related children under 18 years: PCT162077 24 9

Under 5 years only PCT162078 24 9

Under 5 and 5 to 17 years PCT162079 24 9

5 to 17 years only PCT162080 24 9

No related children under 18 years PCT162081 24 9

Data Dictionary 7–173

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File 25 File Linking Fields (comma delimited)

Field name

Data

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size

Data

type

File Identification FILEID 6 A/N

State/U.S.-Abbreviation (USPS) STUSAB 2 A

Characteristic Iteration CHARITER 3 A/N

Characteristic Iteration File Sequence Number CIFSN 2 A/N

Logical Record Number LOGRECNO 7 N

PCT163. POVERTY STATUS IN 1999 OF HOUSEHOLDS BY

HOUSEHOLD TYPE BY AGE OF HOUSEHOLDER

[59]

Universe: Households

Total: PCT163001 25 9

Income in 1999 below poverty level: PCT163002 25 9

Family households: PCT163003 25 9

Married-couple family: PCT163004 25 9

Householder under 25 years PCT163005 25 9

Householder 25 to 44 years PCT163006 25 9

Householder 45 to 64 years PCT163007 25 9

Householder 65 years and over PCT163008 25 9

Other family: PCT163009 25 9

Male householder, no wife present: PCT163010 25 9

Householder under 25 years PCT163011 25 9

Householder 25 to 44 years PCT163012 25 9

Householder 45 to 64 years PCT163013 25 9

Householder 65 years and over PCT163014 25 9

Female householder, no husband present: PCT163015 25 9

Householder under 25 years PCT163016 25 9

Householder 25 to 44 years PCT163017 25 9

Householder 45 to 64 years PCT163018 25 9

Householder 65 years and over PCT163019 25 9

Nonfamily households: PCT163020 25 9

Male householder: PCT163021 25 9

Householder under 25 years PCT163022 25 9

Householder 25 to 44 years PCT163023 25 9

Householder 45 to 64 years PCT163024 25 9

Householder 65 years and over PCT163025 25 9

Female householder: PCT163026 25 9

Householder under 25 years PCT163027 25 9

Householder 25 to 44 years PCT163028 25 9

Householder 45 to 64 years PCT163029 25 9

Householder 65 years and over PCT163030 25 9

7–174 Data Dictionary

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PCT163. POVERTY STATUS IN 1999 OF HOUSEHOLDS BY

HOUSEHOLD TYPE BY AGE OF HOUSEHOLDER

[59]—Con.

Total—Con.

Income in 1999 at or above poverty level: PCT163031 25 9

Family households: PCT163032 25 9

Married-couple family: PCT163033 25 9

Householder under 25 years PCT163034 25 9

Householder 25 to 44 years PCT163035 25 9

Householder 45 to 64 years PCT163036 25 9

Householder 65 years and over PCT163037 25 9

Other family: PCT163038 25 9

Male householder, no wife present: PCT163039 25 9

Householder under 25 years PCT163040 25 9

Householder 25 to 44 years PCT163041 25 9

Householder 45 to 64 years PCT163042 25 9

Householder 65 years and over PCT163043 25 9

Female householder, no husband present: PCT163044 25 9

Householder under 25 years PCT163045 25 9

Householder 25 to 44 years PCT163046 25 9

Householder 45 to 64 years PCT163047 25 9

Householder 65 years and over PCT163048 25 9

Nonfamily households: PCT163049 25 9

Male householder: PCT163050 25 9

Householder under 25 years PCT163051 25 9

Householder 25 to 44 years PCT163052 25 9

Householder 45 to 64 years PCT163053 25 9

Householder 65 years and over PCT163054 25 9

Female householder: PCT163055 25 9

Householder under 25 years PCT163056 25 9

Householder 25 to 44 years PCT163057 25 9

Householder 45 to 64 years PCT163058 25 9

Householder 65 years and over PCT163059 25 9

PCT164. RATIO OF INCOME IN 1999 TO POVERTY LEVEL

BY HOUSEHOLD TYPE [19]

Universe: Households

Total: PCT164001 25 9

Under 1.50: PCT164002 25 9

Family households: PCT164003 25 9

Married-couple family PCT164004 25 9

Other family: PCT164005 25 9

Male householder, no wife present PCT164006 25 9

Female householder, no husband present PCT164007 25 9

Nonfamily households: PCT164008 25 9

Male householder PCT164009 25 9

Female householder PCT164010 25 9

Data Dictionary 7–175

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PCT164. RATIO OF INCOME IN 1999 TO POVERTY LEVEL

BY HOUSEHOLD TYPE [19]—Con.

Total—Con.

1.50 and over: PCT164011 25 9

Family households: PCT164012 25 9

Married-couple family PCT164013 25 9

Other family: PCT164014 25 9

Male householder, no wife present PCT164015 25 9

Female householder, no husband present PCT164016 25 9

Nonfamily households: PCT164017 25 9

Male householder PCT164018 25 9

Female householder PCT164019 25 9

PCT165. IMPUTATION OF POPULATION ITEMS [3]

Universe: Total population

Total: PCT165001 25 9

No items imputed PCT165002 25 9

One or more items imputed PCT165003 25 9

PCT166. IMPUTATION OF POPULATION ITEMS FOR THE

POPULATION IN GROUP QUARTERS [3]

Universe: Population in group quarters

Total: PCT166001 25 9

No items imputed PCT166002 25 9

One or more items imputed PCT166003 25 9

PCT167. IMPUTATION OF RELATIONSHIP [3]

Universe: Population in households

Total: PCT167001 25 9

Imputed PCT167002 25 9

Not imputed PCT167003 25 9

PCT168. IMPUTATION OF SEX [3]

Universe: Total population

Total: PCT168001 25 9

Imputed PCT168002 25 9

Not imputed PCT168003 25 9

PCT169. IMPUTATION OF AGE [3]

Universe: Total population

Total: PCT169001 25 9

Imputed PCT169002 25 9

Not imputed PCT169003 25 9

7–176 Data Dictionary

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PCT170. IMPUTATION OF GRANDPARENTS LIVING WITH

OWN GRANDCHILDREN UNDER 18 YEARS FOR

THE POPULATION 30 YEARS AND OVER IN

HOUSEHOLDS [3]

Universe: Population 30 years and over in

households

Total: PCT170001 25 9

Imputed PCT170002 25 9

Not imputed PCT170003 25 9

PCT171. IMPUTATION OF RESPONSIBILITY FOR OWN

GRANDCHILDREN UNDER 18 YEARS FOR THE

POPULATION 30 YEARS AND OVER IN

HOUSEHOLDS [5]

Universe: Population 30 years and over in

households

Total: PCT171001 25 9

Living with own grandchildren under 18 years: PCT171002 25 9

Responsibility for own grandchildren under 18

years —

Imputed PCT171003 25 9

Not imputed PCT171004 25 9

Not living with own grandchildren under 18 years PCT171005 25 9

PCT172. IMPUTATION OF LENGTH OF TIME

GRANDPARENT RESPONSIBLE FOR OWN

GRANDCHILDREN UNDER 18 YEARS FOR THE

POPULATION 30 YEARS AND OVER IN

HOUSEHOLDS [7]

Universe: Population 30 years and over in

households

Total: PCT172001 25 9

Living with own grandchildren under 18 years: PCT172002 25 9

Grandparent responsible for own grandchildren

under 18 years: PCT172003 25 9

Length of time —

Imputed PCT172004 25 9

Not imputed PCT172005 25 9

Grandparent not responsible for own

grandchildren under 18 years PCT172006 25 9

Not living with own grandchildren under 18 years PCT172007 25 9

PCT173. IMPUTATION OF MARITAL STATUS FOR THE

POPULATION 15 YEARS AND OVER [3]

Universe: Population 15 years and over

Total: PCT173001 25 9

Imputed PCT173002 25 9

Not imputed PCT173003 25 9

Data Dictionary 7–177

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PCT174. IMPUTATION OF PLACE OF BIRTH [3]

Universe: Total population

Total: PCT174001 25 9

Imputed PCT174002 25 9

Not imputed PCT174003 25 9

PCT175. IMPUTATION OF CITIZENSHIP STATUS [3]

Universe: Total population

Total: PCT175001 25 9

Imputed PCT175002 25 9

Not imputed PCT175003 25 9

PCT176. IMPUTATION OF YEAR OF ENTRY FOR THE

FOREIGN-BORN POPULATION [3]

Universe: Foreign-born population

Total: PCT176001 25 9

Imputed PCT176002 25 9

Not imputed PCT176003 25 9

PCT177. IMPUTATION OF LANGUAGE STATUS FOR THE

POPULATION 5 YEARS AND OVER [3]

Universe: Population 5 years and over

Total: PCT177001 25 9

Imputed PCT177002 25 9

Not imputed PCT177003 25 9

PCT178. IMPUTATION OF LANGUAGE SPOKEN AT HOME

FOR THE POPULATION 5 YEARS AND OVER [7]

Universe: Population 5 years and over

Total: PCT178001 25 9

Speak only English PCT178002 25 9

Speak other languages: PCT178003 25 9

Specific language spoken —

Imputed: PCT178004 25 9

Language status imputed PCT178005 25 9

Language status not imputed PCT178006 25 9

Not imputed PCT178007 25 9

PCT179. IMPUTATION OF ABILITY TO SPEAK ENGLISH

FOR THE POPULATION 5 YEARS AND OVER [5]

Universe: Population 5 years and over

Total: PCT179001 25 9

Speak only English PCT179002 25 9

Speak other languages: PCT179003 25 9

Ability to speak English —

Imputed PCT179004 25 9

Not imputed PCT179005 25 9

7–178 Data Dictionary

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PCT180. IMPUTATION OF SCHOOL ENROLLMENT AND

TYPE OF SCHOOL FOR THE POPULATION

3 YEARS AND OVER [3]

Universe: Population 3 years and over

Total: PCT180001 25 9

Imputed PCT180002 25 9

Not imputed PCT180003 25 9

PCT181. IMPUTATION OF GRADE ENROLLED FOR THE

POPULATION 3 YEARS AND OVER ENROLLED IN

SCHOOL [3]

Universe: Population 3 years and over enrolled in

school

Total: PCT181001 25 9

Imputed PCT181002 25 9

Not imputed PCT181003 25 9

PCT182. IMPUTATION OF EDUCATIONAL ATTAINMENT

FOR THE POPULATION 25 YEARS AND OVER [3]

Universe: Population 25 years and over

Total: PCT182001 25 9

Imputed PCT182002 25 9

Not imputed PCT182003 25 9

PCT183. IMPUTATION OF MOBILITY STATUS FOR THE

POPULATION 5 YEARS AND OVER [3]

Universe: Population 5 years and over

Total: PCT183001 25 9

Imputed PCT183002 25 9

Not imputed PCT183003 25 9

PCT184. IMPUTATION OF RESIDENCE 5 YEARS AGO FOR

THE POPULATION 5 YEARS AND OVER [7]

Universe: Population 5 years and over

Total: PCT184001 25 9

Different house: PCT184002 25 9

Imputed: PCT184003 25 9

One or more but not all geographic parts

imputed PCT184004 25 9

All geographic parts imputed PCT184005 25 9

Not imputed PCT184006 25 9

Same house PCT184007 25 9

PCT185. IMPUTATION OF VETERAN STATUS FOR THE

POPULATION 18 YEARS AND OVER [3]

Universe: Population 18 years and over

Total: PCT185001 25 9

Imputed PCT185002 25 9

Not imputed PCT185003 25 9

Data Dictionary 7–179

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PCT186. IMPUTATION OF PERIOD OF MILITARY SERVICE

FOR CIVILIAN VETERANS 18 YEARS AND OVER

[3]

Universe: Civilian veterans 18 years and over

Total: PCT186001 25 9

Imputed PCT186002 25 9

Not imputed PCT186003 25 9

PCT187. IMPUTATION OF LENGTH OF MILITARY SERVICE

FOR CIVILIAN VETERANS 18 YEARS AND OVER

[3]

Universe: Civilian veterans 18 years and over

Total: PCT187001 25 9

Imputed PCT187002 25 9

Not imputed PCT187003 25 9

PCT188. IMPUTATION OF DISABILITY ITEMS FOR THE

CIVILIAN NONINSTITUTIONALIZED POPULATION

5 YEARS AND OVER [3]

Universe: Civilian noninstitutionalized population

5 years and over

Total: PCT188001 25 9

No disability items imputed PCT188002 25 9

One or more disability items imputed PCT188003 25 9

PCT189. IMPUTATION OF SENSORY DISABILITY FOR THE

CIVILIAN NONINSTITUTIONALIZED POPULATION

5 YEARS AND OVER [3]

Universe: Civilian noninstitutionalized population

5 years and over

Total: PCT189001 25 9

Imputed PCT189002 25 9

Not imputed PCT189003 25 9

PCT190. IMPUTATION OF PHYSICAL DISABILITY FOR THE

CIVILIAN NONINSTITUTIONALIZED POPULATION

5 YEARS AND OVER [3]

Universe: Civilian noninstitutionalized population

5 years and over

Total: PCT190001 25 9

Imputed PCT190002 25 9

Not imputed PCT190003 25 9

PCT191. IMPUTATION OF MENTAL DISABILITY FOR THE

CIVILIAN NONINSTITUTIONALIZED POPULATION

5 YEARS AND OVER [3]

Universe: Civilian noninstitutionalized population

5 years and over

Total: PCT191001 25 9

Imputed PCT191002 25 9

Not imputed PCT191003 25 9

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PCT192. IMPUTATION OF SELF-CARE DISABILITY FOR

THE CIVILIAN NONINSTITUTIONALIZED

POPULATION 5 YEARS AND OVER [3]

Universe: Civilian noninstitutionalized population

5 years and over

Total: PCT192001 25 9

Imputed PCT192002 25 9

Not imputed PCT192003 25 9

PCT193. IMPUTATION OF GO-OUTSIDE-HOME DISABILITY

FOR THE CIVILIAN NONINSTITUTIONALIZED

POPULATION 16 YEARS AND OVER [3]

Universe: Civilian noninstitutionalized population

16 years and over

Total: PCT193001 25 9

Imputed PCT193002 25 9

Not imputed PCT193003 25 9

PCT194. IMPUTATION OF EMPLOYMENT DISABILITY FOR

THE CIVILIAN NONINSTITUTIONALIZED

POPULATION 16 TO 64 YEARS [3]

Universe: Civilian noninstitutionalized population

16 to 64 years

Total: PCT194001 25 9

Imputed PCT194002 25 9

Not imputed PCT194003 25 9

PCT195. IMPUTATION OF PLACE OF WORK FOR WORKERS

16 YEARS AND OVER [5]

Universe: Workers 16 years and over

Total: PCT195001 25 9

Imputed: PCT195002 25 9

One or more but not all geographic parts

imputed PCT195003 25 9

All geographic parts imputed PCT195004 25 9

Not imputed PCT195005 25 9

PCT196. IMPUTATION OF MEANS OF TRANSPORTATION

TO WORK FOR WORKERS 16 YEARS AND OVER

[3]

Universe: Workers 16 years and over

Total: PCT196001 25 9

Imputed PCT196002 25 9

Not imputed PCT196003 25 9

Data Dictionary 7–181

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PCT197. IMPUTATION OF PRIVATE VEHICLE OCCUPANCY

FOR WORKERS 16 YEARS AND OVER

Universe: Workers 16 years and over

Total: PCT197001 25 9

Car, truck, or van: PCT197002 25 9

Imputed PCT197003 25 9

Not imputed PCT197004 25 9

Other means (including those who worked at

home) PCT197005 25 9

PCT198. IMPUTATION OF TIME LEAVING HOME TO GO TO

WORK FOR WORKERS 16 YEARS AND OVER [5]

Universe: Workers 16 years and over

Total: PCT198001 25 9

Did not work at home: PCT198002 25 9

Time leaving home to go to work —

Imputed PCT198003 25 9

Not imputed PCT198004 25 9

Worked at home PCT198005 25 9

PCT199. IMPUTATION OF TRAVEL TIME TO WORK FOR

WORKERS 16 YEARS AND OVER [5]

Universe: Workers 16 years and over

Total: PCT199001 25 9

Did not work at home: PCT199002 25 9

Travel time to work —

Imputed PCT199003 25 9

Not imputed PCT199004 25 9

Worked at home PCT199005 25 9

PCT200. IMPUTATION OF EMPLOYMENT STATUS FOR THE

POPULATION 16 YEARS AND OVER [3]

Universe: Population 16 years and over

Total: PCT200001 25 9

Imputed PCT200002 25 9

Not imputed PCT200003 25 9

PCT201. IMPUTATION OF WORK STATUS IN 1999 FOR

THE POPULATION 16 YEARS AND OVER [3]

Universe: Population 16 years and over

Total: PCT201001 25 9

Imputed PCT201002 25 9

Not imputed PCT201003 25 9

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PCT202. IMPUTATION OF USUAL HOURS WORKED PER

WEEK IN 1999 FOR THE POPULATION 16 YEARS

AND OVER [5]

Universe: Population 16 years and over

Total: PCT202001 25 9

Worked in 1999: PCT202002 25 9

Usual hours worked per week in 1999 —

Imputed PCT202003 25 9

Not imputed PCT202004 25 9

Did not work in 1999 PCT202005 25 9

PCT203. IMPUTATION OF WEEKS WORKED IN 1999 FOR

THE POPULATION 16 YEARS AND OVER [5]

Universe: Population 16 years and over

Total: PCT203001 25 9

Worked in 1999: PCT203002 25 9

Weeks worked in 1999 —

Imputed PCT203003 25 9

Not imputed PCT203004 25 9

Did not work in 1999 PCT203005 25 9

PCT204. IMPUTATION OF INDUSTRY FOR THE EMPLOYED

CIVILIAN POPULATION 16 YEARS AND OVER [3]

Universe: Employed civilian population 16 years and

over

Total: PCT204001 25 9

Imputed PCT204002 25 9

Not imputed PCT204003 25 9

PCT205. IMPUTATION OF OCCUPATION FOR THE

EMPLOYED CIVILIAN POPULATION 16 YEARS

AND OVER [3]

Universe: Employed civilian population 16 years and

over

Total: PCT205001 25 9

Imputed PCT205002 25 9

Not imputed PCT205003 25 9

PCT206. IMPUTATION OF CLASS OF WORKER FOR THE

EMPLOYED CIVILIAN POPULATION 16 YEARS

AND OVER [3]

Universe: Employed civilian population 16 years and

over

Total: PCT206001 25 9

Imputed PCT206002 25 9

Not imputed PCT206003 25 9

Data Dictionary 7–183

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PCT207. IMPUTATION OF INDIVIDUALS’ INCOME IN 1999

FOR THE POPULATION 15 YEARS AND OVER —

PERCENT OF INCOME IMPUTED [7]

Universe: Population 15 years and over

Percent of income imputed —

No income imputed PCT207001 25 9

Dollar value of zero imputed PCT207002 25 9

More than 0 to less than 10 percent of total

income for individual imputed PCT207003 25 9

10 to less than 25 percent of total income for

individual imputed PCT207004 25 9

25 to less than 50 percent of total income for

individual imputed PCT207005 25 9

50 to less than 100 percent of total income for

individual imputed PCT207006 25 9

100 percent of total income for individual imputed PCT207007 25 9

PCT208. IMPUTATION OF EARNINGS IN 1999 FOR THE

POPULATION 16 YEARS AND OVER — PERCENT

OF EARNINGS IMPUTED [7]

Universe: Population 16 years and over

Percent of earnings imputed —

No earnings imputed PCT208001 25 9

Dollar value of zero imputed PCT208002 25 9

More than 0 to less than 10 percent of total

earnings for individual imputed PCT208003 25 9

10 to less than 25 percent of total earnings for

individual imputed PCT208004 25 9

25 to less than 50 percent of total earnings for

individual imputed PCT208005 25 9

50 to less than 100 percent of total earnings for

individual imputed PCT208006 25 9

100 percent of total earnings for individual

imputed PCT208007 25 9

File 26 File Linking Fields (comma delimited)

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Data

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reference

name

Max

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Data

type

File Identification FILEID 6 A/N

State/U.S.-Abbreviation (USPS) STUSAB 2 A

Characteristic Iteration CHARITER 3 A/N

Characteristic Iteration File Sequence Number CIFSN 2 A/N

Logical Record Number LOGRECNO 7 N

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PCT209. IMPUTATION OF HOUSEHOLD INCOME IN 1999

— PERCENT OF INCOME IMPUTED [7]

Universe: Households

Percent of income imputed —

No income imputed PCT209001 26 9

Dollar value of zero imputed PCT209002 26 9

More than 0 to less than 10 percent of total

income for household imputed PCT209003 26 9

10 to less than 25 percent of total income for

household imputed PCT209004 26 9

25 to less than 50 percent of total income for

household imputed PCT209005 26 9

50 to less than 100 percent of total income for

household imputed PCT209006 26 9

100 percent of total income for household imputed PCT209007 26 9

PCT210. IMPUTATION OF FAMILY INCOME IN 1999 —

PERCENT OF INCOME IMPUTED [7]

Universe: Families

Percent of income imputed —

No income imputed PCT210001 26 9

Dollar value of zero imputed PCT210002 26 9

More than 0 to less than 10 percent of total

income for family imputed PCT210003 26 9

10 to less than 25 percent of total income for

family imputed PCT210004 26 9

25 to less than 50 percent of total income for

family imputed PCT210005 26 9

50 to less than 100 percent of total income for

family imputed PCT210006 26 9

100 percent of total income for family imputed PCT210007 26 9

PCT211. IMPUTATION OF NONFAMILY HOUSEHOLD

INCOME IN 1999 — PERCENT OF INCOME

IMPUTED [7]

Universe: Nonfamily households

Percent of income imputed —

No income imputed PCT211001 26 9

Dollar value of zero imputed PCT211002 26 9

More than 0 to less than 10 percent of total

income for nonfamily household imputed PCT211003 26 9

10 to less than 25 percent of total income for

nonfamily household imputed PCT211004 26 9

25 to less than 50 percent of total income for

nnonfamily household imputed PCT211005 26 9

50 to less than 100 percent of total income for

nonfamily household imputed PCT211006 26 9

100 percent of total income for nonfamily

household imputed PCT211007 26 9

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PCT212. POVERTY STATUS IN 1999 OF UNRELATED

INDIVIDUALS BY IMPUTATION OF INDIVIDUALS’

INCOME — PERCENT OF INCOME IMPUTED [14]

Universe: Unrelated individuals for whom poverty

status is determined

Percent of income imputed for individuals with

income in 1999 below poverty level —

No income imputed PCT212001 26 9

Dollar value of zero imputed PCT212002 26 9

More than 0 to less than 10 percent of total

income for individual imputed PCT212003 26 9

10 to less than 25 percent of total income for

individual imputed PCT212004 26 9

25 to less than 50 percent of total income for

individual imputed PCT212005 26 9

50 to less than 100 percent of total income for

individual imputed PCT212006 26 9

100 percent of total income for individual imputed PCT212007 26 9

Percent of income imputed for individuals with

income in 1999 at or above poverty level —

No income imputed PCT212008 26 9

Dollar value of zero imputed PCT212009 26 9

More than 0 to less than 10 percent of total

income for individual imputed PCT212010 26 9

10 to less than 25 percent of total income for

individual imputed PCT212011 26 9

25 to less than 50 percent of total income for

individual imputed PCT212012 26 9

50 to less than 100 percent of total income for

individual imputed PCT212013 26 9

100 percent of total income for individual imputed PCT212014 26 9

PCT213. POVERTY STATUS IN 1999 OF INDIVIDUALS IN

FAMILIES BY IMPUTATION OF FAMILY INCOME —

PERCENT OF INCOME IMPUTED [14]

Universe: Population in families

Percent of family income imputed for people living in

families with income in 1999 below poverty level —

No income imputed PCT213001 26 9

Dollar value of zero imputed PCT213002 26 9

More than 0 to less than 10 percent of total

income for family imputed PCT213003 26 9

10 to less than 25 percent of total income for

family imputed PCT213004 26 9

25 to less than 50 percent of total income for

family imputed PCT213005 26 9

50 to less than 100 percent of total income for

family imputed PCT213006 26 9

100 percent of total income for family imputed PCT213007 26 9

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PCT213. POVERTY STATUS IN 1999 OF INDIVIDUALS IN

FAMILIES BY IMPUTATION OF FAMILY INCOME —

PERCENT OF INCOME IMPUTED [14]—Con.

Percent of family income imputed for people living in

families with income in 1999 at or above poverty

level —

No income imputed PCT213008 26 9

Dollar value of zero imputed PCT213009 26 9

More than 0 to less than 10 percent of total

income for family imputed PCT213010 26 9

10 to less than 25 percent of total income for

family imputed PCT213011 26 9

25 to less than 50 percent of total income for

family imputed PCT213012 26 9

50 to less than 100 percent of total income for

family imputed PCT213013 26 9

100 percent of total income for family imputed PCT213014 26 9

File 27 File Linking Fields (comma delimited)

Field name

Data

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Data

type

File Identification FILEID 6 A/N

State/U.S.-Abbreviation (USPS) STUSAB 2 A

Characteristic Iteration CHARITER 3 A/N

Characteristic Iteration File Sequence Number CIFSN 2 A/N

Logical Record Number LOGRECNO 7 N

HCT1. URBAN AND RURAL [7]

Universe: Occupied housing units

Total: HCT001001 27 9

Urban: HCT001002 27 9

Inside urbanized areas HCT001003 27 9

Inside urban clusters HCT001004 27 9

Rural: HCT001005 27 9

Farm HCT001006 27 9

Nonfarm HCT001007 27 9

HCT2. TENURE [3]

Universe: Occupied housing units

Total: HCT002001 27 9

Owner occupied HCT002002 27 9

Renter occupied HCT002003 27 9

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HCT3. TENURE BY AGE OF HOUSEHOLDER [21]

Universe: Occupied housing units

Total: HCT003001 27 9

Owner occupied: HCT003002 27 9

Householder 15 to 24 years HCT003003 27 9

Householder 25 to 34 years HCT003004 27 9

Householder 35 to 44 years HCT003005 27 9

Householder 45 to 54 years HCT003006 27 9

Householder 55 to 59 years HCT003007 27 9

Householder 60 to 64 years HCT003008 27 9

Householder 65 to 74 years HCT003009 27 9

Householder 75 to 84 years HCT003010 27 9

Householder 85 years and over HCT003011 27 9

Renter occupied: HCT003012 27 9

Householder 15 to 24 years HCT003013 27 9

Householder 25 to 34 years HCT003014 27 9

Householder 35 to 44 years HCT003015 27 9

Householder 45 to 54 years HCT003016 27 9

Householder 55 to 59 years HCT003017 27 9

Householder 60 to 64 years HCT003018 27 9

Householder 65 to 74 years HCT003019 27 9

Householder 75 to 84 years HCT003020 27 9

Householder 85 years and over HCT003021 27 9

HCT4. TOTAL POPULATION IN OCCUPIED HOUSING

UNITS BY TENURE [3]

Universe: Population in occupied housing units

Total population in occupied housing units: HCT004001 27 9

Owner occupied HCT004002 27 9

Renter occupied HCT004003 27 9

HCT5. HOUSEHOLD SIZE [8]

Universe: Occupied housing units

Total: HCT005001 27 9

1-person household HCT005002 27 9

2-person household HCT005003 27 9

3-person household HCT005004 27 9

4-person household HCT005005 27 9

5-person household HCT005006 27 9

6-person household HCT005007 27 9

7-or-more-person household HCT005008 27 9

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HCT6. TENURE BY HOUSEHOLD SIZE [17]

Universe: Occupied housing units

Total: HCT006001 27 9

Owner occupied: HCT006002 27 9

1-person household HCT006003 27 9

2-person household HCT006004 27 9

3-person household HCT006005 27 9

4-person household HCT006006 27 9

5-person household HCT006007 27 9

6-person household HCT006008 27 9

7-or-more-person household HCT006009 27 9

Renter occupied: HCT006010 27 9

1-person household HCT006011 27 9

2-person household HCT006012 27 9

3-person household HCT006013 27 9

4-person household HCT006014 27 9

5-person household HCT006015 27 9

6-person household HCT006016 27 9

7-or-more-person household HCT006017 27 9

HCT7. AVERAGE HOUSEHOLD SIZE OF OCCUPIED

HOUSING UNITS BY TENURE [3]

(2 expressed decimals)

Universe: Occupied housing units

Average household size —

Total HCT007001 27 9

Owner occupied HCT007002 27 9

Renter occupied HCT007003 27 9

HCT8. TENURE BY HOUSEHOLD TYPE AND PRESENCE

AND AGE OF OWN CHILDREN [53]

Universe: Occupied housing units

Total: HCT008001 27 9

Owner occupied: HCT008002 27 9

Family households: HCT008003 27 9

Married-couple family: HCT008004 27 9

With own children under 18 years: HCT008005 27 9

Under 6 years only HCT008006 27 9

Under 6 and 6 to 17 years HCT008007 27 9

6 to 17 years only HCT008008 27 9

No own children under 18 years HCT008009 27 9

Other family: HCT008010 27 9

Male householder, no wife present: HCT008011 27 9

With own children under 18 years: HCT008012 27 9

Under 6 years only HCT008013 27 9

Under 6 and 6 to 17 years HCT008014 27 9

6 to 17 years only HCT008015 27 9

No own children under 18 years HCT008016 27 9

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HCT8. TENURE BY HOUSEHOLD TYPE AND PRESENCE

AND AGE OF OWN CHILDREN [53]—Con.

Total—Con.

Owner occupied—Con.

Family households—Con.

Female householder, no husband present: HCT008017 27 9

With own children under 18 years: HCT008018 27 9

Under 6 years only HCT008019 27 9

Under 6 and 6 to 17 years HCT008020 27 9

6 to 17 years only HCT008021 27 9

No own children under 18 years HCT008022 27 9

Nonfamily households: HCT008023 27 9

Householder living alone: HCT008024 27 9

Male householder HCT008025 27 9

Female householder HCT008026 27 9

Householder not living alone HCT008027 27 9

Renter occupied: HCT008028 27 9

Family households: HCT008029 27 9

Married-couple family: HCT008030 27 9

With own children under 18 years: HCT008031 27 9

Under 6 years only HCT008032 27 9

Under 6 and 6 to 17 years HCT008033 27 9

6 to 17 years only HCT008034 27 9

No own children under 18 years HCT008035 27 9

Other family: HCT008036 27 9

Male householder, no wife present: HCT008037 27 9

With own children under 18 years: HCT008038 27 9

Under 6 years only HCT008039 27 9

Under 6 and 6 to 17 years HCT008040 27 9

6 to 17 years only HCT008041 27 9

No own children under 18 years HCT008042 27 9

Female householder, no husband present: HCT008043 27 9

With own children under 18 years: HCT008044 27 9

Under 6 years only HCT008045 27 9

Under 6 and 6 to 17 years HCT008046 27 9

6 to 17 years only HCT008047 27 9

No own children under 18 years HCT008048 27 9

Nonfamily households: HCT008049 27 9

Householder living alone: HCT008050 27 9

Male householder HCT008051 27 9

Female householder HCT008052 27 9

Householder not living alone HCT008053 27 9

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HCT9. TENURE BY HOUSEHOLD TYPE (INCLUDING

LIVING ALONE) BY AGE OF HOUSEHOLDER [125]

Universe: Occupied housing units

Total: HCT009001 27 9

Owner occupied: HCT009002 27 9

Family households: HCT009003 27 9

Married-couple family: HCT009004 27 9

Householder 15 to 24 years HCT009005 27 9

Householder 25 to 34 years HCT009006 27 9

Householder 35 to 44 years HCT009007 27 9

Householder 45 to 54 years HCT009008 27 9

Householder 55 to 64 years HCT009009 27 9

Householder 65 to 74 years HCT009010 27 9

Householder 75 years and over HCT009011 27 9

Other family: HCT009012 27 9

Male householder, no wife present: HCT009013 27 9

Householder 15 to 24 years HCT009014 27 9

Householder 25 to 34 years HCT009015 27 9

Householder 35 to 44 years HCT009016 27 9

Householder 45 to 54 years HCT009017 27 9

Householder 55 to 64 years HCT009018 27 9

Householder 65 to 74 years HCT009019 27 9

Householder 75 years and over HCT009020 27 9

Female householder, no husband present: HCT009021 27 9

Householder 15 to 24 years HCT009022 27 9

Householder 25 to 34 years HCT009023 27 9

Householder 35 to 44 years HCT009024 27 9

Householder 45 to 54 years HCT009025 27 9

Householder 55 to 64 years HCT009026 27 9

Householder 65 to 74 years HCT009027 27 9

Householder 75 years and over HCT009028 27 9

Nonfamily households: HCT009029 27 9

Male householder: HCT009030 27 9

Living alone: HCT009031 27 9

Householder 15 to 24 years HCT009032 27 9

Householder 25 to 34 years HCT009033 27 9

Householder 35 to 44 years HCT009034 27 9

Householder 45 to 54 years HCT009035 27 9

Householder 55 to 64 years HCT009036 27 9

Householder 65 to 74 years HCT009037 27 9

Householder 75 years and over HCT009038 27 9

Not living alone: HCT009039 27 9

Householder 15 to 24 years HCT009040 27 9

Householder 25 to 34 years HCT009041 27 9

Householder 35 to 44 years HCT009042 27 9

Householder 45 to 54 years HCT009043 27 9

Householder 55 to 64 years HCT009044 27 9

Householder 65 to 74 years HCT009045 27 9

Householder 75 years and over HCT009046 27 9

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HCT9. TENURE BY HOUSEHOLD TYPE (INCLUDING

LIVING ALONE) BY AGE OF HOUSEHOLDER

[125]—Con.

Total—Con.

Owner occupied—Con.

Nonfamily households—Con.

Female householder: HCT009047 27 9

Living alone: HCT009048 27 9

Householder 15 to 24 years HCT009049 27 9

Householder 25 to 34 years HCT009050 27 9

Householder 35 to 44 years HCT009051 27 9

Householder 45 to 54 years HCT009052 27 9

Householder 55 to 64 years HCT009053 27 9

Householder 65 to 74 years HCT009054 27 9

Householder 75 years and over HCT009055 27 9

Not living alone: HCT009056 27 9

Householder 15 to 24 years HCT009057 27 9

Householder 25 to 34 years HCT009058 27 9

Householder 35 to 44 years HCT009059 27 9

Householder 45 to 54 years HCT009060 27 9

Householder 55 to 64 years HCT009061 27 9

Householder 65 to 74 years HCT009062 27 9

Householder 75 years and over HCT009063 27 9

Renter occupied: HCT009064 27 9

Family households: HCT009065 27 9

Married-couple family: HCT009066 27 9

Householder 15 to 24 years HCT009067 27 9

Householder 25 to 34 years HCT009068 27 9

Householder 35 to 44 years HCT009069 27 9

Householder 45 to 54 years HCT009070 27 9

Householder 55 to 64 years HCT009071 27 9

Householder 65 to 74 years HCT009072 27 9

Householder 75 years and over HCT009073 27 9

Other family: HCT009074 27 9

Male householder, no wife present: HCT009075 27 9

Householder 15 to 24 years HCT009076 27 9

Householder 25 to 34 years HCT009077 27 9

Householder 35 to 44 years HCT009078 27 9

Householder 45 to 54 years HCT009079 27 9

Householder 55 to 64 years HCT009080 27 9

Householder 65 to 74 years HCT009081 27 9

Householder 75 years and over HCT009082 27 9

Female householder, no husband present: HCT009083 27 9

Householder 15 to 24 years HCT009084 27 9

Householder 25 to 34 years HCT009085 27 9

Householder 35 to 44 years HCT009086 27 9

Householder 45 to 54 years HCT009087 27 9

Householder 55 to 64 years HCT009088 27 9

Householder 65 to 74 years HCT009089 27 9

Householder 75 years and over HCT009090 27 9

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HCT9. TENURE BY HOUSEHOLD TYPE (INCLUDING

LIVING ALONE) BY AGE OF HOUSEHOLDER

[125]—Con.

Total—Con.

Renter occupied—Con.

Nonfamily households HCT009091 27 9

Male householder: HCT009092 27 9

Living alone: HCT009093 27 9

Householder 15 to 24 years HCT009094 27 9

Householder 25 to 34 years HCT009095 27 9

Householder 35 to 44 years HCT009096 27 9

Householder 45 to 54 years HCT009097 27 9

Householder 55 to 64 years HCT009098 27 9

Householder 65 to 74 years HCT009099 27 9

Householder 75 years and over HCT009100 27 9

Not living alone: HCT009101 27 9

Householder 15 to 24 years HCT009102 27 9

Householder 25 to 34 years HCT009103 27 9

Householder 35 to 44 years HCT009104 27 9

Householder 45 to 54 years HCT009105 27 9

Householder 55 to 64 years HCT009106 27 9

Householder 65 to 74 years HCT009107 27 9

Householder 75 years and over HCT009108 27 9

Female householder: HCT009109 27 9

Living alone: HCT009110 27 9

Householder 15 to 24 years HCT009111 27 9

Householder 25 to 34 years HCT009112 27 9

Householder 35 to 44 years HCT009113 27 9

Householder 45 to 54 years HCT009114 27 9

Householder 55 to 64 years HCT009115 27 9

Householder 65 to 74 years HCT009116 27 9

Householder 75 years and over HCT009117 27 9

Not living alone: HCT009118 27 9

Householder 15 to 24 years HCT009119 27 9

Householder 25 to 34 years HCT009120 27 9

Householder 35 to 44 years HCT009121 27 9

Householder 45 to 54 years HCT009122 27 9

Householder 55 to 64 years HCT009123 27 9

Householder 65 to 74 years HCT009124 27 9

Householder 75 years and over HCT009125 27 9

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File 28 File Linking Fields (comma delimited)

Field name

Data

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Data

type

File Identification FILEID 6 A/N

State/U.S.-Abbreviation (USPS) STUSAB 2 A

Characteristic Iteration CHARITER 3 A/N

Characteristic Iteration File Sequence Number CIFSN 2 A/N

Logical Record Number LOGRECNO 7 N

HCT10. TENURE BY HOUSEHOLD SIZE BY AGE OF

HOUSEHOLDER [35]

Universe: Occupied housing units

Total: HCT010001 28 9

Owner occupied: HCT010002 28 9

1-person household: HCT010003 28 9

Householder 15 to 24 years HCT010004 28 9

Householder 25 to 34 years HCT010005 28 9

Householder 35 to 44 years HCT010006 28 9

Householder 45 to 54 years HCT010007 28 9

Householder 55 to 64 years HCT010008 28 9

Householder 65 to 74 years HCT010009 28 9

Householder 75 years and over HCT010010 28 9

2-or-more person household: HCT010011 28 9

Householder 15 to 24 years HCT010012 28 9

Householder 25 to 34 years HCT010013 28 9

Householder 35 to 44 years HCT010014 28 9

Householder 45 to 54 years HCT010015 28 9

Householder 55 to 64 years HCT010016 28 9

Householder 65 to 74 years HCT010017 28 9

Householder 75 years and over HCT010018 28 9

Renter occupied: HCT010019 28 9

1-person household: HCT010020 28 9

Householder 15 to 24 years HCT010021 28 9

Householder 25 to 34 years HCT010022 28 9

Householder 35 to 44 years HCT010023 28 9

Householder 45 to 54 years HCT010024 28 9

Householder 55 to 64 years HCT010025 28 9

Householder 65 to 74 years HCT010026 28 9

Householder 75 years and over HCT010027 28 9

2-or-more person household: HCT010028 28 9

Householder 15 to 24 years HCT010029 28 9

Householder 25 to 34 years HCT010030 28 9

Householder 35 to 44 years HCT010031 28 9

Householder 45 to 54 years HCT010032 28 9

Householder 55 to 64 years HCT010033 28 9

Householder 65 to 74 years HCT010034 28 9

Householder 75 years and over HCT010035 28 9

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HCT11. TENURE BY OCCUPANTS PER ROOM [13]

Universe: Occupied housing units

Total: HCT011001 28 9

Owner occupied: HCT011002 28 9

0.50 or less occupants per room HCT011003 28 9

0.51 to 1.00 occupants per room HCT011004 28 9

1.01 to 1.50 occupants per room HCT011005 28 9

1.51 to 2.00 occupants per room HCT011006 28 9

2.01 or more occupants per room HCT011007 28 9

Renter occupied: HCT011008 28 9

0.50 or less occupants per room HCT011009 28 9

0.51 to 1.00 occupants per room HCT011010 28 9

1.01 to 1.50 occupants per room HCT011011 28 9

1.51 to 2.00 occupants per room HCT011012 28 9

2.01 or more occupants per room HCT011013 28 9

HCT12. TENURE BY AGE OF HOUSEHOLDER BY

OCCUPANTS PER ROOM [59]

Universe: Occupied housing units

Total: HCT012001 28 9

Owner occupied: HCT012002 28 9

Householder 15 to 24 years: HCT012003 28 9

1.00 or less occupants per room HCT012004 28 9

1.01 to 1.50 occupants per room HCT012005 28 9

1.51 or more occupants per room HCT012006 28 9

Householder 25 to 34 years: HCT012007 28 9

1.00 or less occupants per room HCT012008 28 9

1.01 to 1.50 occupants per room HCT012009 28 9

1.51 or more occupants per room HCT012010 28 9

Householder 35 to 44 years: HCT012011 28 9

1.00 or less occupants per room HCT012012 28 9

1.01 to 1.50 occupants per room HCT012013 28 9

1.51 or more occupants per room HCT012014 28 9

Householder 45 to 54 years: HCT012015 28 9

1.00 or less occupants per room HCT012016 28 9

1.01 to 1.50 occupants per room HCT012017 28 9

1.51 or more occupants per room HCT012018 28 9

Householder 55 to 64 years: HCT012019 28 9

1.00 or less occupants per room HCT012020 28 9

1.01 to 1.50 occupants per room HCT012021 28 9

1.51 or more occupants per room HCT012022 28 9

Householder 65 to 74 years: HCT012023 28 9

1.00 or less occupants per room HCT012024 28 9

1.01 to 1.50 occupants per room HCT012025 28 9

1.51 or more occupants per room HCT012026 28 9

Householder 75 years and over: HCT012027 28 9

1.00 or less occupants per room HCT012028 28 9

1.01 to 1.50 occupants per room HCT012029 28 9

1.51 or more occupants per room HCT012030 28 9

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HCT12. TENURE BY AGE OF HOUSEHOLDER BY

OCCUPANTS PER ROOM [59]

Total—Con.

Renter occupied—Con.

Householder 15 to 24 years: HCT012032 28 9

1.00 or less occupants per room HCT012033 28 9

1.01 to 1.50 occupants per room HCT012034 28 9

1.51 or more occupants per room HCT012035 28 9

Householder 25 to 34 years: HCT012036 28 9

1.00 or less occupants per room HCT012037 28 9

1.01 to 1.50 occupants per room HCT012038 28 9

1.51 or more occupants per room HCT012039 28 9

Householder 35 to 44 years: HCT012040 28 9

1.00 or less occupants per room HCT012041 28 9

1.01 to 1.50 occupants per room HCT012042 28 9

1.51 or more occupants per room HCT012043 28 9

Householder 45 to 54 years: HCT012044 28 9

1.00 or less occupants per room HCT012045 28 9

1.01 to 1.50 occupants per room HCT012046 28 9

1.51 or more occupants per room HCT012047 28 9

Householder 55 to 64 years: HCT012048 28 9

1.00 or less occupants per room HCT012049 28 9

1.01 to 1.50 occupants per room HCT012050 28 9

1.51 or more occupants per room HCT012051 28 9

Householder 65 to 74 years: HCT012052 28 9

1.00 or less occupants per room HCT012053 28 9

1.01 to 1.50 occupants per room HCT012054 28 9

1.51 or more occupants per room HCT012055 28 9

Householder 75 years and over: HCT012056 28 9

1.00 or less occupants per room HCT012057 28 9

1.01 to 1.50 occupants per room HCT012058 28 9

1.51 or more occupants per room HCT012059 28 9

HCT13. TENURE BY PLUMBING FACILITIES BY

OCCUPANTS PER ROOM [19]

Universe: Occupied housing units

Total: HCT013001 28 9

Owner occupied: HCT013002 28 9

Complete plumbing facilities: HCT013003 28 9

1.00 or less occupants per room HCT013004 28 9

1.01 to 1.50 occupants per room HCT013005 28 9

1.51 or more occupants per room HCT013006 28 9

Lacking complete plumbing facilities: HCT013007 28 9

1.00 or less occupants per room HCT013008 28 9

1.01 to 1.50 occupants per room HCT013009 28 9

1.51 or more occupants per room HCT013010 28 9

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HCT13. TENURE BY PLUMBING FACILITIES BY

OCCUPANTS PER ROOM [19]—Con.

Total—Con.

Renter occupied: HCT013011 28 9

Complete plumbing facilities: HCT013012 28 9

1.00 or less occupants per room HCT013013 28 9

1.01 to 1.50 occupants per room HCT013014 28 9

1.51 or more occupants per room HCT013015 28 9

Lacking complete plumbing facilities: HCT013016 28 9

1.00 or less occupants per room HCT013017 28 9

1.01 to 1.50 occupants per room HCT013018 28 9

1.51 or more occupants per room HCT013019 28 9

HCT14. TENURE BY ROOMS [21]

Universe: Occupied housing units

Total: HCT014001 28 9

Owner occupied: HCT014002 28 9

1 room HCT014003 28 9

2 rooms HCT014004 28 9

3 rooms HCT014005 28 9

4 rooms HCT014006 28 9

5 rooms HCT014007 28 9

6 rooms HCT014008 28 9

7 rooms HCT014009 28 9

8 rooms HCT014010 28 9

9 or more rooms HCT014011 28 9

Renter occupied: HCT014012 28 9

1 room HCT014013 28 9

2 rooms HCT014014 28 9

3 rooms HCT014015 28 9

4 rooms HCT014016 28 9

5 rooms HCT014017 28 9

6 rooms HCT014018 28 9

7 rooms HCT014019 28 9

8 rooms HCT014020 28 9

9 or more rooms HCT014021 28 9

HCT15. MEDIAN NUMBER OF ROOMS BY TENURE [3]

(1 expressed decimal)

Universe: Occupied housing units

Median number of rooms —

Total HCT015001 28 9

Owner occupied HCT015002 28 9

Renter occupied HCT015003 28 9

HCT16. AGGREGATE NUMBER OF ROOMS BY TENURE [3]

Universe: Occupied housing units

Aggregate number of rooms: HCT016001 28 15

Owner occupied HCT016002 28 15

Renter occupied HCT016003 28 15

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HCT17. TENURE BY UNITS IN STRUCTURE [23]

Universe: Occupied housing units

Total: HCT017001 28 9

Owner occupied: HCT017002 28 9

1, detached HCT017003 28 9

1, attached HCT017004 28 9

2 HCT017005 28 9

3 or 4 HCT017006 28 9

5 to 9 HCT017007 28 9

10 to 19 HCT017008 28 9

20 to 49 HCT017009 28 9

50 or more HCT017010 28 9

Mobile home HCT017011 28 9

Boat, RV, van, etc. HCT017012 28 9

Renter occupied: HCT017013 28 9

1, detached HCT017014 28 9

1, attached HCT017015 28 9

2 HCT017016 28 9

3 or 4 HCT017017 28 9

5 to 9 HCT017018 28 9

10 to 19 HCT017019 28 9

20 to 49 HCT017020 28 9

50 or more HCT017021 28 9

Mobile home HCT017022 28 9

Boat, RV, van, etc. HCT017023 28 9

HCT18. TOTAL POPULATION IN OCCUPIED HOUSING

UNITS BY TENURE BY UNITS IN STRUCTURE [23]

Universe: Population in occupied housing units

Total population in occupied housing units: HCT018001 28 9

Owner occupied: HCT018002 28 9

1, detached HCT018003 28 9

1, attached HCT018004 28 9

2 HCT018005 28 9

3 or 4 HCT018006 28 9

5 to 9 HCT018007 28 9

10 to 19 HCT018008 28 9

20 to 49 HCT018009 28 9

50 or more HCT018010 28 9

Mobile home HCT018011 28 9

Boat, RV, van, etc. HCT018012 28 9

Renter occupied: HCT018013 28 9

1, detached HCT018014 28 9

1, attached HCT018015 28 9

2 HCT018016 28 9

3 or 4 HCT018017 28 9

5 to 9 HCT018018 28 9

10 to 19 HCT018019 28 9

20 to 49 HCT018020 28 9

50 or more HCT018021 28 9

Mobile home HCT018022 28 9

Boat, RV, van, etc. HCT018023 28 9

7–198 Data Dictionary

U.S. Census Bureau, Census 2000
Table

number Table contents

Data

dictionary

reference

name

SegmentMax

size

File 29 File Linking Fields (comma delimited)

Field name

Data

dictionary

reference nameMax

size

Data

type

File Identification FILEID 6 A/N

State/U.S.-Abbreviation (USPS) STUSAB 2 A

Characteristic Iteration CHARITER 3 A/N

Characteristic Iteration File Sequence Number CIFSN 2 A/N

Logical Record Number LOGRECNO 7 N

HCT19. TENURE BY HOUSEHOLD SIZE BY UNITS IN

STRUCTURE [83]

Universe: Occupied housing units

Total: HCT019001 29 9

Owner occupied: HCT019002 29 9

1-person household: HCT019003 29 9

1, detached or attached HCT019004 29 9

2 to 4 HCT019005 29 9

5 to 19 HCT019006 29 9

20 to 49 HCT019007 29 9

50 or more HCT019008 29 9

Mobile home HCT019009 29 9

Boat, RV, van, etc. HCT019010 29 9

2-person household: HCT019011 29 9

1, detached or attached HCT019012 29 9

2 to 4 HCT019013 29 9

5 to 19 HCT019014 29 9

20 to 49 HCT019015 29 9

50 or more HCT019016 29 9

Mobile home HCT019017 29 9

Boat, RV, van, etc. HCT019018 29 9

3-person household: HCT019019 29 9

1, detached or attached HCT019020 29 9

2 to 4 HCT019021 29 9

5 to 19 HCT019022 29 9

20 to 49 HCT019023 29 9

50 or more HCT019024 29 9

Mobile home HCT019025 29 9

Boat, RV, van, etc. HCT019026 29 9

4-person household: HCT019027 29 9

1, detached or attached HCT019028 29 9

2 to 4 HCT019029 29 9

5 to 19 HCT019030 29 9

20 to 49 HCT019031 29 9

50 or more HCT019032 29 9

Mobile home HCT019033 29 9

Boat, RV, van, etc. HCT019034 29 9

Data Dictionary 7–199

U.S. Census Bureau, Census 2000
Table

number Table contents

Data

dictionary

reference

name

SegmentMax

size

HCT19. TENURE BY HOUSEHOLD SIZE BY UNITS IN

STRUCTURE [83]—Con.

Total—Con.

Owner occupied—Con.

5-or-more person household: HCT019035 29 9

1, detached or attached HCT019036 29 9

2 to 4 HCT019037 29 9

5 to 19 HCT019038 29 9

20 to 49 HCT019039 29 9

50 or more HCT019040 29 9

Mobile home HCT019041 29 9

Boat, RV, van, etc. HCT019042 29 9

Renter occupied: HCT019043 29 9

1-person household: HCT019044 29 9

1, detached or attached HCT019045 29 9

2 to 4 HCT019046 29 9

5 to 19 HCT019047 29 9

20 to 49 HCT019048 29 9

50 or more HCT019049 29 9

Mobile home HCT019050 29 9

Boat, RV, van, etc. HCT019051 29 9

2-person household: HCT019052 29 9

1, detached or attached HCT019053 29 9

2 to 4 HCT019054 29 9

5 to 19 HCT019055 29 9

20 to 49 HCT019056 29 9

50 or more HCT019057 29 9

Mobile home HCT019058 29 9

Boat, RV, van, etc. HCT019059 29 9

3-person household: HCT019060 29 9

1, detached or attached HCT019061 29 9

2 to 4 HCT019062 29 9

5 to 19 HCT019063 29 9

20 to 49 HCT019064 29 9

50 or more HCT019065 29 9

Mobile home HCT019066 29 9

Boat, RV, van, etc. HCT019067 29 9

4-person household: HCT019068 29 9

1, detached or attached HCT019069 29 9

2 to 4 HCT019070 29 9

5 to 19 HCT019071 29 9

20 to 49 HCT019072 29 9

50 or more HCT019073 29 9

Mobile home HCT019074 29 9

Boat, RV, van, etc. HCT019075 29 9

7–200 Data Dictionary

U.S. Census Bureau, Census 2000
Table

number Table contents

Data

dictionary

reference

name

SegmentMax

size

HCT19. TENURE BY HOUSEHOLD SIZE BY UNITS IN

STRUCTURE [83]—Con.

Total—Con.

Renter occupied—Con.

5-or-more person household: HCT019076 29 9

1, detached or attached HCT019077 29 9

2 to 4 HCT019078 29 9

5 to 19 HCT019079 29 9

20 to 49 HCT019080 29 9

50 or more HCT019081 29 9

Mobile home HCT019082 29 9

Boat, RV, van, etc. HCT019083 29 9

HCT20. TENURE BY AGE OF HOUSEHOLDER BY UNITS IN

STRUCTURE [115]

Universe: Occupied housing units

Total: HCT020001 29 9

Owner occupied: HCT020002 29 9

Householder 15 to 24 years: HCT020003 29 9

1, detached or attached HCT020004 29 9

2 to 4 HCT020005 29 9

5 to 19 HCT020006 29 9

20 to 49 HCT020007 29 9

50 or more HCT020008 29 9

Mobile home HCT020009 29 9

Boat, RV, van, etc. HCT020010 29 9

Householder 25 to 34 years: HCT020011 29 9

1, detached or attached HCT020012 29 9

2 to 4 HCT020013 29 9

5 to 19 HCT020014 29 9

20 to 49 HCT020015 29 9

50 or more HCT020016 29 9

Mobile home HCT020017 29 9

Boat, RV, van, etc. HCT020018 29 9

Householder 35 to 44 years: HCT020019 29 9

1, detached or attached HCT020020 29 9

2 to 4 HCT020021 29 9

5 to 19 HCT020022 29 9

20 to 49 HCT020023 29 9

50 or more HCT020024 29 9

Mobile home HCT020025 29 9

Boat, RV, van, etc. HCT020026 29 9

Householder 45 to 54 years: HCT020027 29 9

1, detached or attached HCT020028 29 9

2 to 4 HCT020029 29 9

5 to 19 HCT020030 29 9

20 to 49 HCT020031 29 9

50 or more HCT020032 29 9

Mobile home HCT020033 29 9

Boat, RV, van, etc. HCT020034 29 9

Data Dictionary 7–201

U.S. Census Bureau, Census 2000
Table

number Table contents

Data

dictionary

reference

name

SegmentMax

size

HCT20. TENURE BY AGE OF HOUSEHOLDER BY UNITS IN

STRUCTURE [115]—Con.

Total—Con.

Owner occupied—Con.

Householder 55 to 64 years: HCT020035 29 9

1, detached or attached HCT020036 29 9

2 to 4 HCT020037 29 9

5 to 19 HCT020038 29 9

20 to 49 HCT020039 29 9

50 or more HCT020040 29 9

Mobile home HCT020041 29 9

Boat, RV, van, etc. HCT020042 29 9

Householder 65 to 74 years: HCT020043 29 9

1, detached or attached HCT020044 29 9

2 to 4 HCT020045 29 9

5 to 19 HCT020046 29 9

20 to 49 HCT020047 29 9

50 or more HCT020048 29 9

Mobile home HCT020049 29 9

Boat, RV, van, etc. HCT020050 29 9

Householder 75 years and over: HCT020051 29 9

1, detached or attached HCT020052 29 9

2 to 4 HCT020053 29 9

5 to 19 HCT020054 29 9

20 to 49 HCT020055 29 9

50 or more HCT020056 29 9

Mobile home HCT020057 29 9

Boat, RV, van, etc. HCT020058 29 9

Renter occupied: HCT020059 29 9

Householder 15 to 24 years: HCT020060 29 9

1, detached or attached HCT020061 29 9

2 to 4 HCT020062 29 9

5 to 19 HCT020063 29 9

20 to 49 HCT020064 29 9

50 or more HCT020065 29 9

Mobile home HCT020066 29 9

Boat, RV, van, etc. HCT020067 29 9

Householder 25 to 34 years: HCT020068 29 9

1, detached or attached HCT020069 29 9

2 to 4 HCT020070 29 9

5 to 19 HCT020071 29 9

20 to 49 HCT020072 29 9

50 or more HCT020073 29 9

Mobile home HCT020074 29 9

Boat, RV, van, etc. HCT020075 29 9

7–202 Data Dictionary

U.S. Census Bureau, Census 2000
Table

number Table contents

Data

dictionary

reference

name

SegmentMax

size

HCT20. TENURE BY AGE OF HOUSEHOLDER BY UNITS IN

STRUCTURE [115]—Con.

Total—Con.

Renter occupied—Con.

Householder 35 to 44 years: HCT020076 29 9

1, detached or attached HCT020077 29 9

2 to 4 HCT020078 29 9

5 to 19 HCT020079 29 9

20 to 49 HCT020080 29 9

50 or more HCT020081 29 9

Mobile home HCT020082 29 9

Boat, RV, van, etc. HCT020083 29 9

Householder 45 to 54 years: HCT020084 29 9

1, detached or attached HCT020085 29 9

2 to 4 HCT020086 29 9

5 to 19 HCT020087 29 9

20 to 49 HCT020088 29 9

50 or more HCT020089 29 9

Mobile home HCT020090 29 9

Boat, RV, van, etc. HCT020091 29 9

Householder 55 to 64 years: HCT020092 29 9

1, detached or attached HCT020093 29 9

2 to 4 HCT020094 29 9

5 to 19 HCT020095 29 9

20 to 49 HCT020096 29 9

50 or more HCT020097 29 9

Mobile home HCT020098 29 9

Boat, RV, van, etc. HCT020099 29 9

Householder 65 to 74 years: HCT020100 29 9

1, detached or attached HCT020101 29 9

2 to 4 HCT020102 29 9

5 to 19 HCT020103 29 9

20 to 49 HCT020104 29 9

50 or more HCT020105 29 9

Mobile home HCT020106 29 9

Boat, RV, van, etc. HCT020107 29 9

Householder 75 years and over: HCT020108 29 9

1, detached or attached HCT020109 29 9

2 to 4 HCT020110 29 9

5 to 19 HCT020111 29 9

20 to 49 HCT020112 29 9

50 or more HCT020113 29 9

Mobile home HCT020114 29 9

Boat, RV, van, etc. HCT020115 29 9

Data Dictionary 7–203

U.S. Census Bureau, Census 2000
Table

number Table contents

Data

dictionary

reference

name

SegmentMax

size

HCT21. TENURE BY YEAR STRUCTURE BUILT [21]

Universe: Occupied housing units

Total: HCT021001 29 9

Owner occupied: HCT021002 29 9

Built 1999 to March 2000 HCT021003 29 9

Built 1995 to 1998 HCT021004 29 9

Built 1990 to 1994 HCT021005 29 9

Built 1980 to 1989 HCT021006 29 9

Built 1970 to 1979 HCT021007 29 9

Built 1960 to 1969 HCT021008 29 9

Built 1950 to 1959 HCT021009 29 9

Built 1940 to 1949 HCT021010 29 9

Built 1939 or earlier HCT021011 29 9

Renter occupied: HCT021012 29 9

Built 1999 to March 2000 HCT021013 29 9

Built 1995 to 1998 HCT021014 29 9

Built 1990 to 1994 HCT021015 29 9

Built 1980 to 1989 HCT021016 29 9

Built 1970 to 1979 HCT021017 29 9

Built 1960 to 1969 HCT021018 29 9

Built 1950 to 1959 HCT021019 29 9

Built 1940 to 1949 HCT021020 29 9

Built 1939 or earlier HCT021021 29 9

HCT22. MEDIAN YEAR STRUCTURE BUILT BY TENURE [3]

Universe: Occupied housing units

Median year structure built —

Total HCT022001 29 9

Owner occupied HCT022002 29 9

Renter occupied HCT022003 29 9

File 30 File Linking Fields (comma delimited)

Field name

Data

dictionary

reference

name

Max

size

Data

type

File Identification FILEID 6 A/N

State/U.S.-Abbreviation (USPS) STUSAB 2 A

Characteristic Iteration CHARITER 3 A/N

Characteristic Iteration File Sequence Number CIFSN 2 A/N

Logical Record Number LOGRECNO 7 N

7–204 Data Dictionary

U.S. Census Bureau, Census 2000
Table

number Table contents

Data

dictionary

reference

name

SegmentMax

size

HCT23. TENURE BY YEAR STRUCTURE BUILT BY UNITS

IN STRUCTURE [147]

Universe: Occupied housing units

Total: HCT023001 30 9

Owner occupied: HCT023002 30 9

Built 1999 to March 2000: HCT023003 30 9

1, detached or attached HCT023004 30 9

2 to 4 HCT023005 30 9

5 to 19 HCT023006 30 9

20 to 49 HCT023007 30 9

50 or more HCT023008 30 9

Mobile home HCT023009 30 9

Boat, RV, van, etc. HCT023010 30 9

Built 1995 to 1998: HCT023011 30 9

1, detached or attached HCT023012 30 9

2 to 4 HCT023013 30 9

5 to 19 HCT023014 30 9

20 to 49 HCT023015 30 9

50 or more HCT023016 30 9

Mobile home HCT023017 30 9

Boat, RV, van, etc. HCT023018 30 9

Built 1990 to 1994: HCT023019 30 9

1, detached or attached HCT023020 30 9

2 to 4 HCT023021 30 9

5 to 19 HCT023022 30 9

20 to 49 HCT023023 30 9

50 or more HCT023024 30 9

Mobile home HCT023025 30 9

Boat, RV, van, etc. HCT023026 30 9

Built 1980 to 1989: HCT023027 30 9

1, detached or attached HCT023028 30 9

2 to 4 HCT023029 30 9

5 to 19 HCT023030 30 9

20 to 49 HCT023031 30 9

50 or more HCT023032 30 9

Mobile home HCT023033 30 9

Boat, RV, van, etc. HCT023034 30 9

Built 1970 to 1979: HCT023035 30 9

1, detached or attached HCT023036 30 9

2 to 4 HCT023037 30 9

5 to 19 HCT023038 30 9

20 to 49 HCT023039 30 9

50 or more HCT023040 30 9

Mobile home HCT023041 30 9

Boat, RV, van, etc. HCT023042 30 9

Data Dictionary 7–205

U.S. Census Bureau, Census 2000
Table

number Table contents

Data

dictionary

reference

name

SegmentMax

size

HCT23. TENURE BY YEAR STRUCTURE BUILT BY UNITS

IN STRUCTURE [147]—Con.

Total—Con.

Owner occupied—Con.

Built 1960 to 1969: HCT023043 30 9

1, detached or attached HCT023044 30 9

2 to 4 HCT023045 30 9

5 to 19 HCT023046 30 9

20 to 49 HCT023047 30 9

50 or more HCT023048 30 9

Mobile home HCT023049 30 9

Boat, RV, van, etc. HCT023050 30 9

Built 1950 to 1959: HCT023051 30 9

1, detached or attached HCT023052 30 9

2 to 4 HCT023053 30 9

5 to 19 HCT023054 30 9

20 to 49 HCT023055 30 9

50 or more HCT023056 30 9

Mobile home HCT023057 30 9

Boat, RV, van, etc. HCT023058 30 9

Built 1940 to 1949: HCT023059 30 9

1, detached or attached HCT023060 30 9

2 to 4 HCT023061 30 9

5 to 19 HCT023062 30 9

20 to 49 HCT023063 30 9

50 or more HCT023064 30 9

Mobile home HCT023065 30 9

Boat, RV, van, etc. HCT023066 30 9

Built 1939 or earlier: HCT023067 30 9

1, detached or attached HCT023068 30 9

2 to 4 HCT023069 30 9

5 to 19 HCT023070 30 9

20 to 49 HCT023071 30 9

50 or more HCT023072 30 9

Mobile home HCT023073 30 9

Boat, RV, van, etc. HCT023074 30 9

Renter occupied: HCT023075 30 9

Built 1999 to March 2000: HCT023076 30 9

1, detached or attached HCT023077 30 9

2 to 4 HCT023078 30 9

5 to 19 HCT023079 30 9

20 to 49 HCT023080 30 9

50 or more HCT023081 30 9

Mobile home HCT023082 30 9

Boat, RV, van, etc. HCT023083 30 9

7–206 Data Dictionary

U.S. Census Bureau, Census 2000
Table

number Table contents

Data

dictionary

reference

name

SegmentMax

size

HCT23. TENURE BY YEAR STRUCTURE BUILT BY UNITS

IN STRUCTURE [147]—Con.

Total—Con.

Renter occupied—Con.

Built 1995 to 1998: HCT023084 30 9

1, detached or attached HCT023085 30 9

2 to 4 HCT023086 30 9

5 to 19 HCT023087 30 9

20 to 49 HCT023088 30 9

50 or more HCT023089 30 9

Mobile home HCT023090 30 9

Boat, RV, van, etc. HCT023091 30 9

Built 1990 to 1994: HCT023092 30 9

1, detached or attached HCT023093 30 9

2 to 4 HCT023094 30 9

5 to 19 HCT023095 30 9

20 to 49 HCT023096 30 9

50 or more HCT023097 30 9

Mobile home HCT023098 30 9

Boat, RV, van, etc. HCT023099 30 9

Built 1980 to 1989: HCT023100 30 9

1, detached or attached HCT023101 30 9

2 to 4 HCT023102 30 9

5 to 19 HCT023103 30 9

20 to 49 HCT023104 30 9

50 or more HCT023105 30 9

Mobile home HCT023106 30 9

Boat, RV, van, etc. HCT023107 30 9

Built 1970 to 1979: HCT023108 30 9

1, detached or attached HCT023109 30 9

2 to 4 HCT023110 30 9

5 to 19 HCT023111 30 9

20 to 49 HCT023112 30 9

50 or more HCT023113 30 9

Mobile home HCT023114 30 9

Boat, RV, van, etc. HCT023115 30 9

Built 1960 to 1969: HCT023116 30 9

1, detached or attached HCT023117 30 9

2 to 4 HCT023118 30 9

5 to 19 HCT023119 30 9

20 to 49 HCT023120 30 9

50 or more HCT023121 30 9

Mobile home HCT023122 30 9

Boat, RV, van, etc. HCT023123 30 9

Data Dictionary 7–207

U.S. Census Bureau, Census 2000
Table

number Table contents

Data

dictionary

reference

name

SegmentMax

size

HCT23. TENURE BY YEAR STRUCTURE BUILT BY UNITS

IN STRUCTURE [147]—Con.

Total—Con.

Renter occupied—Con.

Built 1950 to 1959: HCT023124 30 9

1, detached or attached HCT023125 30 9

2 to 4 HCT023126 30 9

5 to 19 HCT023127 30 9

20 to 49 HCT023128 30 9

50 or more HCT023129 30 9

Mobile home HCT023130 30 9

Boat, RV, van, etc. HCT023131 30 9

Built 1940 to 1949: HCT023132 30 9

1, detached or attached HCT023133 30 9

2 to 4 HCT023134 30 9

5 to 19 HCT023135 30 9

20 to 49 HCT023136 30 9

50 or more HCT023137 30 9

Mobile home HCT023138 30 9

Boat, RV, van, etc. HCT023139 30 9

Built 1939 or earlier: HCT023140 30 9

1, detached or attached HCT023141 30 9

2 to 4 HCT023142 30 9

5 to 19 HCT023143 30 9

20 to 49 HCT023144 30 9

50 or more HCT023145 30 9

Mobile home HCT023146 30 9

Boat, RV, van, etc. HCT023147 30 9

HCT24. TENURE BY YEAR HOUSEHOLDER MOVED INTO

UNIT [15]

Universe: Occupied housing units

Total: HCT024001 30 9

Owner occupied: HCT024002 30 9

Moved in 1999 to March 2000 HCT024003 30 9

Moved in 1995 to 1998 HCT024004 30 9

Moved in 1990 to 1994 HCT024005 30 9

Moved in 1980 to 1989 HCT024006 30 9

Moved in 1970 to 1979 HCT024007 30 9

Moved in 1969 or earlier HCT024008 30 9

Renter occupied: HCT024009 30 9

Moved in 1999 to March 2000 HCT024010 30 9

Moved in 1995 to 1998 HCT024011 30 9

Moved in 1990 to 1994 HCT024012 30 9

Moved in 1980 to 1989 HCT024013 30 9

Moved in 1970 to 1979 HCT024014 30 9

Moved in 1969 or earlier HCT024015 30 9

7–208 Data Dictionary

U.S. Census Bureau, Census 2000
Table

number Table contents

Data

dictionary

reference

name

SegmentMax

size

HCT25. MEDIAN YEAR HOUSEHOLDER MOVED INTO

UNIT BY TENURE [3]

Universe: Occupied housing units

Median year householder moved into unit —

Total HCT025001 30 9

Owner occupied HCT025002 30 9

Renter occupied HCT025003 30 9

File 31 File Linking Fields (comma delimited)

Field name

Data

dictionary

reference nameMax

size

Data

type

File Identification FILEID 6 A/N

State/U.S.-Abbreviation (USPS) STUSAB 2 A

Characteristic Iteration CHARITER 3 A/N

Characteristic Iteration File Sequence Number CIFSN 2 A/N

Logical Record Number LOGRECNO 7 N

HCT26. TENURE BY AGE OF HOUSEHOLDER BY YEAR

HOUSEHOLDER MOVED INTO UNIT [101]

Universe: Occupied housing units

Total: HCT026001 31 9

Owner occupied: HCT026002 31 9

Householder 15 to 24 years: HCT026003 31 9

Moved in 1999 to March 2000 HCT026004 31 9

Moved in 1995 to 1998 HCT026005 31 9

Moved in 1990 to 1994 HCT026006 31 9

Moved in 1980 to 1989 HCT026007 31 9

Moved in 1970 to 1979 HCT026008 31 9

Moved in 1969 or earlier HCT026009 31 9

Householder 25 to 34 years: HCT026010 31 9

Moved in 1999 to March 2000 HCT026011 31 9

Moved in 1995 to 1998 HCT026012 31 9

Moved in 1990 to 1994 HCT026013 31 9

Moved in 1980 to 1989 HCT026014 31 9

Moved in 1970 to 1979 HCT026015 31 9

Moved in 1969 or earlier HCT026016 31 9

Householder 35 to 44 years: HCT026017 31 9

Moved in 1999 to March 2000 HCT026018 31 9

Moved in 1995 to 1998 HCT026019 31 9

Moved in 1990 to 1994 HCT026020 31 9

Moved in 1980 to 1989 HCT026021 31 9

Moved in 1970 to 1979 HCT026022 31 9

Moved in 1969 or earlier HCT026023 31 9

Data Dictionary 7–209

U.S. Census Bureau, Census 2000
Table

number Table contents

Data

dictionary

reference

name

SegmentMax

size

HCT26. TENURE BY AGE OF HOUSEHOLDER BY YEAR

HOUSEHOLDER MOVED INTO UNIT [101]—Con.

Total—Con.

Owner occupied—Con.

Householder 45 to 54 years: HCT026024 31 9

Moved in 1999 to March 2000 HCT026025 31 9

Moved in 1995 to 1998 HCT026026 31 9

Moved in 1990 to 1994 HCT026027 31 9

Moved in 1980 to 1989 HCT026028 31 9

Moved in 1970 to 1979 HCT026029 31 9

Moved in 1969 or earlier HCT026030 31 9

Householder 55 to 64 years: HCT026031 31 9

Moved in 1999 to March 2000 HCT026032 31 9

Moved in 1995 to 1998 HCT026033 31 9

Moved in 1990 to 1994 HCT026034 31 9

Moved in 1980 to 1989 HCT026035 31 9

Moved in 1970 to 1979 HCT026036 31 9

Moved in 1969 or earlier HCT026037 31 9

Householder 65 to 74 years: HCT026038 31 9

Moved in 1999 to March 2000 HCT026039 31 9

Moved in 1995 to 1998 HCT026040 31 9

Moved in 1990 to 1994 HCT026041 31 9

Moved in 1980 to 1989 HCT026042 31 9

Moved in 1970 to 1979 HCT026043 31 9

Moved in 1969 or earlier HCT026044 31 9

Householder 75 years and over: HCT026045 31 9

Moved in 1999 to March 2000 HCT026046 31 9

Moved in 1995 to 1998 HCT026047 31 9

Moved in 1990 to 1994 HCT026048 31 9

Moved in 1980 to 1989 HCT026049 31 9

Moved in 1970 to 1979 HCT026050 31 9

Moved in 1969 or earlier HCT026051 31 9

Renter occupied: HCT026052 31 9

Householder 15 to 24 years: HCT026053 31 9

Moved in 1999 to March 2000 HCT026054 31 9

Moved in 1995 to 1998 HCT026055 31 9

Moved in 1990 to 1994 HCT026056 31 9

Moved in 1980 to 1989 HCT026057 31 9

Moved in 1970 to 1979 HCT026058 31 9

Moved in 1969 or earlier HCT026059 31 9

Householder 25 to 34 years: HCT026060 31 9

Moved in 1999 to March 2000 HCT026061 31 9

Moved in 1995 to 1998 HCT026062 31 9

Moved in 1990 to 1994 HCT026063 31 9

Moved in 1980 to 1989 HCT026064 31 9

Moved in 1970 to 1979 HCT026065 31 9

Moved in 1969 or earlier HCT026066 31 9

7–210 Data Dictionary

U.S. Census Bureau, Census 2000
Table

number Table contents

Data

dictionary

reference

name

SegmentMax

size

HCT26. TENURE BY AGE OF HOUSEHOLDER BY YEAR

HOUSEHOLDER MOVED INTO UNIT [101]—Con.

Total—Con.

Renter occupied—Con.

Householder 35 to 44 years: HCT026067 31 9

Moved in 1999 to March 2000 HCT026068 31 9

Moved in 1995 to 1998 HCT026069 31 9

Moved in 1990 to 1994 HCT026070 31 9

Moved in 1980 to 1989 HCT026071 31 9

Moved in 1970 to 1979 HCT026072 31 9

Moved in 1969 or earlier HCT026073 31 9

Householder 45 to 54 years: HCT026074 31 9

Moved in 1999 to March 2000 HCT026075 31 9

Moved in 1995 to 1998 HCT026076 31 9

Moved in 1990 to 1994 HCT026077 31 9

Moved in 1980 to 1989 HCT026078 31 9

Moved in 1970 to 1979 HCT026079 31 9

Moved in 1969 or earlier HCT026080 31 9

Householder 55 to 64 years: HCT026081 31 9

Moved in 1999 to March 2000 HCT026082 31 9

Moved in 1995 to 1998 HCT026083 31 9

Moved in 1990 to 1994 HCT026084 31 9

Moved in 1980 to 1989 HCT026085 31 9

Moved in 1970 to 1979 HCT026086 31 9

Moved in 1969 or earlier HCT026087 31 9

Householder 65 to 74 years: HCT026088 31 9

Moved in 1999 to March 2000 HCT026089 31 9

Moved in 1995 to 1998 HCT026090 31 9

Moved in 1990 to 1994 HCT026091 31 9

Moved in 1980 to 1989 HCT026092 31 9

Moved in 1970 to 1979 HCT026093 31 9

Moved in 1969 or earlier HCT026094 31 9

Householder 75 years and over: HCT026095 31 9

Moved in 1999 to March 2000 HCT026096 31 9

Moved in 1995 to 1998 HCT026097 31 9

Moved in 1990 to 1994 HCT026098 31 9

Moved in 1980 to 1989 HCT026099 31 9

Moved in 1970 to 1979 HCT026100 31 9

Moved in 1969 or earlier HCT026101 31 9

Data Dictionary 7–211

U.S. Census Bureau, Census 2000
Table

number Table contents

Data

dictionary

reference

name

SegmentMax

size

HCT27. TENURE BY YEAR HOUSEHOLDER MOVED INTO

UNIT BY UNITS IN STRUCTURE [99]

Universe: Occupied housing units

Total: HCT027001 31 9

Owner occupied: HCT027002 31 9

Moved in 1999 to March 2000: HCT027003 31 9

1, detached or attached HCT027004 31 9

2 to 4 HCT027005 31 9

5 to 19 HCT027006 31 9

20 to 49 HCT027007 31 9

50 or more HCT027008 31 9

Mobile home HCT027009 31 9

Boat, RV, van, etc. HCT027010 31 9

Moved in 1995 to 1998: HCT027011 31 9

1, detached or attached HCT027012 31 9

2 to 4 HCT027013 31 9

5 to 19 HCT027014 31 9

20 to 49 HCT027015 31 9

50 or more HCT027016 31 9

Mobile home HCT027017 31 9

Boat, RV, van, etc. HCT027018 31 9

Moved in 1990 to 1994: HCT027019 31 9

1, detached or attached HCT027020 31 9

2 to 4 HCT027021 31 9

5 to 19 HCT027022 31 9

20 to 49 HCT027023 31 9

50 or more HCT027024 31 9

Mobile home HCT027025 31 9

Boat, RV, van, etc. HCT027026 31 9

Moved in 1980 to 1989: HCT027027 31 9

1, detached or attached HCT027028 31 9

2 to 4 HCT027029 31 9

5 to 19 HCT027030 31 9

20 to 49 HCT027031 31 9

50 or more HCT027032 31 9

Mobile home HCT027033 31 9

Boat, RV, van, etc. HCT027034 31 9

Moved in 1970 to 1979: HCT027035 31 9

1, detached or attached HCT027036 31 9

2 to 4 HCT027037 31 9

5 to 19 HCT027038 31 9

20 to 49 HCT027039 31 9

50 or more HCT027040 31 9

Mobile home HCT027041 31 9

Boat, RV, van, etc. HCT027042 31 9

7–212 Data Dictionary

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size

HCT27. TENURE BY YEAR HOUSEHOLDER MOVED INTO

UNIT BY UNITS IN STRUCTURE [99]—Con.

Total—Con.

Owner occupied—Con.

Moved in 1969 or earlier: HCT027043 31 9

1, detached or attached HCT027044 31 9

2 to 4 HCT027045 31 9

5 to 19 HCT027046 31 9

20 to 49 HCT027047 31 9

50 or more HCT027048 31 9

Mobile home HCT027049 31 9

Boat, RV, van, etc. HCT027050 31 9

Renter occupied: HCT027051 31 9

Moved in 1999 to March 2000: HCT027052 31 9

1, detached or attached HCT027053 31 9

2 to 4 HCT027054 31 9

5 to 19 HCT027055 31 9

20 to 49 HCT027056 31 9

50 or more HCT027057 31 9

Mobile home HCT027058 31 9

Boat, RV, van, etc. HCT027059 31 9

Moved in 1995 to 1998: HCT027060 31 9

1, detached or attached HCT027061 31 9

2 to 4 HCT027062 31 9

5 to 19 HCT027063 31 9

20 to 49 HCT027064 31 9

50 or more HCT027065 31 9

Mobile home HCT027066 31 9

Boat, RV, van, etc. HCT027067 31 9

Moved in 1990 to 1994: HCT027068 31 9

1, detached or attached HCT027069 31 9

2 to 4 HCT027070 31 9

5 to 19 HCT027071 31 9

20 to 49 HCT027072 31 9

50 or more HCT027073 31 9

Mobile home HCT027074 31 9

Boat, RV, van, etc. HCT027075 31 9

Moved in 1980 to 1989: HCT027076 31 9

1, detached or attached HCT027077 31 9

2 to 4 HCT027078 31 9

5 to 19 HCT027079 31 9

20 to 49 HCT027080 31 9

50 or more HCT027081 31 9

Mobile home HCT027082 31 9

Boat, RV, van, etc. HCT027083 31 9

Data Dictionary 7–213

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Data

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SegmentMax

size

HCT27. TENURE BY YEAR HOUSEHOLDER MOVED INTO

UNIT BY UNITS IN STRUCTURE [99]—Con.

Total—Con.

Renter occupied—Con.

Moved in 1970 to 1979: HCT027084 31 9

1, detached or attached HCT027085 31 9

2 to 4 HCT027086 31 9

5 to 19 HCT027087 31 9

20 to 49 HCT027088 31 9

50 or more HCT027089 31 9

Mobile home HCT027090 31 9

Boat, RV, van, etc. HCT027091 31 9

Moved in 1969 or earlier: HCT027092 31 9

1, detached or attached HCT027093 31 9

2 to 4 HCT027094 31 9

5 to 19 HCT027095 31 9

20 to 49 HCT027096 31 9

50 or more HCT027097 31 9

Mobile home HCT027098 31 9

Boat, RV, van, etc. HCT027099 31 9

HCT28. TOTAL POPULATION IN OCCUPIED HOUSING

UNITS BY TENURE BY YEAR HOUSEHOLDER

MOVED INTO UNIT [15]

Universe: Population in occupied housing units

Total population in occupied housing units: HCT028001 31 9

Owner occupied: HCT028002 31 9

Moved in 1999 to March 2000 HCT028003 31 9

Moved in 1995 to 1998 HCT028004 31 9

Moved in 1990 to 1994 HCT028005 31 9

Moved in 1980 to 1989 HCT028006 31 9

Moved in 1970 to 1979 HCT028007 31 9

Moved in 1969 or earlier HCT028008 31 9

Renter occupied: HCT028009 31 9

Moved in 1999 to March 2000 HCT028010 31 9

Moved in 1995 to 1998 HCT028011 31 9

Moved in 1990 to 1994 HCT028012 31 9

Moved in 1980 to 1989 HCT028013 31 9

Moved in 1970 to 1979 HCT028014 31 9

Moved in 1969 or earlier HCT028015 31 9

7–214 Data Dictionary

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Data

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HCT29. TENURE BY HOUSE HEATING FUEL [21]

Universe: Occupied housing units

Total: HCT029001 31 9

Owner occupied: HCT029002 31 9

Utility gas HCT029003 31 9

Bottled, tank, or LP gas HCT029004 31 9

Electricity HCT029005 31 9

Fuel oil, kerosene, etc. HCT029006 31 9

Coal or coke HCT029007 31 9

Wood HCT029008 31 9

Solar energy HCT029009 31 9

Other fuel HCT029010 31 9

No fuel used HCT029011 31 9

Renter occupied: HCT029012 31 9

Utility gas HCT029013 31 9

Bottled, tank, or LP gas HCT029014 31 9

Electricity HCT029015 31 9

Fuel oil, kerosene, etc. HCT029016 31 9

Coal or coke HCT029017 31 9

Wood HCT029018 31 9

Solar energy HCT029019 31 9

Other fuel HCT029020 31 9

No fuel used HCT029021 31 9

File 32 File Linking Fields (comma delimited)

Field name

Data

dictionary

reference

name

Max

size

Data

type

File Identification FILEID 6 A/N

State/U.S.-Abbreviation (USPS) STUSAB 2 A

Characteristic Iteration CHARITER 3 A/N

Characteristic Iteration File Sequence Number CIFSN 2 A/N

Logical Record Number LOGRECNO 7 N

HCT30. TENURE BY BEDROOMS [15]

Universe: Occupied housing units

Total: HCT030001 32 9

Owner occupied: HCT030002 32 9

No bedroom HCT030003 32 9

1 bedroom HCT030004 32 9

2 bedrooms HCT030005 32 9

3 bedrooms HCT030006 32 9

4 bedrooms HCT030007 32 9

5 or more bedrooms HCT030008 32 9

Data Dictionary 7–215

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size

HCT30. TENURE BY BEDROOMS [15]—Con.

Total—Con.

Renter occupied: HCT030009 32 9

No bedroom HCT030010 32 9

1 bedroom HCT030011 32 9

2 bedrooms HCT030012 32 9

3 bedrooms HCT030013 32 9

4 bedrooms HCT030014 32 9

5 or more bedrooms HCT030015 32 9

HCT31. TENURE BY TELEPHONE SERVICE AVAILABLE BY

AGE OF HOUSEHOLDER [35]

Universe: Occupied housing units

Total: HCT031001 32 9

Owner occupied: HCT031002 32 9

With telephone service available: HCT031003 32 9

Householder 15 to 24 years HCT031004 32 9

Householder 25 to 34 years HCT031005 32 9

Householder 35 to 44 years HCT031006 32 9

Householder 45 to 54 years HCT031007 32 9

Householder 55 to 64 years HCT031008 32 9

Householder 65 to 74 years HCT031009 32 9

Householder 75 years and over HCT031010 32 9

No telephone service available: HCT031011 32 9

Householder 15 to 24 years HCT031012 32 9

Householder 25 to 34 years HCT031013 32 9

Householder 35 to 44 years HCT031014 32 9

Householder 45 to 54 years HCT031015 32 9

Householder 55 to 64 years HCT031016 32 9

Householder 65 to 74 years HCT031017 32 9

Householder 75 years and over HCT031018 32 9

Renter occupied: HCT031019 32 9

With telephone service available: HCT031020 32 9

Householder 15 to 24 years HCT031021 32 9

Householder 25 to 34 years HCT031022 32 9

Householder 35 to 44 years HCT031023 32 9

Householder 45 to 54 years HCT031024 32 9

Householder 55 to 64 years HCT031025 32 9

Householder 65 to 74 years HCT031026 32 9

Householder 75 years and over HCT031027 32 9

No telephone service available: HCT031028 32 9

Householder 15 to 24 years HCT031029 32 9

Householder 25 to 34 years HCT031030 32 9

Householder 35 to 44 years HCT031031 32 9

Householder 45 to 54 years HCT031032 32 9

Householder 55 to 64 years HCT031033 32 9

Householder 65 to 74 years HCT031034 32 9

Householder 75 years and over HCT031035 32 9

7–216 Data Dictionary

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Data

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size

HCT32. TENURE BY VEHICLES AVAILABLE [15]

Universe: Occupied housing units

Total: HCT032001 32 9

Owner occupied: HCT032002 32 9

No vehicle available HCT032003 32 9

1 vehicle available HCT032004 32 9

2 vehicles available HCT032005 32 9

3 vehicles available HCT032006 32 9

4 vehicles available HCT032007 32 9

5 or more vehicles available HCT032008 32 9

Renter occupied: HCT032009 32 9

No vehicle available HCT032010 32 9

1 vehicle available HCT032011 32 9

2 vehicles available HCT032012 32 9

3 vehicles available HCT032013 32 9

4 vehicles available HCT032014 32 9

5 or more vehicles available HCT032015 32 9

HCT33. TENURE BY VEHICLES AVAILABLE BY AGE OF

HOUSEHOLDER [35]

Universe: Occupied housing units

Total: HCT033001 32 9

Owner occupied: HCT033002 32 9

No vehicle available: HCT033003 32 9

Householder 15 to 24 years HCT033004 32 9

Householder 25 to 34 years HCT033005 32 9

Householder 35 to 44 years HCT033006 32 9

Householder 45 to 54 years HCT033007 32 9

Householder 55 to 64 years HCT033008 32 9

Householder 65 to 74 years HCT033009 32 9

Householder 75 years and over HCT033010 32 9

1 or more vehicles available: HCT033011 32 9

Householder 15 to 24 years HCT033012 32 9

Householder 25 to 34 years HCT033013 32 9

Householder 35 to 44 years HCT033014 32 9

Householder 45 to 54 years HCT033015 32 9

Householder 55 to 64 years HCT033016 32 9

Householder 65 to 74 years HCT033017 32 9

Householder 75 years and over HCT033018 32 9

Renter occupied: HCT033019 32 9

No vehicle available: HCT033020 32 9

Householder 15 to 24 years HCT033021 32 9

Householder 25 to 34 years HCT033022 32 9

Householder 35 to 44 years HCT033023 32 9

Householder 45 to 54 years HCT033024 32 9

Householder 55 to 64 years HCT033025 32 9

Householder 65 to 74 years HCT033026 32 9

Householder 75 years and over HCT033027 32 9

Data Dictionary 7–217

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Table

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Data

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size

HCT33. TENURE BY VEHICLES AVAILABLE BY AGE OF

HOUSEHOLDER [35]—Con.

Total—Con.

Renter occupied—Con.

1 or more vehicles available: HCT033028 32 9

Householder 15 to 24 years HCT033029 32 9

Householder 25 to 34 years HCT033030 32 9

Householder 35 to 44 years HCT033031 32 9

Householder 45 to 54 years HCT033032 32 9

Householder 55 to 64 years HCT033033 32 9

Householder 65 to 74 years HCT033034 32 9

Householder 75 years and over HCT033035 32 9

HCT34. AGGREGATE NUMBER OF VEHICLES AVAILABLE

BY TENURE [3]

Universe: Occupied housing units

Aggregate number of vehicles available: HCT034001 32 15

Owner occupied HCT034002 32 15

Renter occupied HCT034003 32 15

HCT35. TENURE BY HOUSEHOLD INCOME IN 1999 [25]

Universe: Occupied housing units

Total: HCT035001 32 9

Owner occupied: HCT035002 32 9

Less than $5,000 HCT035003 32 9

$5,000 to $9,999 HCT035004 32 9

$10,000 to $14,999 HCT035005 32 9

$15,000 to $19,999 HCT035006 32 9

$20,000 to $24,999 HCT035007 32 9

$25,000 to $34,999 HCT035008 32 9

$35,000 to $49,999 HCT035009 32 9

$50,000 to $74,999 HCT035010 32 9

$75,000 to $99,999 HCT035011 32 9

$100,000 to $149,999 HCT035012 32 9

$150,000 or more HCT035013 32 9

Renter occupied: HCT035014 32 9

Less than $5,000 HCT035015 32 9

$5,000 to $9,999 HCT035016 32 9

$10,000 to $14,999 HCT035017 32 9

$15,000 to $19,999 HCT035018 32 9

$20,000 to $24,999 HCT035019 32 9

$25,000 to $34,999 HCT035020 32 9

$35,000 to $49,999 HCT035021 32 9

$50,000 to $74,999 HCT035022 32 9

$75,000 to $99,999 HCT035023 32 9

$100,000 to $149,999 HCT035024 32 9

$150,000 or more HCT035025 32 9

7–218 Data Dictionary

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HCT36. MEDIAN HOUSEHOLD INCOME IN 1999

(DOLLARS) BY TENURE [3]

Universe: Occupied housing units

Median household income in 1999 —

Total HCT036001 32 9

Owner occupied HCT036002 32 9

Renter occupied HCT036003 32 9

HCT37. AGGREGATE HOUSEHOLD INCOME IN 1999

(DOLLARS) BY TENURE AND MORTGAGE STATUS

[5]

Universe: Occupied housing units

Aggregate household income in 1999: HCT037001 32 15

Owner occupied: HCT037002 32 15

Housing units with a mortgage HCT037003 32 15

Housing units without a mortgage HCT037004 32 15

Renter occupied HCT037005 32 15

HCT38. AGGREGATE HOUSEHOLD INCOME IN 1999

(DOLLARS) BY TENURE BY AGE OF

HOUSEHOLDER BY UNITS IN STRUCTURE [51]

Universe: Occupied housing units

Aggregate household income in 1999: HCT038001 32 15

Owner occupied: HCT038002 32 15

Householder 15 to 34 years: HCT038003 32 15

1, detached or attached HCT038004 32 15

2 to 4 HCT038005 32 15

5 to 19 HCT038006 32 15

20 to 49 HCT038007 32 15

50 or more HCT038008 32 15

Mobile home HCT038009 32 15

Boat, RV, van, etc. HCT038010 32 15

Householder 35 to 64 years: HCT038011 32 15

1, detached or attached HCT038012 32 15

2 to 4 HCT038013 32 15

5 to 19 HCT038014 32 15

20 to 49 HCT038015 32 15

50 or more HCT038016 32 15

Mobile home HCT038017 32 15

Boat, RV, van, etc. HCT038018 32 15

Householder 65 years and over: HCT038019 32 15

1, detached or attached HCT038020 32 15

2 to 4 HCT038021 32 15

5 to 19 HCT038022 32 15

20 to 49 HCT038023 32 15

50 or more HCT038024 32 15

Mobile home HCT038025 32 15

Boat, RV, van, etc. HCT038026 32 15

Data Dictionary 7–219

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SegmentMax

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HCT38. AGGREGATE HOUSEHOLD INCOME IN 1999

(DOLLARS) BY TENURE BY AGE OF

HOUSEHOLDER BY UNITS IN STRUCTURE

[51]—Con.

Aggregate household income in 1999—Con.

Renter occupied: HCT038027 32 15

Householder 15 to 34 years: HCT038028 32 15

1, detached or attached HCT038029 32 15

2 to 4 HCT038030 32 15

5 to 19 HCT038031 32 15

20 to 49 HCT038032 32 15

50 or more HCT038033 32 15

Mobile home HCT038034 32 15

Boat, RV, van, etc. HCT038035 32 15

Householder 35 to 64 years: HCT038036 32 15

1, detached or attached HCT038037 32 15

2 to 4 HCT038038 32 15

5 to 19 HCT038039 32 15

20 to 49 HCT038040 32 15

50 or more HCT038041 32 15

Mobile home HCT038042 32 15

Boat, RV, van, etc. HCT038043 32 15

Householder 65 years and over: HCT038044 32 15

1, detached or attached HCT038045 32 15

2 to 4 HCT038046 32 15

5 to 19 HCT038047 32 15

20 to 49 HCT038048 32 15

50 or more HCT038049 32 15

Mobile home HCT038050 32 15

Boat, RV, van, etc. HCT038051 32 15

HCT39. AGGREGATE HOUSEHOLD INCOME IN 1999

(DOLLARS) BY TENURE BY AGE OF

HOUSEHOLDER BY YEAR STRUCTURE BUILT [63]

Universe: Occupied housing units

Aggregate household income in 1999: HCT039001 32 15

Owner occupied: HCT039002 32 15

Householder 15 to 34 years: HCT039003 32 15

Built 1999 to March 2000 HCT039004 32 15

Built 1995 to 1998 HCT039005 32 15

Built 1990 to 1994 HCT039006 32 15

Built 1980 to 1989 HCT039007 32 15

Built 1970 to 1979 HCT039008 32 15

Built 1960 to 1969 HCT039009 32 15

Built 1950 to 1959 HCT039010 32 15

Built 1940 to 1949 HCT039011 32 15

Built 1939 or earlier HCT039012 32 15

7–220 Data Dictionary

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size

HCT39. AGGREGATE HOUSEHOLD INCOME IN 1999

(DOLLARS) BY TENURE BY AGE OF

HOUSEHOLDER BY YEAR STRUCTURE BUILT

[63]—Con.

Aggregate household income in 1999—Con.

Owner occupied—Con.

Householder 35 to 64 years: HCT039013 32 15

Built 1999 to March 2000 HCT039014 32 15

Built 1995 to 1998 HCT039015 32 15

Built 1990 to 1994 HCT039016 32 15

Built 1980 to 1989 HCT039017 32 15

Built 1970 to 1979 HCT039018 32 15

Built 1960 to 1969 HCT039019 32 15

Built 1950 to 1959 HCT039020 32 15

Built 1940 to 1949 HCT039021 32 15

Built 1939 or earlier HCT039022 32 15

Householder 65 years and over: HCT039023 32 15

Built 1999 to March 2000 HCT039024 32 15

Built 1995 to 1998 HCT039025 32 15

Built 1990 to 1994 HCT039026 32 15

Built 1980 to 1989 HCT039027 32 15

Built 1970 to 1979 HCT039028 32 15

Built 1960 to 1969 HCT039029 32 15

Built 1950 to 1959 HCT039030 32 15

Built 1940 to 1949 HCT039031 32 15

Built 1939 or earlier HCT039032 32 15

Renter occupied: HCT039033 32 15

Householder 15 to 34 years: HCT039034 32 15

Built 1999 to March 2000 HCT039035 32 15

Built 1995 to 1998 HCT039036 32 15

Built 1990 to 1994 HCT039037 32 15

Built 1980 to 1989 HCT039038 32 15

Built 1970 to 1979 HCT039039 32 15

Built 1960 to 1969 HCT039040 32 15

Built 1950 to 1959 HCT039041 32 15

Built 1940 to 1949 HCT039042 32 15

Built 1939 or earlier HCT039043 32 15

Householder 35 to 64 years: HCT039044 32 15

Built 1999 to March 2000 HCT039045 32 15

Built 1995 to 1998 HCT039046 32 15

Built 1990 to 1994 HCT039047 32 15

Built 1980 to 1989 HCT039048 32 15

Built 1970 to 1979 HCT039049 32 15

Built 1960 to 1969 HCT039050 32 15

Built 1950 to 1959 HCT039051 32 15

Built 1940 to 1949 HCT039052 32 15

Built 1939 or earlier HCT039053 32 15

Data Dictionary 7–221

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Data

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SegmentMax

size

HCT39. AGGREGATE HOUSEHOLD INCOME IN 1999

(DOLLARS) BY TENURE BY AGE OF

HOUSEHOLDER BY YEAR STRUCTURE BUILT

[63]—Con.

Aggregate household income in 1999—Con.

Renter occupied—Con.

Householder 65 years and over: HCT039054 32 15

Built 1999 to March 2000 HCT039055 32 15

Built 1995 to 1998 HCT039056 32 15

Built 1990 to 1994 HCT039057 32 15

Built 1980 to 1989 HCT039058 32 15

Built 1970 to 1979 HCT039059 32 15

Built 1960 to 1969 HCT039060 32 15

Built 1950 to 1959 HCT039061 32 15

Built 1940 to 1949 HCT039062 32 15

Built 1939 or earlier HCT039063 32 15

File 33 File Linking Fields (comma delimited)

Field name

Data

dictionary

reference

name

Max

size

Data

type

File Identification FILEID 6 A/N

State/U.S.-Abbreviation (USPS) STUSAB 2 A

Characteristic Iteration CHARITER 3 A/N

Characteristic Iteration File Sequence Number CIFSN 2 A/N

Logical Record Number LOGRECNO 7 N

HCT40. AGGREGATE HOUSEHOLD INCOME IN 1999

(DOLLARS) BY TENURE BY AGE OF

HOUSEHOLDER BY YEAR HOUSEHOLDER

MOVED INTO UNIT [45]

Universe: Occupied housing units

Aggregate household income in 1999: HCT040001 33 15

Owner occupied: HCT040002 33 15

Householder 15 to 34 years: HCT040003 33 15

Moved in 1999 to March 2000 HCT040004 33 15

Moved in 1995 to 1998 HCT040005 33 15

Moved in 1990 to 1994 HCT040006 33 15

Moved in 1980 to 1989 HCT040007 33 15

Moved in 1970 to 1979 HCT040008 33 15

Moved in 1969 or earlier HCT040009 33 15

Householder 35 to 64 years : HCT040010 33 15

Moved in 1999 to March 2000 HCT040011 33 15

Moved in 1995 to 1998 HCT040012 33 15

Moved in 1990 to 1994 HCT040013 33 15

Moved in 1980 to 1989 HCT040014 33 15

Moved in 1970 to 1979 HCT040015 33 15

Moved in 1969 or earlier HCT040016 33 15

7–222 Data Dictionary

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HCT40. AGGREGATE HOUSEHOLD INCOME IN 1999

(DOLLARS) BY TENURE BY AGE OF

HOUSEHOLDER BY YEAR HOUSEHOLDER

MOVED INTO UNIT [45]—Con.

Aggregate household income in 1999—Con.

Householder 65 years and over: HCT040017 33 15

Moved in 1999 to March 2000 HCT040018 33 15

Moved in 1995 to 1998 HCT040019 33 15

Moved in 1990 to 1994 HCT040020 33 15

Moved in 1980 to 1989 HCT040021 33 15

Moved in 1970 to 1979 HCT040022 33 15

Moved in 1969 or earlier HCT040023 33 15

Renter occupied: HCT040024 33 15

Householder 15 to 34 years: HCT040025 33 15

Moved in 1999 to March 2000 HCT040026 33 15

Moved in 1995 to 1998 HCT040027 33 15

Moved in 1990 to 1994 HCT040028 33 15

Moved in 1980 to 1989 HCT040029 33 15

Moved in 1970 to 1979 HCT040030 33 15

Moved in 1969 or earlier HCT040031 33 15

Householder 35 to 64 years : HCT040032 33 15

Moved in 1999 to March 2000 HCT040033 33 15

Moved in 1995 to 1998 HCT040034 33 15

Moved in 1990 to 1994 HCT040035 33 15

Moved in 1980 to 1989 HCT040036 33 15

Moved in 1970 to 1979 HCT040037 33 15

Moved in 1969 or earlier HCT040038 33 15

Householder 65 years and over: HCT040039 33 15

Moved in 1999 to March 2000 HCT040040 33 15

Moved in 1995 to 1998 HCT040041 33 15

Moved in 1990 to 1994 HCT040042 33 15

Moved in 1980 to 1989 HCT040043 33 15

Moved in 1970 to 1979 HCT040044 33 15

Moved in 1969 or earlier HCT040045 33 15

HCT41. TENURE BY PLUMBING FACILITIES [7]

Universe: Occupied housing units

Total: HCT041001 33 9

Owner occupied: HCT041002 33 9

Complete plumbing facilities HCT041003 33 9

Lacking complete plumbing facilities HCT041004 33 9

Renter occupied: HCT041005 33 9

Complete plumbing facilities HCT041006 33 9

Lacking complete plumbing facilities HCT041007 33 9

Data Dictionary 7–223

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HCT42. PLUMBING FACILITIES BY OCCUPANTS PER

ROOM BY YEAR STRUCTURE BUILT [43]

Universe: Occupied housing units

Total: HCT042001 33 9

Complete plumbing facilities: HCT042002 33 9

1.00 or less occupants per room: HCT042003 33 9

Built 1999 to March 2000 HCT042004 33 9

Built 1995 to 1998 HCT042005 33 9

Built 1990 to 1994 HCT042006 33 9

Built 1980 to 1989 HCT042007 33 9

Built 1970 to 1979 HCT042008 33 9

Built 1960 to 1969 HCT042009 33 9

Built 1950 to 1959 HCT042010 33 9

Built 1940 to 1949 HCT042011 33 9

Built 1939 or earlier HCT042012 33 9

1.01 or more occupants per room: HCT042013 33 9

Built 1999 to March 2000 HCT042014 33 9

Built 1995 to 1998 HCT042015 33 9

Built 1990 to 1994 HCT042016 33 9

Built 1980 to 1989 HCT042017 33 9

Built 1970 to 1979 HCT042018 33 9

Built 1960 to 1969 HCT042019 33 9

Built 1950 to 1959 HCT042020 33 9

Built 1940 to 1949 HCT042021 33 9

Built 1939 or earlier HCT042022 33 9

Lacking complete plumbing facilities: HCT042023 33 9

1.00 or less occupants per room: HCT042024 33 9

Built 1999 to March 2000 HCT042025 33 9

Built 1995 to 1998 HCT042026 33 9

Built 1990 to 1994 HCT042027 33 9

Built 1980 to 1989 HCT042028 33 9

Built 1970 to 1979 HCT042029 33 9

Built 1960 to 1969 HCT042030 33 9

Built 1950 to 1959 HCT042031 33 9

Built 1940 to 1949 HCT042032 33 9

Built 1939 or earlier HCT042033 33 9

1.01 or more occupants per room: HCT042034 33 9

Built 1999 to March 2000 HCT042035 33 9

Built 1995 to 1998 HCT042036 33 9

Built 1990 to 1994 HCT042037 33 9

Built 1980 to 1989 HCT042038 33 9

Built 1970 to 1979 HCT042039 33 9

Built 1960 to 1969 HCT042040 33 9

Built 1950 to 1959 HCT042041 33 9

Built 1940 to 1949 HCT042042 33 9

Built 1939 or earlier HCT042043 33 9

7–224 Data Dictionary

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Data

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HCT43. TENURE BY KITCHEN FACILITIES [7]

Universe: Occupied housing units

Total: HCT043001 33 9

Owner occupied: HCT043002 33 9

Complete kitchen facilities HCT043003 33 9

Lacking complete kitchen facilities HCT043004 33 9

Renter occupied: HCT043005 33 9

Complete kitchen facilities HCT043006 33 9

Lacking complete kitchen facilities HCT043007 33 9

HCT44. KITCHEN FACILITIES BY MEALS INCLUDED IN

RENT [7]

Universe: Specified renter-occupied housing units

paying cash rent

Total: HCT044001 33 9

Complete kitchen facilities: HCT044002 33 9

Meals included in rent HCT044003 33 9

No meals included in rent HCT044004 33 9

Lacking complete kitchen facilities: HCT044005 33 9

Meals included in rent HCT044006 33 9

No meals included in rent HCT044007 33 9

HCT45. AGE OF HOUSEHOLDER BY MEALS INCLUDED IN

RENT [13]

Universe: Specified renter-occupied housing units

paying cash rent

Total: HCT045001 33 9

Householder 15 to 54 years: HCT045002 33 9

Meals included in rent HCT045003 33 9

No meals included in rent HCT045004 33 9

Householder 55 to 64 years: HCT045005 33 9

Meals included in rent HCT045006 33 9

No meals included in rent HCT045007 33 9

Householder 65 to 74 years: HCT045008 33 9

Meals included in rent HCT045009 33 9

No meals included in rent HCT045010 33 9

Householder 75 years and over: HCT045011 33 9

Meals included in rent HCT045012 33 9

No meals included in rent HCT045013 33 9

Data Dictionary 7–225

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Table

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Data

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reference

name

SegmentMax

size

HCT46. CONTRACT RENT [24]

Universe: Specified renter-occupied housing units

Total: HCT046001 33 9

With cash rent: HCT046002 33 9

Less than $100 HCT046003 33 9

$100 to $149 HCT046004 33 9

$150 to $199 HCT046005 33 9

$200 to $249 HCT046006 33 9

$250 to $299 HCT046007 33 9

$300 to $349 HCT046008 33 9

$350 to $399 HCT046009 33 9

$400 to $449 HCT046010 33 9

$450 to $499 HCT046011 33 9

$500 to $549 HCT046012 33 9

$550 to $599 HCT046013 33 9

$600 to $649 HCT046014 33 9

$650 to $699 HCT046015 33 9

$700 to $749 HCT046016 33 9

$750 to $799 HCT046017 33 9

$800 to $899 HCT046018 33 9

$900 to $999 HCT046019 33 9

$1,000 to $1,249 HCT046020 33 9

$1,250 to $1,499 HCT046021 33 9

$1,500 to $1,999 HCT046022 33 9

$2,000 or more HCT046023 33 9

No cash rent HCT046024 33 9

HCT47. LOWER CONTRACT RENT QUARTILE (DOLLARS)

[1]

Universe: Specified renter-occupied housing units

paying cash rent

Lower contract rent quartile HCT047001 33 9

HCT48. MEDIAN CONTRACT RENT (DOLLARS) [1]

Universe: Specified renter-occupied housing units

paying cash rent

Median contract rent HCT048001 33 9

HCT49. UPPER CONTRACT RENT QUARTILE (DOLLARS)

[1]

Universe: Specified renter-occupied housing units

paying cash rent

Upper contract rent quartile HCT049001 33 9

HCT50. AGGREGATE CONTRACT RENT (DOLLARS) [1]

Universe: Specified renter-occupied housing units

paying cash rent

Aggregate contract rent HCT050001 33 15

7–226 Data Dictionary

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size

HCT51. GROSS RENT [24]

Universe: Specified renter-occupied housing units

Total: HCT051001 33 9

With cash rent: HCT051002 33 9

Less than $100 HCT051003 33 9

$100 to $149 HCT051004 33 9

$150 to $199 HCT051005 33 9

$200 to $249 HCT051006 33 9

$250 to $299 HCT051007 33 9

$300 to $349 HCT051008 33 9

$350 to $399 HCT051009 33 9

$400 to $449 HCT051010 33 9

$450 to $499 HCT051011 33 9

$500 to $549 HCT051012 33 9

$550 to $599 HCT051013 33 9

$600 to $649 HCT051014 33 9

$650 to $699 HCT051015 33 9

$700 to $749 HCT051016 33 9

$750 to $799 HCT051017 33 9

$800 to $899 HCT051018 33 9

$900 to $999 HCT051019 33 9

$1,000 to $1,249 HCT051020 33 9

$1,250 to $1,499 HCT051021 33 9

$1,500 to $1,999 HCT051022 33 9

$2,000 or more HCT051023 33 9

No cash rent HCT051024 33 9

HCT52. MEDIAN GROSS RENT (DOLLARS) [1]

Universe: Specified renter-occupied housing units

paying cash rent

Median gross rent HCT052001 33 9

HCT53. AGGREGATE GROSS RENT (DOLLARS) [1]

Universe: Specified renter-occupied housing units

paying cash rent

Aggregate gross rent HCT053001 33 15

HCT54. AGGREGATE GROSS RENT (DOLLARS) BY MEALS

INCLUDED IN RENT [3]

Universe: Specified renter-occupied housing units

paying cash rent

Aggregate gross rent: HCT054001 33 15

Meals included in rent HCT054002 33 15

No meals included in rent HCT054003 33 15

Data Dictionary 7–227

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size

HCT55. AGGREGATE GROSS RENT (DOLLARS) BY UNITS

IN STRUCTURE [8]

Universe: Specified renter-occupied housing units

paying cash rent

Aggregate gross rent: HCT055001 33 15

1, detached or attached HCT055002 33 15

2 to 4 HCT055003 33 15

5 to 19 HCT055004 33 15

20 to 49 HCT055005 33 15

50 or more HCT055006 33 15

Mobile home HCT055007 33 15

Boat, RV, van, etc. HCT055008 33 15

Data

dictionary Max Data

File 34 File Linking Fields (comma delimited)

Field name

Data

dictionary

reference nameMax

size

Data

type

File Identification FILEID 6 A/N

State/U.S.-Abbreviation (USPS) STUSAB 2 A

Characteristic Iteration CHARITER 3 A/N

Characteristic Iteration File Sequence Number CIFSN 2 A/N

Logical Record Number LOGRECNO 7 N

HCT56. HOUSEHOLD INCOME IN 1999 BY GROSS RENT

[120]

Universe: Specified renter-occupied housing units

Total: HCT056001 34 9

Household income in 1999 —

Less than $10,000: HCT056002 34 9

With cash rent: HCT056003 34 9

Less than $100 HCT056004 34 9

$100 to $199 HCT056005 34 9

$200 to $299 HCT056006 34 9

$300 to $399 HCT056007 34 9

$400 to $499 HCT056008 34 9

$500 to $599 HCT056009 34 9

$600 to $699 HCT056010 34 9

$700 to $799 HCT056011 34 9

$800 to $899 HCT056012 34 9

$900 to $999 HCT056013 34 9

$1,000 to $1,249 HCT056014 34 9

$1,250 to $1,499 HCT056015 34 9

$1,500 to $1,999 HCT056016 34 9

$2,000 or more HCT056017 34 9

No cash rent HCT056018 34 9

7–228 Data Dictionary

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Table

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Data

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size

HCT56. HOUSEHOLD INCOME IN 1999 BY GROSS RENT

[120]—Con.

Total—Con.

Household income in 1999—Con.

$10,000 to $19,999: HCT056019 34 9

With cash rent: HCT056020 34 9

Less than $100 HCT056021 34 9

$100 to $199 HCT056022 34 9

$200 to $299 HCT056023 34 9

$300 to $399 HCT056024 34 9

$400 to $499 HCT056025 34 9

$500 to $599 HCT056026 34 9

$600 to $699 HCT056027 34 9

$700 to $799 HCT056028 34 9

$800 to $899 HCT056029 34 9

$900 to $999 HCT056030 34 9

$1,000 to $1,249 HCT056031 34 9

$1,250 to $1,499 HCT056032 34 9

$1,500 to $1,999 HCT056033 34 9

$2,000 or more HCT056034 34 9

No cash rent HCT056035 34 9

$20,000 to $34,999: HCT056036 34 9

With cash rent: HCT056037 34 9

Less than $100 HCT056038 34 9

$100 to $199 HCT056039 34 9

$200 to $299 HCT056040 34 9

$300 to $399 HCT056041 34 9

$400 to $499 HCT056042 34 9

$500 to $599 HCT056043 34 9

$600 to $699 HCT056044 34 9

$700 to $799 HCT056045 34 9

$800 to $899 HCT056046 34 9

$900 to $999 HCT056047 34 9

$1,000 to $1,249 HCT056048 34 9

$1,250 to $1,499 HCT056049 34 9

$1,500 to $1,999 HCT056050 34 9

$2,000 or more HCT056051 34 9

No cash rent HCT056052 34 9

$35,000 to $49,999: HCT056053 34 9

With cash rent: HCT056054 34 9

Less than $100 HCT056055 34 9

$100 to $199 HCT056056 34 9

$200 to $299 HCT056057 34 9

$300 to $399 HCT056058 34 9

$400 to $499 HCT056059 34 9

$500 to $599 HCT056060 34 9

$600 to $699 HCT056061 34 9

Data Dictionary 7–229

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size

HCT56. HOUSEHOLD INCOME IN 1999 BY GROSS RENT

[120]—Con.

Total—Con.

Household income in 1999—Con.

$35,000 to $49,999—Con.

With cash rent—Con.

$700 to $799 HCT056062 34 9

$800 to $899 HCT056063 34 9

$900 to $999 HCT056064 34 9

$1,000 to $1,249 HCT056065 34 9

$1,250 to $1,499 HCT056066 34 9

$1,500 to $1,999 HCT056067 34 9

$2,000 or more HCT056068 34 9

No cash rent HCT056069 34 9

$50,000 to $74,999: HCT056070 34 9

With cash rent: HCT056071 34 9

Less than $100 HCT056072 34 9

$100 to $199 HCT056073 34 9

$200 to $299 HCT056074 34 9

$300 to $399 HCT056075 34 9

$400 to $499 HCT056076 34 9

$500 to $599 HCT056077 34 9

$600 to $699 HCT056078 34 9

$700 to $799 HCT056079 34 9

$800 to $899 HCT056080 34 9

$900 to $999 HCT056081 34 9

$1,000 to $1,249 HCT056082 34 9

$1,250 to $1,499 HCT056083 34 9

$1,500 to $1,999 HCT056084 34 9

$2,000 or more HCT056085 34 9

No cash rent HCT056086 34 9

$75,000 to $99,999: HCT056087 34 9

With cash rent: HCT056088 34 9

Less than $100 HCT056089 34 9

$100 to $199 HCT056090 34 9

$200 to $299 HCT056091 34 9

$300 to $399 HCT056092 34 9

$400 to $499 HCT056093 34 9

$500 to $599 HCT056094 34 9

$600 to $699 HCT056095 34 9

$700 to $799 HCT056096 34 9

$800 to $899 HCT056097 34 9

$900 to $999 HCT056098 34 9

$1,000 to $1,249 HCT056099 34 9

$1,250 to $1,499 HCT056100 34 9

$1,500 to $1,999 HCT056101 34 9

$2,000 or more HCT056102 34 9

No cash rent HCT056103 34 9

$100,000 or more: HCT056104 34 9

7–230 Data Dictionary

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Data

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size

HCT56. HOUSEHOLD INCOME IN 1999 BY GROSS RENT

[120]—Con.

Total—Con.

Household income in 1999—Con.

With cash rent: HCT056105 34 9

Less than $100 HCT056106 34 9

$100 to $199 HCT056107 34 9

$200 to $299 HCT056108 34 9

$300 to $399 HCT056109 34 9

$400 to $499 HCT056110 34 9

$500 to $599 HCT056111 34 9

$600 to $699 HCT056112 34 9

$700 to $799 HCT056113 34 9

$800 to $899 HCT056114 34 9

$900 to $999 HCT056115 34 9

$1,000 to $1,249 HCT056116 34 9

$1,250 to $1,499 HCT056117 34 9

$1,500 to $1,999 HCT056118 34 9

$2,000 or more HCT056119 34 9

No cash rent HCT056120 34 9

HCT57. BEDROOMS BY GROSS RENT [37]

Universe: Specified renter-occupied housing units

Total: HCT057001 34 9

No bedroom: HCT057002 34 9

With cash rent: HCT057003 34 9

Less than $200 HCT057004 34 9

$200 to $299 HCT057005 34 9

$300 to $499 HCT057006 34 9

$500 to $749 HCT057007 34 9

$750 to $999 HCT057008 34 9

$1,000 or more HCT057009 34 9

No cash rent HCT057010 34 9

1 bedroom: HCT057011 34 9

With cash rent: HCT057012 34 9

Less than $200 HCT057013 34 9

$200 to $299 HCT057014 34 9

$300 to $499 HCT057015 34 9

$500 to $749 HCT057016 34 9

$750 to $999 HCT057017 34 9

$1,000 or more HCT057018 34 9

No cash rent HCT057019 34 9

2 bedrooms: HCT057020 34 9

With cash rent: HCT057021 34 9

Less than $200 HCT057022 34 9

$200 to $299 HCT057023 34 9

$300 to $499 HCT057024 34 9

$500 to $749 HCT057025 34 9

$750 to $999 HCT057026 34 9

$1,000 or more HCT057027 34 9

No cash rent HCT057028 34 9

Data Dictionary 7–231

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HCT57. BEDROOMS BY GROSS RENT [37]—Con.

Total—Con.

3 or more bedrooms: HCT057029 34 9

With cash rent: HCT057030 34 9

Less than $200 HCT057031 34 9

$200 to $299 HCT057032 34 9

$300 to $499 HCT057033 34 9

$500 to $749 HCT057034 34 9

$750 to $999 HCT057035 34 9

$1,000 or more HCT057036 34 9

No cash rent HCT057037 34 9

HCT58. INCLUSION OF UTILITIES IN RENT [3]

Universe: Specified renter-occupied housing units

Total: HCT058001 34 9

Pay extra for one or more utilities HCT058002 34 9

No extra payment for any utilities HCT058003 34 9

HCT59. GROSS RENT AS A PERCENTAGE OF HOUSEHOLD

INCOME IN 1999 [11]

Universe: Specified renter-occupied housing units

Total: HCT059001 34 9

Less than 10 percent HCT059002 34 9

10 to 14 percent HCT059003 34 9

15 to 19 percent HCT059004 34 9

20 to 24 percent HCT059005 34 9

25 to 29 percent HCT059006 34 9

30 to 34 percent HCT059007 34 9

35 to 39 percent HCT059008 34 9

40 to 49 percent HCT059009 34 9

50 percent or more HCT059010 34 9

Not computed HCT059011 34 9

HCT60. MEDIAN GROSS RENT AS A PERCENTAGE OF

HOUSEHOLD INCOME IN 1999 [1]

(1 expressed decimal)

Universe: Specified renter-occupied housing units

paying cash rent

Median gross rent as a percentage of household

income in 1999 HCT060001 34 9

7–232 Data Dictionary

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HCT61. AGE OF HOUSEHOLDER BY GROSS RENT AS A

PERCENTAGE OF HOUSEHOLD INCOME IN 1999

[50]

Universe: Specified renter-occupied housing units

Total: HCT061001 34 9

Householder 15 to 24 years: HCT061002 34 9

Less than 20 percent HCT061003 34 9

20 to 24 percent HCT061004 34 9

25 to 29 percent HCT061005 34 9

30 to 34 percent HCT061006 34 9

35 percent or more HCT061007 34 9

Not computed HCT061008 34 9

Householder 25 to 34 years: HCT061009 34 9

Less than 20 percent HCT061010 34 9

20 to 24 percent HCT061011 34 9

25 to 29 percent HCT061012 34 9

30 to 34 percent HCT061013 34 9

35 percent or more HCT061014 34 9

Not computed HCT061015 34 9

Householder 35 to 44 years: HCT061016 34 9

Less than 20 percent HCT061017 34 9

20 to 24 percent HCT061018 34 9

25 to 29 percent HCT061019 34 9

30 to 34 percent HCT061020 34 9

35 percent or more HCT061021 34 9

Not computed HCT061022 34 9

Householder 45 to 54 years: HCT061023 34 9

Less than 20 percent HCT061024 34 9

20 to 24 percent HCT061025 34 9

25 to 29 percent HCT061026 34 9

30 to 34 percent HCT061027 34 9

35 percent or more HCT061028 34 9

Not computed HCT061029 34 9

Householder 55 to 64 years: HCT061030 34 9

Less than 20 percent HCT061031 34 9

20 to 24 percent HCT061032 34 9

25 to 29 percent HCT061033 34 9

30 to 34 percent HCT061034 34 9

35 percent or more HCT061035 34 9

Not computed HCT061036 34 9

Householder 65 to 74 years: HCT061037 34 9

Less than 20 percent HCT061038 34 9

20 to 24 percent HCT061039 34 9

25 to 29 percent HCT061040 34 9

30 to 34 percent HCT061041 34 9

35 percent or more HCT061042 34 9

Not computed HCT061043 34 9

Data Dictionary 7–233

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HCT61. AGE OF HOUSEHOLDER BY GROSS RENT AS A

PERCENTAGE OF HOUSEHOLD INCOME IN 1999

[50]—Con.

Total—Con.

Householder 75 years and over: HCT061044 34 9

Less than 20 percent HCT061045 34 9

20 to 24 percent HCT061046 34 9

25 to 29 percent HCT061047 34 9

30 to 34 percent HCT061048 34 9

35 percent or more HCT061049 34 9

Not computed HCT061050 34 9

File 35 File Linking Fields (comma delimited)

Field name

Data

dictionary

reference name Max

size

Data

type

File Identification FILEID 6 A/N

State/U.S.-Abbreviation (USPS) STUSAB 2 A

Characteristic Iteration CHARITER 3 A/N

Characteristic Iteration File Sequence Number CIFSN 2 A/N

Logical Record Number LOGRECNO 7 N

HCT62. UNITS IN STRUCTURE BY GROSS RENT AS A

PERCENTAGE OF HOUSEHOLD INCOME IN 1999

[50]

Universe: Specified renter-occupied housing units

Total: HCT062001 35 9

1, detached or attached: HCT062002 35 9

Less than 20 percent HCT062003 35 9

20 to 24 percent HCT062004 35 9

25 to 29 percent HCT062005 35 9

30 to 34 percent HCT062006 35 9

35 percent or more HCT062007 35 9

Not computed HCT062008 35 9

2 to 4: HCT062009 35 9

Less than 20 percent HCT062010 35 9

20 to 24 percent HCT062011 35 9

25 to 29 percent HCT062012 35 9

30 to 34 percent HCT062013 35 9

35 percent or more HCT062014 35 9

Not computed HCT062015 35 9

5 to 19: HCT062016 35 9

Less than 20 percent HCT062017 35 9

20 to 24 percent HCT062018 35 9

25 to 29 percent HCT062019 35 9

30 to 34 percent HCT062020 35 9

35 percent or more HCT062021 35 9

Not computed HCT062022 35 9

7–234 Data Dictionary

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HCT62. UNITS IN STRUCTURE BY GROSS RENT AS A

PERCENTAGE OF HOUSEHOLD INCOME IN 1999

[50]—Con.

Total—Con.

20 to 49: HCT062023 35 9

Less than 20 percent HCT062024 35 9

20 to 24 percent HCT062025 35 9

25 to 29 percent HCT062026 35 9

30 to 34 percent HCT062027 35 9

35 percent or more HCT062028 35 9

Not computed HCT062029 35 9

50 or more: HCT062030 35 9

Less than 20 percent HCT062031 35 9

20 to 24 percent HCT062032 35 9

25 to 29 percent HCT062033 35 9

30 to 34 percent HCT062034 35 9

35 percent or more HCT062035 35 9

Not computed HCT062036 35 9

Mobile home: HCT062037 35 9

Less than 20 percent HCT062038 35 9

20 to 24 percent HCT062039 35 9

25 to 29 percent HCT062040 35 9

30 to 34 percent HCT062041 35 9

35 percent or more HCT062042 35 9

Not computed HCT062043 35 9

Boat, RV, van, etc.: HCT062044 35 9

Less than 20 percent HCT062045 35 9

20 to 24 percent HCT062046 35 9

25 to 29 percent HCT062047 35 9

30 to 34 percent HCT062048 35 9

35 percent or more HCT062049 35 9

Not computed HCT062050 35 9

HCT63. HOUSEHOLD INCOME IN 1999 BY GROSS RENT

AS A PERCENTAGE OF HOUSEHOLD INCOME IN

1999 [50]

Universe: Specified renter-occupied housing units

Total: HCT063001 35 9

Less than $10,000: HCT063002 35 9

Less than 20 percent HCT063003 35 9

20 to 24 percent HCT063004 35 9

25 to 29 percent HCT063005 35 9

30 to 34 percent HCT063006 35 9

35 percent or more HCT063007 35 9

Not computed HCT063008 35 9

Data Dictionary 7–235

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HCT63. HOUSEHOLD INCOME IN 1999 BY GROSS RENT

AS A PERCENTAGE OF HOUSEHOLD INCOME IN

1999 [50]—Con.

Total—Con.

$10,000 to $19,999: HCT063009 35 9

Less than 20 percent HCT063010 35 9

20 to 24 percent HCT063011 35 9

25 to 29 percent HCT063012 35 9

30 to 34 percent HCT063013 35 9

35 percent or more HCT063014 35 9

Not computed HCT063015 35 9

$20,000 to $34,999: HCT063016 35 9

Less than 20 percent HCT063017 35 9

20 to 24 percent HCT063018 35 9

25 to 29 percent HCT063019 35 9

30 to 34 percent HCT063020 35 9

35 percent or more HCT063021 35 9

Not computed HCT063022 35 9

$35,000 to $49,999: HCT063023 35 9

Less than 20 percent HCT063024 35 9

20 to 24 percent HCT063025 35 9

25 to 29 percent HCT063026 35 9

30 to 34 percent HCT063027 35 9

35 percent or more HCT063028 35 9

Not computed HCT063029 35 9

$50,000 to $74,999: HCT063030 35 9

Less than 20 percent HCT063031 35 9

20 to 24 percent HCT063032 35 9

25 to 29 percent HCT063033 35 9

30 to 34 percent HCT063034 35 9

35 percent or more HCT063035 35 9

Not computed HCT063036 35 9

$75,000 to $99,999: HCT063037 35 9

Less than 20 percent HCT063038 35 9

20 to 24 percent HCT063039 35 9

25 to 29 percent HCT063040 35 9

30 to 34 percent HCT063041 35 9

35 percent or more HCT063042 35 9

Not computed HCT063043 35 9

$100,000 or more: HCT063044 35 9

Less than 20 percent HCT063045 35 9

20 to 24 percent HCT063046 35 9

25 to 29 percent HCT063047 35 9

30 to 34 percent HCT063048 35 9

35 percent or more HCT063049 35 9

Not computed HCT063050 35 9

7–236 Data Dictionary

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HCT64. VALUE FOR SPECIFIED OWNER-OCCUPIED

HOUSING UNITS [25]

Universe: Specified owner-occupied housing units

Total: HCT064001 35 9

Less than $10,000 HCT064002 35 9

$10,000 to $14,999 HCT064003 35 9

$15,000 to $19,999 HCT064004 35 9

$20,000 to $24,999 HCT064005 35 9

$25,000 to $29,999 HCT064006 35 9

$30,000 to $34,999 HCT064007 35 9

$35,000 to $39,999 HCT064008 35 9

$40,000 to $49,999 HCT064009 35 9

$50,000 to $59,999 HCT064010 35 9

$60,000 to $69,999 HCT064011 35 9

$70,000 to $79,999 HCT064012 35 9

$80,000 to $89,999 HCT064013 35 9

$90,000 to $99,999 HCT064014 35 9

$100,000 to $124,999 HCT064015 35 9

$125,000 to $149,999 HCT064016 35 9

$150,000 to $174,999 HCT064017 35 9

$175,000 to $199,999 HCT064018 35 9

$200,000 to $249,999 HCT064019 35 9

$250,000 to $299,999 HCT064020 35 9

$300,000 to $399,999 HCT064021 35 9

$400,000 to $499,999 HCT064022 35 9

$500,000 to $749,999 HCT064023 35 9

$750,000 to $999,999 HCT064024 35 9

$1,000,000 or more HCT064025 35 9

HCT65. LOWER VALUE QUARTILE (DOLLARS) FOR

SPECIFIED OWNER-OCCUPIED HOUSING UNITS

[1]

Universe: Specified owner-occupied housing units

Lower value quartile HCT065001 35 9

HCT66. MEDIAN VALUE (DOLLARS) FOR SPECIFIED

OWNER-OCCUPIED HOUSING UNITS [1]

Universe: Specified owner-occupied housing units

Median value HCT066001 35 9

HCT67. UPPER VALUE QUARTILE (DOLLARS) FOR

SPECIFIED OWNER-OCCUPIED HOUSING UNITS

[1]

Universe: Specified owner-occupied housing units

Upper value quartile HCT067001 35 9

HCT68. MEDIAN VALUE (DOLLARS) FOR MOBILE HOMES

[1]

Universe: Owner-occupied mobile homes

Median value HCT068001 35 9

Data Dictionary 7–237

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HCT69. AGGREGATE VALUE (DOLLARS) FOR SPECIFIED

OWNER-OCCUPIED HOUSING UNITS BY AGE OF

HOUSEHOLDER [8]

Universe: Specified owner-occupied housing units

Aggregate value: HCT069001 35 15

Householder 15 to 24 years HCT069002 35 15

Householder 25 to 34 years HCT069003 35 15

Householder 35 to 44 years HCT069004 35 15

Householder 45 to 54 years HCT069005 35 15

Householder 55 to 64 years HCT069006 35 15

Householder 65 to 74 years HCT069007 35 15

Householder 75 years and over HCT069008 35 15

HCT70. AGGREGATE VALUE (DOLLARS) FOR ALL

OWNER-OCCUPIED HOUSING UNITS BY UNITS IN

STRUCTURE [8]

Universe: Owner-occupied housing units

Aggregate value: HCT070001 35 15

1, detached HCT070002 35 15

1, attached HCT070003 35 15

2 HCT070004 35 15

3 or 4 HCT070005 35 15

5 or more HCT070006 35 15

Mobile home HCT070007 35 15

Boat, RV, van, etc. HCT070008 35 15

File 36 File Linking Fields (comma delimited)

Field name

Data

dictionary

reference nameMax

size

Data

type

File Identification FILEID 6 A/N

State/U.S.-Abbreviation (USPS) STUSAB 2 A

Characteristic Iteration CHARITER 3 A/N

Characteristic Iteration File Sequence Number CIFSN 2 A/N

Logical Record Number LOGRECNO 7 N

7–238 Data Dictionary

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HCT71. HOUSEHOLD INCOME IN 1999 BY VALUE FOR

SPECIFIED OWNER-OCCUPIED HOUSING UNITS

[106]

Universe: Specified owner-occupied housing units

Total: HCT071001 36 9

Household income in 1999 —

Less than $10,000: HCT071002 36 9

Value less than $10,000 HCT071003 36 9

Value $10,000 to $19,999 HCT071004 36 9

Value $20,000 to $29,999 HCT071005 36 9

Value $30,000 to $39,999 HCT071006 36 9

Value $40,000 to $49,999 HCT071007 36 9

Value $50,000 to $59,999 HCT071008 36 9

Value $60,000 to $69,999 HCT071009 36 9

Value $70,000 to $79,999 HCT071010 36 9

Value $80,000 to $89,999 HCT071011 36 9

Value $90,000 to $99,999 HCT071012 36 9

Value $100,000 to $199,999 HCT071013 36 9

Value $200,000 to $299,999 HCT071014 36 9

Value $300,000 to $499,999 HCT071015 36 9

Value $500,000 or more HCT071016 36 9

$10,000 to $19,999: HCT071017 36 9

Value less than $10,000 HCT071018 36 9

Value $10,000 to $19,999 HCT071019 36 9

Value $20,000 to $29,999 HCT071020 36 9

Value $30,000 to $39,999 HCT071021 36 9

Value $40,000 to $49,999 HCT071022 36 9

Value $50,000 to $59,999 HCT071023 36 9

Value $60,000 to $69,999 HCT071024 36 9

Value $70,000 to $79,999 HCT071025 36 9

Value $80,000 to $89,999 HCT071026 36 9

Value $90,000 to $99,999 HCT071027 36 9

Value $100,000 to $199,999 HCT071028 36 9

Value $200,000 to $299,999 HCT071029 36 9

Value $300,000 to $499,999 HCT071030 36 9

Value $500,000 or more HCT071031 36 9

$20,000 to $34,999: HCT071032 36 9

Value less than $10,000 HCT071033 36 9

Value $10,000 to $19,999 HCT071034 36 9

Value $20,000 to $29,999 HCT071035 36 9

Value $30,000 to $39,999 HCT071036 36 9

Value $40,000 to $49,999 HCT071037 36 9

Value $50,000 to $59,999 HCT071038 36 9

Value $60,000 to $69,999 HCT071039 36 9

Value $70,000 to $79,999 HCT071040 36 9

Value $80,000 to $89,999 HCT071041 36 9

Value $90,000 to $99,999 HCT071042 36 9

Value $100,000 to $199,999 HCT071043 36 9

Value $200,000 to $299,999 HCT071044 36 9

Value $300,000 to $499,999 HCT071045 36 9

Value $500,000 or more HCT071046 36 9

Data Dictionary 7–239

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size

HCT71. HOUSEHOLD INCOME IN 1999 BY VALUE FOR

SPECIFIED OWNER-OCCUPIED HOUSING UNITS

[106]—Con.

Total—Con.

Household income in 1999—Con.

$35,000 to $49,999: HCT071047 36 9

Value less than $10,000 HCT071048 36 9

Value $10,000 to $19,999 HCT071049 36 9

Value $20,000 to $29,999 HCT071050 36 9

Value $30,000 to $39,999 HCT071051 36 9

Value $40,000 to $49,999 HCT071052 36 9

Value $50,000 to $59,999 HCT071053 36 9

Value $60,000 to $69,999 HCT071054 36 9

Value $70,000 to $79,999 HCT071055 36 9

Value $80,000 to $89,999 HCT071056 36 9

Value $90,000 to $99,999 HCT071057 36 9

Value $100,000 to $199,999 HCT071058 36 9

Value $200,000 to $299,999 HCT071059 36 9

Value $300,000 to $499,999 HCT071060 36 9

Value $500,000 or more HCT071061 36 9

$50,000 to $74,999: HCT071062 36 9

Value less than $10,000 HCT071063 36 9

Value $10,000 to $19,999 HCT071064 36 9

Value $20,000 to $29,999 HCT071065 36 9

Value $30,000 to $39,999 HCT071066 36 9

Value $40,000 to $49,999 HCT071067 36 9

Value $50,000 to $59,999 HCT071068 36 9

Value $60,000 to $69,999 HCT071069 36 9

Value $70,000 to $79,999 HCT071070 36 9

Value $80,000 to $89,999 HCT071071 36 9

Value $90,000 to $99,999 HCT071072 36 9

Value $100,000 to $199,999 HCT071073 36 9

Value $200,000 to $299,999 HCT071074 36 9

Value $300,000 to $499,999 HCT071075 36 9

Value $500,000 or more HCT071076 36 9

$75,000 to $99,999: HCT071077 36 9

Value less than $10,000 HCT071078 36 9

Value $10,000 to $19,999 HCT071079 36 9

Value $20,000 to $29,999 HCT071080 36 9

Value $30,000 to $39,999 HCT071081 36 9

Value $40,000 to $49,999 HCT071082 36 9

Value $50,000 to $59,999 HCT071083 36 9

Value $60,000 to $69,999 HCT071084 36 9

Value $70,000 to $79,999 HCT071085 36 9

Value $80,000 to $89,999 HCT071086 36 9

Value $90,000 to $99,999 HCT071087 36 9

Value $100,000 to $199,999 HCT071088 36 9

Value $200,000 to $299,999 HCT071089 36 9

Value $300,000 to $499,999 HCT071090 36 9

Value $500,000 or more HCT071091 36 9

7–240 Data Dictionary

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size

HCT71. HOUSEHOLD INCOME IN 1999 BY VALUE FOR

SPECIFIED OWNER-OCCUPIED HOUSING UNITS

[106]—Con.

Total—Con.

Household income in 1999—Con.

$100,000 or more: HCT071092 36 9

Value less than $10,000 HCT071093 36 9

Value $10,000 to $19,999 HCT071094 36 9

Value $20,000 to $29,999 HCT071095 36 9

Value $30,000 to $39,999 HCT071096 36 9

Value $40,000 to $49,999 HCT071097 36 9

Value $50,000 to $59,999 HCT071098 36 9

Value $60,000 to $69,999 HCT071099 36 9

Value $70,000 to $79,999 HCT071100 36 9

Value $80,000 to $89,999 HCT071101 36 9

Value $90,000 to $99,999 HCT071102 36 9

Value $100,000 to $199,999 HCT071103 36 9

Value $200,000 to $299,999 HCT071104 36 9

Value $300,000 to $499,999 HCT071105 36 9

Value $500,000 or more HCT071106 36 9

HCT72. MORTGAGE STATUS [8]

Universe: Specified owner-occupied housing units

Total: HCT072001 36 9

Housing units with a mortgage, contract to

purchase, or similar debt: HCT072002 36 9

With either a second mortgage or home equity

loan, but not both: HCT072003 36 9

Second mortgage only HCT072004 36 9

Home equity loan only HCT072005 36 9

Both second mortgage and home equity loan HCT072006 36 9

No second mortgage and no home equity loan HCT072007 36 9

Housing units without a mortgage HCT072008 36 9

HCT73. AGGREGATE VALUE (DOLLARS) FOR SPECIFIED

OWNER-OCCUPIED HOUSING UNITS BY

MORTGAGE STATUS [3]

Universe: Specified owner-occupied housing units

Aggregate value: HCT073001 36 15

Housing units with a mortgage HCT073002 36 15

Housing units without a mortgage HCT073003 36 15

HCT74. AGGREGATE VALUE (DOLLARS) FOR MOBILE

HOMES BY MORTGAGE STATUS [3]

Universe: Owner-occupied mobile homes

Aggregate value: HCT074001 36 15

Mobile homes with a mortgage HCT074002 36 15

Mobile homes without a mortgage HCT074003 36 15

Data Dictionary 7–241

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HCT75. MORTGAGE STATUS AND SELECTED MONTHLY

OWNER COSTS FOR SPECIFIED OWNEROCCUPIED HOUSING UNITS [32]

Universe: Specified owner-occupied housing units

Total: HCT075001 36 9

Housing units with a mortgage: HCT075002 36 9

Less than $200 HCT075003 36 9

$200 to $299 HCT075004 36 9

$300 to $399 HCT075005 36 9

$400 to $499 HCT075006 36 9

$500 to $599 HCT075007 36 9

$600 to $699 HCT075008 36 9

$700 to $799 HCT075009 36 9

$800 to $899 HCT075010 36 9

$900 to $999 HCT075011 36 9

$1,000 to $1,249 HCT075012 36 9

$1,250 to $1,499 HCT075013 36 9

$1,500 to $1,999 HCT075014 36 9

$2,000 to $2,499 HCT075015 36 9

$2,500 to $2,999 HCT075016 36 9

$3,000 or more HCT075017 36 9

Housing units without a mortgage: HCT075018 36 9

Less than $100 HCT075019 36 9

$100 to $149 HCT075020 36 9

$150 to $199 HCT075021 36 9

$200 to $249 HCT075022 36 9

$250 to $299 HCT075023 36 9

$300 to $349 HCT075024 36 9

$350 to $399 HCT075025 36 9

$400 to $499 HCT075026 36 9

$500 to $599 HCT075027 36 9

$600 to $699 HCT075028 36 9

$700 to $799 HCT075029 36 9

$800 to $899 HCT075030 36 9

$900 to $999 HCT075031 36 9

$1,000 or more HCT075032 36 9

HCT76. MEDIAN SELECTED MONTHLY OWNER COSTS

(DOLLARS) FOR SPECIFIED OWNER- OCCUPIED

HOUSING UNITS BY MORTGAGE STATUS [2]

Universe: Specified owner-occupied housing units

Median selected monthly owner costs for —

Housing units with a mortgage HCT076001 36 9

Housing units without a mortgage HCT076002 36 9

7–242 Data Dictionary

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HCT77. AGGREGATE SELECTED MONTHLY OWNER

COSTS (DOLLARS) FOR SPECIFIED OWNEROCCUPIED HOUSING UNITS BY MORTGAGE

STATUS [3]

Universe: Specified owner-occupied housing units

Aggregate selected monthly owner costs: HCT077001 36 15

Housing units with a mortgage HCT077002 36 15

Housing units without a mortgage HCT077003 36 15

HCT78. AGGREGATE SELECTED MONTHLY OWNER

COSTS (DOLLARS) FOR MOBILE HOMES BY

MORTGAGE STATUS [3]

Universe: Owner-occupied mobile homes

Aggregate selected monthly owner costs: HCT078001 36 15

Mobile homes with a mortgage HCT078002 36 15

Mobile homes without a mortgage HCT078003 36 15

HCT79. MORTGAGE STATUS BY SELECTED MONTHLY

OWNER COSTS AS A PERCENTAGE OF

HOUSEHOLD INCOME IN 1999 [23]

Universe: Specified owner-occupied housing units

Total: HCT079001 36 9

Housing units with a mortgage: HCT079002 36 9

Less than 10 percent HCT079003 36 9

10 to 14 percent HCT079004 36 9

15 to 19 percent HCT079005 36 9

20 to 24 percent HCT079006 36 9

25 to 29 percent HCT079007 36 9

30 to 34 percent HCT079008 36 9

35 to 39 percent HCT079009 36 9

40 to 49 percent HCT079010 36 9

50 percent or more HCT079011 36 9

Not computed HCT079012 36 9

Housing units without a mortgage: HCT079013 36 9

Less than 10 percent HCT079014 36 9

10 to 14 percent HCT079015 36 9

15 to 19 percent HCT079016 36 9

20 to 24 percent HCT079017 36 9

25 to 29 percent HCT079018 36 9

30 to 34 percent HCT079019 36 9

35 to 39 percent HCT079020 36 9

40 to 49 percent HCT079021 36 9

50 percent or more HCT079022 36 9

Not computed HCT079023 36 9

Data Dictionary 7–243

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HCT80. MEDIAN SELECTED MONTHLY OWNER COSTS AS

A PERCENTAGE OF HOUSEHOLD INCOME IN

1999 AND MORTGAGE STATUS [3]

(1 expressed decimal)

Universe: Specified owner-occupied housing units

Median selected monthly owner costs as a

percentage of household income in 1999 —

Total HCT080001 36 9

Housing units with a mortgage HCT080002 36 9

Housing units without a mortgage HCT080003 36 9

HCT81. AGE OF HOUSEHOLDER BY SELECTED MONTHLY

OWNER COSTS AS A PERCENTAGE OF

HOUSEHOLD INCOME IN 1999 [50]

Universe: Specified owner-occupied housing units

Total: HCT081001 36 9

Householder 15 to 24 years: HCT081002 36 9

Less than 20 percent HCT081003 36 9

20 to 24 percent HCT081004 36 9

25 to 29 percent HCT081005 36 9

30 to 34 percent HCT081006 36 9

35 percent or more HCT081007 36 9

Not computed HCT081008 36 9

Householder 25 to 34 years: HCT081009 36 9

Less than 20 percent HCT081010 36 9

20 to 24 percent HCT081011 36 9

25 to 29 percent HCT081012 36 9

30 to 34 percent HCT081013 36 9

35 percent or more HCT081014 36 9

Not computed HCT081015 36 9

Householder 35 to 44 years: HCT081016 36 9

Less than 20 percent HCT081017 36 9

20 to 24 percent HCT081018 36 9

25 to 29 percent HCT081019 36 9

30 to 34 percent HCT081020 36 9

35 percent or more HCT081021 36 9

Not computed HCT081022 36 9

Householder 45 to 54 years: HCT081023 36 9

Less than 20 percent HCT081024 36 9

20 to 24 percent HCT081025 36 9

25 to 29 percent HCT081026 36 9

30 to 34 percent HCT081027 36 9

35 percent or more HCT081028 36 9

Not computed HCT081029 36 9

Householder 55 to 64 years: HCT081030 36 9

Less than 20 percent HCT081031 36 9

20 to 24 percent HCT081032 36 9

25 to 29 percent HCT081033 36 9

30 to 34 percent HCT081034 36 9

35 percent or more HCT081035 36 9

Not computed HCT081036 36 9

7–244 Data Dictionary

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HCT81. AGE OF HOUSEHOLDER BY SELECTED MONTHLY

OWNER COSTS AS A PERCENTAGE OF

HOUSEHOLD INCOME IN 1999 [50]—Con.

Total—Con.

Householder 65 to 74 years: HCT081037 36 9

Less than 20 percent HCT081038 36 9

20 to 24 percent HCT081039 36 9

25 to 29 percent HCT081040 36 9

30 to 34 percent HCT081041 36 9

35 percent or more HCT081042 36 9

Not computed HCT081043 36 9

Householder 75 years and over: HCT081044 36 9

Less than 20 percent HCT081045 36 9

20 to 24 percent HCT081046 36 9

25 to 29 percent HCT081047 36 9

30 to 34 percent HCT081048 36 9

35 percent or more HCT081049 36 9

Not computed HCT081050 36 9

File 37 File Linking Fields (comma delimited)

Field name

Data

dictionary

reference nameMax

size

Data

type

File Identification FILEID 6 A/N

State/U.S.-Abbreviation (USPS) STUSAB 2 A

Characteristic Iteration CHARITER 3 A/N

Characteristic Iteration File Sequence Number CIFSN 2 A/N

Logical Record Number LOGRECNO 7 N

HCT82. HOUSEHOLD INCOME IN 1999 BY SELECTED

MONTHLY OWNER COSTS AS A PERCENTAGE OF

HOUSEHOLD INCOME IN 1999 [57]

Universe: Specified owner-occupied housing units

Total: HCT082001 37 9

Less than $10,000: HCT082002 37 9

Less than 20 percent HCT082003 37 9

20 to 24 percent HCT082004 37 9

25 to 29 percent HCT082005 37 9

30 to 34 percent HCT082006 37 9

35 percent or more HCT082007 37 9

Not computed HCT082008 37 9

$10,000 to $19,999: HCT082009 37 9

Less than 20 percent HCT082010 37 9

20 to 24 percent HCT082011 37 9

25 to 29 percent HCT082012 37 9

30 to 34 percent HCT082013 37 9

35 percent or more HCT082014 37 9

Not computed HCT082015 37 9

Data Dictionary 7–245

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HCT82. HOUSEHOLD INCOME IN 1999 BY SELECTED

MONTHLY OWNER COSTS AS A PERCENTAGE OF

HOUSEHOLD INCOME IN 1999 [57]—Con.

Total—Con.

$20,000 to $34,999: HCT082016 37 9

Less than 20 percent HCT082017 37 9

20 to 24 percent HCT082018 37 9

25 to 29 percent HCT082019 37 9

30 to 34 percent HCT082020 37 9

35 percent or more HCT082021 37 9

Not computed HCT082022 37 9

$35,000 to $49,999: HCT082023 37 9

Less than 20 percent HCT082024 37 9

20 to 24 percent HCT082025 37 9

25 to 29 percent HCT082026 37 9

30 to 34 percent HCT082027 37 9

35 percent or more HCT082028 37 9

Not computed HCT082029 37 9

$50,000 to $74,999: HCT082030 37 9

Less than 20 percent HCT082031 37 9

20 to 24 percent HCT082032 37 9

25 to 29 percent HCT082033 37 9

30 to 34 percent HCT082034 37 9

35 percent or more HCT082035 37 9

Not computed HCT082036 37 9

$75,000 to $99,999: HCT082037 37 9

Less than 20 percent HCT082038 37 9

20 to 24 percent HCT082039 37 9

25 to 29 percent HCT082040 37 9

30 to 34 percent HCT082041 37 9

35 percent or more HCT082042 37 9

Not computed HCT082043 37 9

$100,000 to $149,999: HCT082044 37 9

Less than 20 percent HCT082045 37 9

20 to 24 percent HCT082046 37 9

25 to 29 percent HCT082047 37 9

30 to 34 percent HCT082048 37 9

35 percent or more HCT082049 37 9

Not computed HCT082050 37 9

$150,000 or more: HCT082051 37 9

Less than 20 percent HCT082052 37 9

20 to 24 percent HCT082053 37 9

25 to 29 percent HCT082054 37 9

30 to 34 percent HCT082055 37 9

35 percent or more HCT082056 37 9

Not computed HCT082057 37 9

7–246 Data Dictionary

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HCT83. TENURE BY AGE OF HOUSEHOLDER BY YEAR

STRUCTURE BUILT [143]

Universe: Occupied housing units

Total: HCT083001 37 9

Owner occupied: HCT083002 37 9

Householder 15 to 24 years: HCT083003 37 9

Built 1999 to March 2000 HCT083004 37 9

Built 1995 to 1998 HCT083005 37 9

Built 1990 to 1994 HCT083006 37 9

Built 1980 to 1989 HCT083007 37 9

Built 1970 to 1979 HCT083008 37 9

Built 1960 to 1969 HCT083009 37 9

Built 1950 to 1959 HCT083010 37 9

Built 1940 to 1949 HCT083011 37 9

Built 1939 or earlier HCT083012 37 9

Householder 25 to 34 years: HCT083013 37 9

Built 1999 to March 2000 HCT083014 37 9

Built 1995 to 1998 HCT083015 37 9

Built 1990 to 1994 HCT083016 37 9

Built 1980 to 1989 HCT083017 37 9

Built 1970 to 1979 HCT083018 37 9

Built 1960 to 1969 HCT083019 37 9

Built 1950 to 1959 HCT083020 37 9

Built 1940 to 1949 HCT083021 37 9

Built 1939 or earlier HCT083022 37 9

Householder 35 to 44 years: HCT083023 37 9

Built 1999 to March 2000 HCT083024 37 9

Built 1995 to 1998 HCT083025 37 9

Built 1990 to 1994 HCT083026 37 9

Built 1980 to 1989 HCT083027 37 9

Built 1970 to 1979 HCT083028 37 9

Built 1960 to 1969 HCT083029 37 9

Built 1950 to 1959 HCT083030 37 9

Built 1940 to 1949 HCT083031 37 9

Built 1939 or earlier HCT083032 37 9

Householder 45 to 54 years: HCT083033 37 9

Built 1999 to March 2000 HCT083034 37 9

Built 1995 to 1998 HCT083035 37 9

Built 1990 to 1994 HCT083036 37 9

Built 1980 to 1989 HCT083037 37 9

Built 1970 to 1979 HCT083038 37 9

Built 1960 to 1969 HCT083039 37 9

Built 1950 to 1959 HCT083040 37 9

Built 1940 to 1949 HCT083041 37 9

Built 1939 or earlier HCT083042 37 9

Data Dictionary 7–247

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HCT83. TENURE BY AGE OF HOUSEHOLDER BY YEAR

STRUCTURE BUILT [143]—Con.

Total—Con.

Owner occupied—Con.

Householder 55 to 64 years: HCT083043 37 9

Built 1999 to March 2000 HCT083044 37 9

Built 1995 to 1998 HCT083045 37 9

Built 1990 to 1994 HCT083046 37 9

Built 1980 to 1989 HCT083047 37 9

Built 1970 to 1979 HCT083048 37 9

Built 1960 to 1969 HCT083049 37 9

Built 1950 to 1959 HCT083050 37 9

Built 1940 to 1949 HCT083051 37 9

Built 1939 or earlier HCT083052 37 9

Householder 65 to 74 years: HCT083053 37 9

Built 1999 to March 2000 HCT083054 37 9

Built 1995 to 1998 HCT083055 37 9

Built 1990 to 1994 HCT083056 37 9

Built 1980 to 1989 HCT083057 37 9

Built 1970 to 1979 HCT083058 37 9

Built 1960 to 1969 HCT083059 37 9

Built 1950 to 1959 HCT083060 37 9

Built 1940 to 1949 HCT083061 37 9

Built 1939 or earlier HCT083062 37 9

Householder 75 years and over: HCT083063 37 9

Built 1999 to March 2000 HCT083064 37 9

Built 1995 to 1998 HCT083065 37 9

Built 1990 to 1994 HCT083066 37 9

Built 1980 to 1989 HCT083067 37 9

Built 1970 to 1979 HCT083068 37 9

Built 1960 to 1969 HCT083069 37 9

Built 1950 to 1959 HCT083070 37 9

Built 1940 to 1949 HCT083071 37 9

Built 1939 or earlier HCT083072 37 9

Renter occupied: HCT083073 37 9

Householder 15 to 24 years: HCT083074 37 9

Built 1999 to March 2000 HCT083075 37 9

Built 1995 to 1998 HCT083076 37 9

Built 1990 to 1994 HCT083077 37 9

Built 1980 to 1989 HCT083078 37 9

Built 1970 to 1979 HCT083079 37 9

Built 1960 to 1969 HCT083080 37 9

Built 1950 to 1959 HCT083081 37 9

Built 1940 to 1949 HCT083082 37 9

Built 1939 or earlier HCT083083 37 9

7–248 Data Dictionary

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HCT83. TENURE BY AGE OF HOUSEHOLDER BY YEAR

STRUCTURE BUILT [143]—Con.

Total—Con.

Renter occupied—Con.

Householder 25 to 34 years: HCT083084 37 9

Built 1999 to March 2000 HCT083085 37 9

Built 1995 to 1998 HCT083086 37 9

Built 1990 to 1994 HCT083087 37 9

Built 1980 to 1989 HCT083088 37 9

Built 1970 to 1979 HCT083089 37 9

Built 1960 to 1969 HCT083090 37 9

Built 1950 to 1959 HCT083091 37 9

Built 1940 to 1949 HCT083092 37 9

Built 1939 or earlier HCT083093 37 9

Householder 35 to 44 years: HCT083094 37 9

Built 1999 to March 2000 HCT083095 37 9

Built 1995 to 1998 HCT083096 37 9

Built 1990 to 1994 HCT083097 37 9

Built 1980 to 1989 HCT083098 37 9

Built 1970 to 1979 HCT083099 37 9

Built 1960 to 1969 HCT083100 37 9

Built 1950 to 1959 HCT083101 37 9

Built 1940 to 1949 HCT083102 37 9

Built 1939 or earlier HCT083103 37 9

Householder 45 to 54 years: HCT083104 37 9

Built 1999 to March 2000 HCT083105 37 9

Built 1995 to 1998 HCT083106 37 9

Built 1990 to 1994 HCT083107 37 9

Built 1980 to 1989 HCT083108 37 9

Built 1970 to 1979 HCT083109 37 9

Built 1960 to 1969 HCT083110 37 9

Built 1950 to 1959 HCT083111 37 9

Built 1940 to 1949 HCT083112 37 9

Built 1939 or earlier HCT083113 37 9

Householder 55 to 64 years: HCT083114 37 9

Built 1999 to March 2000 HCT083115 37 9

Built 1995 to 1998 HCT083116 37 9

Built 1990 to 1994 HCT083117 37 9

Built 1980 to 1989 HCT083118 37 9

Built 1970 to 1979 HCT083119 37 9

Built 1960 to 1969 HCT083120 37 9

Built 1950 to 1959 HCT083121 37 9

Built 1940 to 1949 HCT083122 37 9

Built 1939 or earlier HCT083123 37 9

Data Dictionary 7–249

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HCT83. TENURE BY AGE OF HOUSEHOLDER BY YEAR

STRUCTURE BUILT [143]—Con.

Total—Con.

Renter occupied—Con.

Householder 65 to 74 years: HCT083124 37 9

Built 1999 to March 2000 HCT083125 37 9

Built 1995 to 1998 HCT083126 37 9

Built 1990 to 1994 HCT083127 37 9

Built 1980 to 1989 HCT083128 37 9

Built 1970 to 1979 HCT083129 37 9

Built 1960 to 1969 HCT083130 37 9

Built 1950 to 1959 HCT083131 37 9

Built 1940 to 1949 HCT083132 37 9

Built 1939 or earlier HCT083133 37 9

Householder 75 years and over: HCT083134 37 9

Built 1999 to March 2000 HCT083135 37 9

Built 1995 to 1998 HCT083136 37 9

Built 1990 to 1994 HCT083137 37 9

Built 1980 to 1989 HCT083138 37 9

Built 1970 to 1979 HCT083139 37 9

Built 1960 to 1969 HCT083140 37 9

Built 1950 to 1959 HCT083141 37 9

Built 1940 to 1949 HCT083142 37 9

Built 1939 or earlier HCT083143 37 9

HCT84. REAL ESTATE TAXES [16]

Universe: Specified owner-occupied housing units

Total: HCT084001 37 9

Less than $200 HCT084002 37 9

$200 to $299 HCT084003 37 9

$300 to $399 HCT084004 37 9

$400 to $599 HCT084005 37 9

$600 to $799 HCT084006 37 9

$800 to $999 HCT084007 37 9

$1,000 to $1,499 HCT084008 37 9

$1,500 to $1,999 HCT084009 37 9

$2,000 to $2,999 HCT084010 37 9

$3,000 to $3,999 HCT084011 37 9

$4,000 to $4,999 HCT084012 37 9

$5,000 to $7,499 HCT084013 37 9

$7,500 to $9,999 HCT084014 37 9

$10,000 or more HCT084015 37 9

No real estate taxes paid HCT084016 37 9

HCT85. MEDIAN REAL ESTATE TAXES (DOLLARS) [1]

Universe: Specified owner-occupied housing units

Median real estate taxes HCT085001 37 9

7–250 Data Dictionary

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HCT86. AGGREGATE REAL ESTATE TAXES (DOLLARS) [1]

Universe: Specified owner-occupied housing units

Aggregate real estate taxes HCT086001 37 15

File 38 File Linking Fields (comma delimited)

Field name

Data

dictionary

reference name Max

size

Data

type

File Identification FILEID 6 A/N

State/U.S.-Abbreviation (USPS) STUSAB 2 A

Characteristic Iteration CHARITER 3 A/N

Characteristic Iteration File Sequence Number CIFSN 2 A/N

Logical Record Number LOGRECNO 7 N

HCT87. TENURE BY POVERTY STATUS IN 1999 BY

PLUMBING FACILITIES BY OCCUPANTS PER

ROOM [39]

Universe: Occupied housing units

Total: HCT087001 38 9

Owner occupied: HCT087002 38 9

Income in 1999 below poverty level: HCT087003 38 9

Complete plumbing facilities: HCT087004 38 9

1.00 or less occupants per room HCT087005 38 9

1.01 to 1.50 occupants per room HCT087006 38 9

1.51 or more occupants per room HCT087007 38 9

Lacking complete plumbing facilities: HCT087008 38 9

1.00 or less occupants per room HCT087009 38 9

1.01 to 1.50 occupants per room HCT087010 38 9

1.51 or more occupants per room HCT087011 38 9

Income in 1999 at or above poverty level: HCT087012 38 9

Complete plumbing facilities: HCT087013 38 9

1.00 or less occupants per room HCT087014 38 9

1.01 to 1.50 occupants per room HCT087015 38 9

1.51 or more occupants per room HCT087016 38 9

Lacking complete plumbing facilities: HCT087017 38 9

1.00 or less occupants per room HCT087018 38 9

1.01 to 1.50 occupants per room HCT087019 38 9

1.51 or more occupants per room HCT087020 38 9

Renter occupied: HCT087021 38 9

Income in 1999 below poverty level: HCT087022 38 9

Complete plumbing facilities: HCT087023 38 9

1.00 or less occupants per room HCT087024 38 9

1.01 to 1.50 occupants per room HCT087025 38 9

1.51 or more occupants per room HCT087026 38 9

Lacking complete plumbing facilities: HCT087027 38 9

1.00 or less occupants per room HCT087028 38 9

1.01 to 1.50 occupants per room HCT087029 38 9

1.51 or more occupants per room HCT087030 38 9

Data Dictionary 7–251

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HCT87. TENURE BY POVERTY STATUS IN 1999 BY

PLUMBING FACILITIES BY OCCUPANTS PER

ROOM [39]—Con.

Total—Con.

Renter occupied—Con.

Income in 1999 at or above poverty level: HCT087031 38 9

Complete plumbing facilities: HCT087032 38 9

1.00 or less occupants per room HCT087033 38 9

1.01 to 1.50 occupants per room HCT087034 38 9

1.51 or more occupants per room HCT087035 38 9

Lacking complete plumbing facilities: HCT087036 38 9

1.00 or less occupants per room HCT087037 38 9

1.01 to 1.50 occupants per room HCT087038 38 9

1.51 or more occupants per room HCT087039 38 9

HCT88. TENURE BY POVERTY STATUS IN 1999 BY YEAR

STRUCTURE BUILT [43]

Universe: Occupied housing units

Total: HCT088001 38 9

Owner occupied: HCT088002 38 9

Income in 1999 below poverty level: HCT088003 38 9

Built 1999 to March 2000 HCT088004 38 9

Built 1995 to 1998 HCT088005 38 9

Built 1990 to 1994 HCT088006 38 9

Built 1980 to 1989 HCT088007 38 9

Built 1970 to 1979 HCT088008 38 9

Built 1960 to 1969 HCT088009 38 9

Built 1950 to 1959 HCT088010 38 9

Built 1940 to 1949 HCT088011 38 9

Built 1939 or earlier HCT088012 38 9

Income in 1999 at or above poverty level: HCT088013 38 9

Built 1999 to March 2000 HCT088014 38 9

Built 1995 to 1998 HCT088015 38 9

Built 1990 to 1994 HCT088016 38 9

Built 1980 to 1989 HCT088017 38 9

Built 1970 to 1979 HCT088018 38 9

Built 1960 to 1969 HCT088019 38 9

Built 1950 to 1959 HCT088020 38 9

Built 1940 to 1949 HCT088021 38 9

Built 1939 or earlier HCT088022 38 9

Renter occupied: HCT088023 38 9

Income in 1999 below poverty level: HCT088024 38 9

Built 1999 to March 2000 HCT088025 38 9

Built 1995 to 1998 HCT088026 38 9

Built 1990 to 1994 HCT088027 38 9

Built 1980 to 1989 HCT088028 38 9

Built 1970 to 1979 HCT088029 38 9

Built 1960 to 1969 HCT088030 38 9

Built 1950 to 1959 HCT088031 38 9

Built 1940 to 1949 HCT088032 38 9

Built 1939 or earlier HCT088033 38 9

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HCT88. TENURE BY POVERTY STATUS IN 1999 BY YEAR

STRUCTURE BUILT [43]—Con.

Total—Con.

Renter occupied—Con.

Income in 1999 at or above poverty level: HCT088034 38 9

Built 1999 to March 2000 HCT088035 38 9

Built 1995 to 1998 HCT088036 38 9

Built 1990 to 1994 HCT088037 38 9

Built 1980 to 1989 HCT088038 38 9

Built 1970 to 1979 HCT088039 38 9

Built 1960 to 1969 HCT088040 38 9

Built 1950 to 1959 HCT088041 38 9

Built 1940 to 1949 HCT088042 38 9

Built 1939 or earlier HCT088043 38 9

HCT89. TENURE BY POVERTY STATUS IN 1999 BY AGE

OF HOUSEHOLDER [43]

Universe: Occupied housing units

Total: HCT089001 38 9

Owner occupied: HCT089002 38 9

Income in 1999 below poverty level: HCT089003 38 9

Householder 15 to 24 years HCT089004 38 9

Householder 25 to 34 years HCT089005 38 9

Householder 35 to 44 years HCT089006 38 9

Householder 45 to 54 years HCT089007 38 9

Householder 55 to 59 years HCT089008 38 9

Householder 60 to 64 years HCT089009 38 9

Householder 65 to 74 years HCT089010 38 9

Householder 75 to 84 years HCT089011 38 9

Householder 85 years and over HCT089012 38 9

Income in 1999 at or above poverty level: HCT089013 38 9

Householder 15 to 24 years HCT089014 38 9

Householder 25 to 34 years HCT089015 38 9

Householder 35 to 44 years HCT089016 38 9

Householder 45 to 54 years HCT089017 38 9

Householder 55 to 59 years HCT089018 38 9

Householder 60 to 64 years HCT089019 38 9

Householder 65 to 74 years HCT089020 38 9

Householder 75 to 84 years HCT089021 38 9

Householder 85 years and over HCT089022 38 9

Renter occupied: HCT089023 38 9

Income in 1999 below poverty level: HCT089024 38 9

Householder 15 to 24 years HCT089025 38 9

Householder 25 to 34 years HCT089026 38 9

Householder 35 to 44 years HCT089027 38 9

Householder 45 to 54 years HCT089028 38 9

Householder 55 to 59 years HCT089029 38 9

Householder 60 to 64 years HCT089030 38 9

Householder 65 to 74 years HCT089031 38 9

Householder 75 to 84 years HCT089032 38 9

Householder 85 years and over HCT089033 38 9

Data Dictionary 7–253

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HCT89. TENURE BY POVERTY STATUS IN 1999 BY AGE

OF HOUSEHOLDER [43]—Con.

Total—Con.

Renter occupied—Con.

Income in 1999 at or above poverty level: HCT089034 38 9

Householder 15 to 24 years HCT089035 38 9

Householder 25 to 34 years HCT089036 38 9

Householder 35 to 44 years HCT089037 38 9

Householder 45 to 54 years HCT089038 38 9

Householder 55 to 59 years HCT089039 38 9

Householder 60 to 64 years HCT089040 38 9

Householder 65 to 74 years HCT089041 38 9

Householder 75 to 84 years HCT089042 38 9

Householder 85 years and over HCT089043 38 9

HCT90. TENURE BY POVERTY STATUS IN 1999 BY

RECEIPT OF PUBLIC ASSISTANCE INCOME IN

1999 [15]

Universe: Occupied housing units

Total: HCT090001 38 9

Owner occupied: HCT090002 38 9

Income in 1999 below poverty level: HCT090003 38 9

With public assistance income HCT090004 38 9

No public assistance income HCT090005 38 9

Income in 1999 at or above poverty level: HCT090006 38 9

With public assistance income HCT090007 38 9

No public assistance income HCT090008 38 9

Renter occupied: HCT090009 38 9

Income in 1999 below poverty level: HCT090010 38 9

With public assistance income HCT090011 38 9

No public assistance income HCT090012 38 9

Income in 1999 at or above poverty level: HCT090013 38 9

With public assistance income HCT090014 38 9

No public assistance income HCT090015 38 9

HCT91. TENURE BY POVERTY STATUS IN 1999 BY

RECEIPT OF SOCIAL SECURITY INCOME IN 1999

[15]

Universe: Occupied housing units

Total: HCT091001 38 9

Owner occupied: HCT091002 38 9

Income in 1999 below poverty level: HCT091003 38 9

With Social Security income HCT091004 38 9

No Social Security income HCT091005 38 9

Income in 1999 at or above poverty level: HCT091006 38 9

With Social Security income HCT091007 38 9

No Social Security income HCT091008 38 9

7–254 Data Dictionary

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HCT91. TENURE BY POVERTY STATUS IN 1999 BY

RECEIPT OF SOCIAL SECURITY INCOME IN 1999

[15]—Con.

Total—Con.

Renter occupied: HCT091009 38 9

Income in 1999 below poverty level: HCT091010 38 9

With Social Security income HCT091011 38 9

No Social Security income HCT091012 38 9

Income in 1999 at or above poverty level: HCT091013 38 9

With Social Security income HCT091014 38 9

No Social Security income HCT091015 38 9

HCT92. TENURE BY POVERTY STATUS IN 1999 BY

TELEPHONE SERVICE AVAILABLE [15]

Universe: Occupied housing units

Total: HCT092001 38 9

Owner occupied: HCT092002 38 9

Income in 1999 below poverty level: HCT092003 38 9

With telephone service available HCT092004 38 9

No telephone service available HCT092005 38 9

Income in 1999 at or above poverty level: HCT092006 38 9

With telephone service available HCT092007 38 9

No telephone service available HCT092008 38 9

Renter occupied: HCT092009 38 9

Income in 1999 below poverty level: HCT092010 38 9

With telephone service available HCT092011 38 9

No telephone service available HCT092012 38 9

Income in 1999 at or above poverty level: HCT092013 38 9

With telephone service available HCT092014 38 9

No telephone service available HCT092015 38 9

HCT93. TENURE BY SELECTED PHYSICAL AND

FINANCIAL CONDITIONS [13]

Universe: Occupied housing units

Total: HCT093001 38 9

Owner occupied: HCT093002 38 9

With one selected condition HCT093003 38 9

With two selected conditions HCT093004 38 9

With three selected conditions HCT093005 38 9

With four selected conditions HCT093006 38 9

No selected conditions HCT093007 38 9

Renter occupied: HCT093008 38 9

With one selected condition HCT093009 38 9

With two selected conditions HCT093010 38 9

With three selected conditions HCT093011 38 9

With four selected conditions HCT093012 38 9

No selected conditions HCT093013 38 9

Data Dictionary 7–255

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HCT94. IMPUTATION OF TENURE [3]

Universe: Occupied housing units

Total: HCT094001 38 9

Imputed HCT094002 38 9

Not imputed HCT094003 38 9

HCT95. IMPUTATION OF ROOMS [3]

Universe: Occupied housing units

Total: HCT095001 38 9

Imputed HCT095002 38 9

Not imputed HCT095003 38 9

HCT96. IMPUTATION OF UNITS IN STRUCTURE [3]

Universe: Occupied housing units

Total: HCT096001 38 9

Imputed HCT096002 38 9

Not imputed HCT096003 38 9

HCT97. IMPUTATION OF YEAR STRUCTURE BUILT [3]

Universe: Occupied housing units

Total: HCT097001 38 9

Imputed HCT097002 38 9

Not imputed HCT097003 38 9

HCT98. IMPUTATION OF YEAR HOUSEHOLDER MOVED

INTO UNIT [3]

Universe: Occupied housing units

Total: HCT098001 38 9

Imputed HCT098002 38 9

Not imputed HCT098003 38 9

HCT99. IMPUTATION OF HOUSE HEATING FUEL [3]

Universe: Occupied housing units

Total: HCT099001 38 9

Imputed HCT099002 38 9

Not imputed HCT099003 38 9

HCT100. IMPUTATION OF BEDROOMS [3]

Universe: Occupied housing units

Total: HCT100001 38 9

Imputed HCT100002 38 9

Not imputed HCT100003 38 9

HCT101. IMPUTATION OF TELEPHONE SERVICE

AVAILABLE [3]

Universe: Occupied housing units

Total: HCT101001 38 9

Imputed HCT101002 38 9

Not imputed HCT101003 38 9

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HCT102. IMPUTATION OF VEHICLES AVAILABLE [3]

Universe: Occupied housing units

Total: HCT102001 38 9

Imputed HCT102002 38 9

Not imputed HCT102003 38 9

HCT103. IMPUTATION OF PLUMBING FACILITIES [3]

Universe: Occupied housing units

Total: HCT103001 38 9

Imputed HCT103002 38 9

Not imputed HCT103003 38 9

HCT104. IMPUTATION OF KITCHEN FACILITIES [3]

Universe: Occupied housing units

Total: HCT104001 38 9

Imputed HCT104002 38 9

Not imputed HCT104003 38 9

HCT105. IMPUTATION OF MEALS INCLUDED IN RENT [3]

Universe: Specified renter-occupied housing units

paying cash rent

Total: HCT105001 38 9

Imputed HCT105002 38 9

Not imputed HCT105003 38 9

HCT106. IMPUTATION OF CONTRACT RENT [3]

Universe: Specified renter-occupied housing units

Total: HCT106001 38 9

Imputed HCT106002 38 9

Not imputed HCT106003 38 9

HCT107. IMPUTATION OF GROSS RENT [3]

Universe: Specified renter-occupied housing units

Total: HCT107001 38 9

One or more items imputed HCT107002 38 9

No items imputed HCT107003 38 9

HCT108. IMPUTATION OF VALUE FOR SPECIFIED

OWNER-OCCUPIED HOUSING UNITS [3]

Universe: Specified owner-occupied housing units

Total: HCT108001 38 9

Imputed HCT108002 38 9

Not imputed HCT108003 38 9

HCT109. IMPUTATION OF MORTGAGE STATUS [3]

Universe: Specified owner-occupied housing units

Total: HCT109001 38 9

Imputed HCT109002 38 9

Not imputed HCT109003 38 9

Data Dictionary 7–257

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HCT110. IMPUTATION OF MORTGAGE STATUS AND

SELECTED MONTHLY OWNER COSTS FOR

SPECIFIED OWNER-OCCUPIED HOUSING UNITS

[7]

Universe: Specified owner-occupied housing units

Total: HCT110001 38 9

Housing units with a mortgage: HCT110002 38 9

Selected monthly owner costs —

One or more items imputed HCT110003 38 9

No items imputed HCT110004 38 9

Housing units without a mortgage: HCT110005 38 9

Selected monthly owner costs —

One or more items imputed HCT110006 38 9

No items imputed HCT110007 38 9

7–258 Data Dictionary

U.S. Census Bureau, Census 2000
Chapter 8.

Accuracy of the Data

INTRODUCTION

The data contained in this product are based on the Census 2000 sample. The data are estimates

of the actual figures that would have been obtained from a complete count. Estimates derived

from a sample are expected to be different from the 100-percent figures because they are subject

to sampling and nonsampling errors. Sampling error in data arises from the selection of people

and housing units included in the sample. Nonsampling error affects both sample and

100-percent data and is introduced as a result of errors that may occur during the data collection

and processing phases of the census. This chapter provides a detailed discussion of both types

of errors and a description of the estimation procedures.

MASTER ADDRESS FILE DEVELOPMENT

The majority of addresses in the country are in what is known for census purposes as

Mailout/Mailback areas, which generally consist of city-style addresses. The original source of

addresses on the Master Address File (MAF) for the Mailout/Mailback areas was the 1990 Census

Address Control File (ACF). The first update to the ACF addresses is a United States Postal Service

(USPS) Delivery Sequence File (DSF) of addresses. The November 1997, September 1998,

November 1999, and April 2000 DSFs were incorporated into the MAF.

Until shortly before the census, the ACF addresses and the November 1997 and September 1998

residential DSF addresses constituted the MAF. These addresses were tested against Census

Bureau geographic information to determine their location at the census block level. The

geographic information is maintained in the Census Bureau’s Topologically Integrated Geographic

Encoding Referencing (TIGER) system. When an address on the MAF can be uniquely matched to

the address range in TIGER for a street segment that forms one of the boundaries of a particular

block, the address is said to be geocoded to that block. Valid and geocoded addresses appeared

on each address list used for a field operation.

The Block Canvass operation was the next major address list operation in the Mailout/Mailback

areas for Census 2000. Between January and May 1999, there was a 100-percent canvass of every

block in these areas. Every geocoded address was printed in a block-by-block address register.

Block Canvassing listers identified each address as one of the following: a verified housing unit; a

unit with corrections to the street name or directional; a delete; a duplicate, implying the unit

exists elsewhere on the list with a different, unmatchable designation, such as a different street

name or building name; uninhabitable; or nonresidential. Also, units that were deleted from one

block and matched an added unit in another block were called a move.

A cooperative address list check with local governmental units throughout the country, called

Local Update of Census Addresses (LUCA) 98, occurred in approximately the same time frame as

Block Canvassing. In LUCA 98, the participating governmental units received an address list and

were asked for input mostly on added units but also on deleted units and corrected street names

or directionals. The outcome of this operation was similar to that of Block Canvassing; units were

added to and deleted from blocks, and address corrections were made.

The Decennial Master Address File (DMAF), created in July 1999, was the file used for the main

printing of the Census 2000 questionnaires. In Mailout/Mailback areas, the operations that had

yielded housing units and their status before this initial printing stage were the ACF, the

November 1997 DSF, the September 1998 DSF, LUCA 98, and Block Canvassing.

Updates to the DMAF followed the creation of the initial DMAF. Addresses were added by the

November 1999, February 2000, and April 2000 DSFs. The LUCA 98 field verification and appeal

processes were address update operations that occurred subsequent to the creation of the initial

Accuracy of the Data 8–1

U.S. Census Bureau, Census 2000
DMAF. Units receiving a conflicting status from Block Canvassing and the LUCA 98 operation were

sent for field verification by the Census Bureau; the results of the field verification were sent to

the governmental units. The governmental unit could appeal the Census Bureau’s findings for

particular units at this stage. At an appeal, the Census Bureau and the governmental unit submit

their evidence of the status of a housing unit for independent review. The Census Address List

Appeals Office, a temporary Federal office established outside the Department of Commerce,

administered the appeal process. The Director of the Appeals Office (or their designee) was

responsible for issuing a written determination that was considered final. Both the field

verification and the appeal process had the potential to change the status of a housing unit.

The New Construction operation was another cooperative effort with participating governmental

units that added addresses before Census Day. This was a final operation in Mailout/Mailback

areas that used governmental units’ local knowledge to identify new housing units in February

and March of 2000.

After Mailout/Mailback, the second most common method of questionnaire delivery was

Update/Leave. Rather than obtaining addresses from the ACF and DSF, the address list for

Update/Leave areas was constructed during a Census Bureau field operation called Address

Listing. This was due to the fact that addresses in Update/Leave areas were primarily

noncity-style. Census employees were sent to the field with maps of their assignment areas and

were instructed to record the city-style address, noncity-style address or location description, or

possibly some combination of the above, for every housing unit. In addition, the location of the

unit was noted on the census map with what is known as a map spot. This operation took place in

the fall of 1998.

After processing the Address Listing data, the Census Bureau could tabulate the number of

housing units in each block. Because the housing units in these areas may have nonstandard

mailing addresses and may be recorded in census files solely with a location description, the

governmental units participating in the local review operation in these areas were sent lists of

housing unit counts by block. This operation was called LUCA 99. When a LUCA 99 participant

disagreed with a Census block count, the contested block was sent out for LUCA 99 recanvassing.

Census employees were redeployed to make updates to the address list. In addition, there was a

LUCA 99 appeal process for settling housing unit status discrepancies that could potentially add

units to the address list. The LUCA 99 recanvassing and LUCA 99 appeal process took place at

various times during the DMAF updating process. Although most of the LUCA 99 entities had their

recanvassing results processed before creation of the initial DMAF, many did not. There were

DMAF updates designed specifically for obtaining late recanvassing and appeal results. These

updates to the census files occurred in time for USPS delivery of a questionnaire.

The last address list-building operation in the Update/Leave areas was the Update/Leave

operation itself. This operation was responsible for having a census questionnaire hand-delivered

at every housing unit. The MAF and the maps were updated during this process.

In the most remote regions of the country, housing units were listed at the same time people

within them were enumerated for Census 2000. These operations, called List/Enumerate and

Remote Alaska enumeration, were the only source of addresses in these regions. All housing units

were map spotted at the time of enumeration.

In some other regions of the country where an address list had already been created, the Census

Bureau determined that direct enumeration of the population would be more successful than

mailback of the forms. This operation was called Update/Enumerate. There were two types of

Update/Enumerate areas – urban areas that were formerly Mailout/Mailback and rural areas that

were formerly Update/Leave. The urban areas had passed through all the Mailout/Mailback

operations up through the point of the creation of the initial DMAF, and the rural areas had passed

through Address Listing, and sometimes LUCA 99, by the time of the creation of the initial DMAF.

Because of these distinct paths, it was necessary to distinguish between the urban and rural

Update/Enumerate areas.

Urban Update/Leave is another special enumeration that took place in areas where mail delivery

was considered to be problematic. The addresses had passed through all the operations of the

8–2 Accuracy of the Data

U.S. Census Bureau, Census 2000
Mailout/Mailback areas up through the creation of the initial DMAF, but enumerators visited the

area during the census. As a result, additions, deletions and corrections to the address list were

made.

People who do not receive a questionnaire at their house could submit a Be Counted Form, or they

could call Telephone Questionnaire Assistance and have their information collected over the

telephone. Addresses from these operations that did not match those already on the DMAF and

that were geocoded to a census collection block in an area where census enumeration did not

take place were visited in a Field Verification operation to determine if they existed. Verified

addresses were added to the address list.

Follow-up operations provided additional information about housing units listed on the DMAF. In

Nonresponse Followup (NRFU), enumerators followed up on units that had not returned a

preaddressed census form. These units could be enumerated, deemed vacant, or possibly deleted.

At the same time, units that did not appear on the address list could be added and enumerated

concurrently. Coverage Improvement Follow Up was designated for enumeration at addresses

added by New Construction and the later Delivery Sequence Files, as well as a second check on

NRFU vacant and deleted units. Adds were also possible. These operations occurred in the

Mailout/Mailback, Update/Leave, and Urban Update/Leave areas.

SERVICE-BASED ENUMERATION

Service Based Enumeration was designed to account for people without a usual residence who use

service facilities (i.e., shelters, soup kitchens and mobile food vans). Only people using the service

facility on the interview day were enumerated. In addition, people enumerated in Targeted

Non-Shelter Outdoor Locations (TNSOLS) and people without a usual residence that filed Be

Counted Forms (BCF) augmented the count. This component of the enumeration should not

be interpreted as a complete count of the population without a usual residence.

SAMPLE DESIGN

Every person and housing unit in the United States was asked basic demographic and housing

questions (for example, race, age, and relationship to householder). A sample of these people and

housing units was asked more detailed questions about items, such as income, occupation, and

housing costs. The sampling unit for Census 2000 was the housing unit, including all occupants.

There were four different housing unit sampling rates: 1-in-8, 1-in-6, 1-in-4, and 1-in-2 (designed

for an overall average of about 1-in-6). The Census Bureau assigned these varying rates based on

precensus occupied housing unit estimates of various geographic and statistical entities, such as

incorporated places and interim census tracts. For people living in group quarters or enumerated

at long form eligible service sites (shelters and soup kitchens), the sampling unit was the person

and the sampling rate was 1-in-6.

The sample designation method for housing units depended on the data collection procedures.

Approximately 95 percent of the population was enumerated by the mailback procedure. In these

areas, the Census Bureau used the Decennial Master Address File (DMAF) to select electronically a

probability sample. The questionnaires were either mailed or hand-delivered to selected addresses

with instructions to complete and mail back the form.

The housing unit sampling rate varied by census block. Long Form Sampling Entities (LFSEs) were

used to determine sampling rates in Census 2000 similarly to the way governmental units were

used in the 1990 census sample design. LFSEs were:

• Counties and county equivalents (such as parishes in Louisiana).

• Cities.

• Incorporated places (including consolidated cities).

• Census designated places in Hawaii only.

Accuracy of the Data 8–3

U.S. Census Bureau, Census 2000
• Minor civil divisions in certain states only (Connecticut, Maine, Massachusetts, Michigan,

Minnesota, New Hampshire, New Jersey, New York, Pennsylvania, Rhode Island, Vermont, and

Wisconsin).

• School districts (based on the 1995-1996 school year).

• American Indian reservations.

• Tribal jurisdiction statistical areas (replaced for Census 2000 by entities called Oklahoma Tribal

Statistical Areas).

• Alaska Native village statistical areas.

Size estimates for LFSEs were based on housing unit counts from the DMAF and occupancy rates

from the 1990 census. If the smallest LFSE that included all or any part of a block had an

estimated housing unit count of less than 800, the housing units in the block were sampled at a

1-in-2 rate. If the smallest LFSE that included all or any part of a block had an estimated housing

unit count of 800 or more but less than 1,200, housing units in the block were sampled at a

1-in-4 rate. If a block was not in either of the two previous sampling rate categories, and was part

of an interim census tract with 2,000 or more estimated housing units, the housing units in the

block were sampled at a 1-in-8 rate. Housing units in all remaining blocks (those not assigned to

1-in-2, 1-in-4, or 1-in-8 rates) were sampled at a 1-in-6 rate.

In List/Enumerate areas (accounting for less than 0.5 percent of the housing units), each

enumerator was given a blank address register with designated sample lines. Beginning about

Census Day, the enumerator systematically canvassed an Assignment Area (AA) and listed all

housing units in the address register in the order they were encountered. Completed

questionnaires, including sample information for any housing unit listed on a designated sample

line, were collected. If an AA contained any blocks that would qualify as above for a 1-in-2 or

1-in-4 rate, all households in the AA were sampled at 1-in-2. Housing units in all other AAs were

sampled at 1-in-6.

Housing units in American Indian reservations, tribal jurisdiction statistical areas (replaced for

Census 2000 by entities called Oklahoma Tribal Statistical Areas), and Alaska Native villages were

sampled according to the same criteria as other LFSEs, except the sampling rates were based on

the size of the American Indian and Alaska Native population in those areas as measured in the

1990 census. Trust lands were sampled at the highest rate of any part of their associated

American Indian reservations. If the associated American Indian reservation was entirely outside

the state containing the trust land, then the trust land was sampled at a 1-in-2 rate. All Remote

Alaska assignment areas were sampled at a rate of 1-in-2. Housing units in Puerto Rico were

sampled at a constant 1-in-6 rate in all blocks.

Variable sampling rates provide relatively more reliable estimates for small areas and decrease

respondent burden in more densely populated areas while maintaining data reliability. When all

sampling rates were taken into account across the Nation, approximately 1 out of every 6 housing

units was included in the Census 2000 sample.

CONFIDENTIALITY OF THE DATA

The Census Bureau has modified or suppressed some data in this data release to protect

confidentiality. Title 13 United States Code, Section 9, prohibits the Census Bureau from

publishing results in which an individual can be identified. The Census Bureau’s internal

Disclosure Review Board sets the confidentiality rules for all data releases. A checklist approach is

used to ensure that all potential risks to the confidentiality of the data are considered and

addressed.

Title 13, United States Code. Title 13 of the United States Code authorizes the Census Bureau

to conduct censuses and surveys. Section 9 of the same Title requires that any information

collected from the public under the authority of Title 13 be maintained as confidential. Section

214 of Title 13 and Sections 3559 and 3571 of Title 18 of the United States Code provide for the

imposition of penalties of up to 5 years in prison and up to $250,000 in fines for wrongful

disclosure of confidential census information.

8–4 Accuracy of the Data

U.S. Census Bureau, Census 2000
Disclosure limitation. Disclosure limitation is the process for protecting the confidentiality of

data. A disclosure of data occurs when someone can use published statistical information to

identify an individual who provided information under a pledge of confidentiality. Using disclosure

limitation procedures, the Census Bureau modifies or removes the characteristics that put

confidential information at risk for disclosure. Although it may appear that a table shows

information about a specific individual, the Census Bureau has taken steps to disguise the original

data while making sure the results are still useful. The techniques used by the Census Bureau to

protect confidentiality in tabulations vary, depending on the type of data.

Data swapping. Data swapping is a method of disclosure limitation designed to protect

confidentiality in tables of frequency data (the number or percentage of the population with

certain characteristics). Data swapping is done by editing the source data or exchanging records

for a sample of cases when creating a table. A sample of households is selected and matched on a

set of selected key variables with households in neighboring geographic areas that have similar

characteristics (such as the same number of adults and the same number of children). Because the

swap often occurs within a neighboring area, there is no effect on the marginal totals for the area

or for totals that include data from multiple areas. Because of data swapping, users should not

assume that tables with cells having a value of 1 or 2 reveal information about specific

individuals. Data swapping procedures were first used in the 1990 census and were also used for

Census 2000.

ERRORS IN THE DATA

Statistics in this data product are based on a sample. Therefore, they may differ somewhat from

100-percent figures that would have been obtained if all housing units, people within those

housing units, and people living in group quarters had been enumerated using the same

questionnaires, instructions, enumerators, and so forth. The sample estimate also would differ

from other samples of housing units, people within those housing units, and people living in

group quarters. The deviation of a sample estimate from the average of all possible samples is

called the sampling error. The standard error of a sample estimate is a measure of the variation

among the estimates from all possible samples. Thus, it measures the precision with which an

estimate from a particular sample approximates the average result of all possible samples. The

sample estimate and its estimated standard error permit the construction of interval estimates

with prescribed confidence that the interval includes the average result of all possible samples.

The method of calculating standard errors and confidence intervals for the data in this product

appears in the section called ‘‘Calculation of Standard Errors.’’

In addition to the variability that arises from the sampling procedures, both sample data and

100-percent data are subject to nonsampling error. Nonsampling error may be introduced during

any of the various complex operations used to collect and process census data. For example,

operations such as editing, reviewing, or handling questionnaires may introduce error into the

data. A detailed discussion of the sources of nonsampling error is given in the section on

‘‘Nonsampling Error’’ in this chapter.

Nonsampling error may affect the data in two ways: errors that are introduced randomly will

increase the variability of the data and, therefore, should be reflected in the standard error; errors

that tend to be consistent in one direction will make both sample and 100-percent data biased in

that direction. For example, if respondents consistently tend to underreport their incomes, then

the resulting counts of households or families by income category will tend to be understated for

the higher income categories and overstated for the lower income categories. Such biases are not

reflected in the standard error.

Limitations of the Group Quarters Data

By definition, universes that include the total population include both the household population

and the group quarters population. For example, the universe defined as the population 15 years

and over includes all people 15 years and over in both households and group quarters.

Accuracy of the Data 8–5

U.S. Census Bureau, Census 2000
In previous censuses and in Census 2000, allocation rates for demographic characteristics (such

as age, sex, and race) of the group quarters population were similar to those for the total

population. However, allocation rates for sample characteristics, such as school enrollment,

educational attainment, income, and veteran status for the institutionalized and

noninstitutionalized group quarters population have been substantially higher than those for the

household population since at least the 1960 census. A review of the Census 2000 allocation

rates for sample characteristics indicated that this trend continued.

Although allocation rates for sample characteristics are higher for the group quarters population,

it is important to include the group quarters population in the total population universe. In most

areas, the group quarters population represents a small proportion of the total population. As a

result, the higher allocation rates associated with the group quarters population have minimal

impact on the sample characteristics for the area of interest. In areas where the group quarters

population represents a larger percentage of the total population, the Census Bureau cautions

data users about the impact the higher allocation rates may have on the sample characteristics.

Calculation of Standard Errors

Totals and percentages. Tables A through C in this chapter contain the necessary information

for calculating the standard errors of sample estimates in this data product. To calculate the

standard error, it is necessary to know:

• The unadjusted standard error for the characteristic (given in Table A for estimated totals or

Table B for estimated percentages) that would result under a simple random sample design of

people, housing units, households, or families.

• The design factor for the particular characteristic estimated (given in Table C) based on the

sample design and estimation techniques employed to produce long form data estimates.

• The number of people, housing units, households, or families in the publication area.

• The observed sampling rate.

The design factor is the ratio of the estimated standard error to the standard error of a simple

random sample. The design factors reflect the effects of the actual sample design and the

complex ratio estimation procedure used for Census 2000. Percent-in-sample values are provided

in Summary File 3. The percent of the population in sample is given in P4, Percent of the

Population in Sample. Percent-in-sample values for housing units are provided in H4, Percent of

Housing Units in Sample by Occupancy Status. Thus, observed sampling rates for housing units

are provided separately for occupied and vacant housing units. Data users should use information

in H2, Unweighted Sample Housing Units by Occupancy Status, to determine the most prevalent

type of housing unit in a specific geography (occupied or vacant), and use its corresponding

percent-in-sample value from H4. As a convenience to data users, a percent-in-sample value for

total housing units is available in the Census Bureau’s PHC-2, Summary Social, Economic, and

Housing Characteristics reports (see the Percent of Population and Housing Units in Sample

tables). This percent-in-sample value combines occupied and vacant housing units to form a

single percent-in-sample value for housing units.

Use the steps given below to calculate the standard error of an estimated total or percentage

contained in this product. A percentage is defined here as a ratio of a numerator to a denominator

where the numerator is a subset of the denominator. For example, the proportion of Black or

African-American teachers is the ratio of Black or African-American teachers to all teachers.

1. Obtain the unadjusted standard error from Table A or B (or use the formula given below the

table) for the estimated total or percentage, respectively.

2. Obtain the person or housing unit observed sampling rate (percent-in-sample) for the

geographic area to which the estimate applies. Use the person observed sampling rate for

population characteristics and the housing unit observed sampling rate for housing

characteristics.

8–6 Accuracy of the Data

U.S. Census Bureau, Census 2000
3. Use Table C to obtain the appropriate design factor, based on the characteristic (Employment

status, School enrollment, etc.) and the range containing the percent-in-sample value defined

in step 2. Multiply the unadjusted standard error by this design factor.

The unadjusted standard errors of zero estimates or of very small estimated totals or percentages

will approach zero. This is also the case for very large percentages or estimated totals that are

close to the size of the publication areas to which they correspond. Nevertheless, these estimated

totals and percentages are still subject to sampling and nonsampling variability, and an estimated

standard error of zero (or a very small standard error) is not appropriate. For estimated

percentages that are less than 2 or greater than 98, use the unadjusted standard errors in Table B

that appear in the ‘‘2 or 98’’ row. For an estimated total that is less than 50 or within 50 of the

total size of the publication area, use an unadjusted standard error of 16.

Examples using Tables A and B are given in the section titled ‘‘Using Tables to Compute Standard

Errors and Confidence Intervals.’’

Sums and differences. The standard errors estimated from Tables A and B are not directly

applicable to sums of and differences between two sample estimates. To estimate the standard

error of a sum or difference, the tables are to be used somewhat differently in the following three

situations:

1. For the sum of or difference between a sample estimate and a 100-percent value, use the

standard error of the sample estimate. The complete count value is not subject to sampling

error.

2. For the sum of or difference between two sample estimates, the appropriate standard error is

approximately the square root of the sum of the two individual standard errors squared; that

is, for standard errors

SE X

ˆ and SE Yˆ of estimates Xˆ and Yˆ , respectively:

SEX

ˆ  Yˆ  SEXˆ Yˆ [SEXˆ ]

2  [SEY

ˆ ]

2

This method, however, will underestimate (overestimate) the standard error if the two items in

a sum are highly positively (negatively) correlated or if the two items in a difference are highly

negatively (positively) correlated. This method may also be used for the difference between

(or sum of) sample estimates from two censuses or from a census sample and another survey.

The standard error for estimates not based on the Census 2000 sample must be obtained

from an appropriate source outside of this chapter.

3. For the differences between two estimates, one of which is a subclass of the other, use the

tables directly where the calculated difference is the estimate of interest. For example, to

determine the estimate of non-Black or African-American teachers, subtract the estimate of

Black or African-American teachers from the estimate of total teachers. To determine the

standard error of the estimate of non-Black or African-American teachers, apply the above

formula directly.

Ratios. Frequently, the statistic of interest is the ratio of two variables, where the numerator is

not a subset of the denominator. An example is the ratio of students to teachers in public

elementary schools. (Note that this method cannot be used to compute a standard error for a

sample mean.) The standard error of the ratio between two sample estimates is estimated as

follows:

1. If the ratio is a proportion, then follow the procedure outlined for ‘‘Totals and percentages.’’

2. If the ratio is not a proportion, then approximate the standard error using the formula below.

SE(X

ˆ

Y

ˆ

)  (X

ˆ

Y

ˆ

)SEX

ˆ 

2

X

ˆ 2 

SEY

ˆ 

2

Y

ˆ 2

Accuracy of the Data 8–7

U.S. Census Bureau, Census 2000
Medians. The sampling variability of an estimated median depends on the form of the

distribution and the size of its base. The reliability of an estimated median is approximated by

constructing a confidence interval. Estimate the 68 percent confidence limits of a median based

on sample data using the following procedure.

1. Obtain the appropriate (person or housing unit) observed sampling rate for the specific

geographic area. Use this rate to locate the design factor for the characteristic of interest in

Table C.

2. Obtain the frequency distribution for the selected variable. Cumulate these frequencies to

yield the base.

3. Determine the standard error of the estimate of 50 percent from the distribution using the

formula:

SE50 percent  5

base x 502 x Design Factor

4. Subtract from and add to 50 percent the standard error determined in step 3.

plower  50  SE 50 percent

pupper  50  SE 50 percent

Find the category in the distribution containing p_lower and the category in the distribution

containing p_upper. If p_lower and p_upper fall in the same category, follow these steps:

• Define A1 as the smallest value in that category.

• Define A2 to be the smallest value in the next (higher) category.

• Define C1 as the cumulative percent of units strictly less than A1.

• Define C2 as the cumulative percent of units strictly less than A2.

Use these values (A1, A2, C1, C2) in step 5 to obtain the Lower Bound and the Upper

Bound.

If p_lower and p_upper are in different categories, follow the steps above twice–once for

each category. In effect, users will interpolate twice to obtain the Lower and Upper Bounds

as follows:

• First, for the category containing p_lower, define the values A1, A2, C1, and C2 as above.

Use these values in step 5 to obtain the Lower Bound.

• Second, for the category containing p_upper, define a new set of values for A1, A2, C1, and

C2. Use these values in step 5 to obtain the Upper Bound.

5. Use the following formula and the values obtained in step 4 to form a confidence interval

about the median:

Bound  [ X  C1

C2  C1] x A2  A1 A1

where X  plower pupperfor the Lower Bound Upper Bound.

6. Divide the difference between the two points determined in step 5 by two to obtain the

estimated standard error of the median:

SEmedian Upper Bound  Lower Bound

2  pupper  plowerC2C1 x

A2A1

2

Means. A mean is defined here as the average quantity of some characteristic (other than the

number of people, housing units, households, or families) per person, housing unit, household, or

family. For example, a mean could be the average annual income of females age 25 to 34. The

8–8 Accuracy of the Data

U.S. Census Bureau, Census 2000
standard error of a mean can be approximated by the formula below. Because of the

approximation used in developing this formula, the estimated standard error of the mean

obtained from this formula will generally underestimate the true standard error.

The formula for estimating the standard error of a mean, x−, is

SE x

  5

base x s2 x Design Factor

where s2 is the estimated population variance of the characteristic and the base is the total

number of units in the population. The population variance, s2

, may be estimated using data that

has been grouped into intervals.

For this method, the range of values for the characteristic is divided into c intervals, where the

lower and upper boundaries of interval j are Lj and Uj

, respectively. Each person is placed into one

of the c intervals such that the value of the characteristic is between Lj and Uj

. The estimated

population variance, s2

, is then given by:

s2  	

j1

c

pjmj

2   x



2

where pj is the estimated proportion of persons in interval j (based on weighted data) and mj is

the midpoint of the jth interval, calculated as:

mj  Lj  Uj

2 .

The most representative value of the characteristic in interval j is assumed to be the midpoint of

the interval, mj

. If the cth interval is open-ended, i.e., no upper interval boundary exists, then an

approximate value for mc is

mc  (

3

2

)Lc.

The estimated sample mean, x−, can be obtained using the following formula:

x

  	

j1

c

pjmj.

Confidence intervals. A sample estimate and its estimated standard error may be used to

construct confidence intervals about the estimate. These intervals are ranges that will contain the

average value of the estimated characteristic that results over all possible samples, with a known

probability.

For example, if all possible samples that could result under the Census 2000 sample design were

independently selected and surveyed under the same conditions, and if the estimate and its

estimated standard error were calculated for each of these samples, then:

1. 68 percent confidence interval. Approximately 68 percent of the intervals from one estimated

standard error below the estimate to one estimated standard error above the estimate would

contain the average result from all possible samples.

2. 90 percent confidence interval. Approximately 90 percent of the intervals from 1.645 times

the estimated standard error below the estimate to 1.645 times the estimated standard error

above the estimate would contain the average result from all possible samples.

3. 95 percent confidence interval. Approximately 95 percent of the intervals from two estimated

standard errors below the estimate to two estimated standard errors above the estimate

would contain the average result from all possible samples.

Accuracy of the Data 8–9

U.S. Census Bureau, Census 2000
The average value of the estimated characteristic that could be derived from all possible samples

either is or is not contained in any particular computed interval. Thus, the statement that the

average value has a certain probability of falling between the limits of the calculated confidence

interval cannot be made. Rather, one can say with a specified probability of confidence that the

calculated confidence interval includes the average estimate from all possible samples

(approximately the 100-percent value).

Confidence intervals also may be constructed for the ratio, sum of, or difference between two

sample figures. First compute the ratio, sum, or difference. Next, obtain the standard error of the

ratio, sum, or difference (using the formulas given earlier). Finally, form a confidence interval for

this estimated ratio, sum, or difference as above. One can then say with specified confidence that

this interval includes the ratio, sum, or difference that would have been obtained by averaging the

results from all possible samples.

Calculating the confidence interval from the standard error. To calculate the lower and

upper bounds of the 90 percent confidence interval around an estimate using the standard error,

multiply the standard error by 1.645, then add and subtract the product from the estimate.

Lower bound = Estimate  (Standard Error 
 1.645)

Upper bound = Estimate  (Standard Error 
 1.645)

Limitations. Be careful when computing and interpreting confidence intervals. The estimated

standard errors given in this chapter do not include all portions of the variability because of

nonsampling error that may be present in the data. The standard errors reflect the effect of simple

response variance, but not the effect of correlated errors introduced by enumerators, coders, or

other field or processing personnel. Thus, the standard errors calculated represent a lower bound

of the total error. As a result, confidence intervals formed using these estimated standard errors

might not meet the stated levels of confidence (i.e., 68, 90, or 95 percent). Thus, be careful

interpreting the data in this data product based on the estimated standard errors.

A standard sampling theory text should be helpful if the user needs more information about

confidence intervals and nonsampling errors.

Zero or small estimates; very large estimates. The value of almost all Census 2000 characteristics

is greater than or equal to zero by definition. The method given previously for calculating

confidence intervals relies on large sample theory and may result in negative values for zero or

small estimates, which are not admissible for most characteristics. In this case, the lower limit of

the confidence interval is set to zero by default. A similar caution holds for estimates of totals that

are close to the population total and for estimated proportions near one, where the upper limit of

the confidence interval is set to its largest admissible value. In these situations, the level of

confidence of the adjusted range of values is less than the prescribed confidence level.

Using Tables to Compute Standard Errors and Confidence Intervals

Example 1. Computing the standard error of a total. Suppose a particular data table shows

that for City A 9,948 people out of all 15,888 people age 16 years and over were in the civilian

labor force. The person observed sampling rate (percent-in-sample) in City A is 16.0 percent. The

column in Table C that includes an observed sampling rate of 16.0 percent shows the design

factor to be 1.1 for the population characteristic ‘‘Employment status.’’

The unadjusted standard error for the estimated total of 9,948 is computed using the formula

given below Table A. Suppose that the total population of City A was 21,220. The formula for the

unadjusted standard error, SE, is

SE9,948 59,948(1 9,948

21,220)  163 people.

8–10 Accuracy of the Data

U.S. Census Bureau, Census 2000
The 5 in the above formula is based on a 1-in-6 sample and is derived from the inverse of the

sampling rate minus one; i.e., 5 = 6 − 1. To find the standard error of the estimated 9,948 people

16 years and over who were in the civilian labor force, multiply the unadjusted standard error 163

by the design factor, 1.1, from Table C. This yields an estimated standard error of 179 for the total

number of people 16 years and over in City A who were in the civilian labor force.

Example 2. Computing the standard error of a percentage. The estimated percent of

people 16 years and over who were in the civilian labor force in City A is 62.6 percent (= 9,948 ÷

15,888). Using the formula below Table B, the unadjusted standard error is approximately

SE62.6 ( 5

15,888)62.6100  62.6

= 0.86 percentage points.

Again, the 5 in the above formula is based on a 1-in-6 sample and is derived from the inverse of

the sampling rate minus one; i.e., 5 = 6 − 1. The standard error for the estimated 62.6 percent of

people 16 years and over who were in the civilian labor force is 0.86 x 1.1 = 0.95 percentage

points.

Note that standard errors of percentages derived in this manner are approximate. Calculations

can be expressed to several decimal places, but doing so would indicate more precision in the

data than is justifiable. Final results should contain no more than two decimal places when the

estimated standard error is one percentage point (i.e., 1.00) or more.

Example 3. Computing a confidence interval. In Example 1, the adjusted standard error of

the 9,948 people 16 years and over in City A in the civilian labor force was 179. Thus, a 90

percent confidence interval for this estimated total is:

9,948  1.645179 to 9,948  1.645 179

or 9,654 to 10,242.

One can say, with about 90 percent confidence, that this interval includes the value that would

have been obtained by averaging the results from all possible samples.

Example 4. Computing the standard error and confidence interval for the difference

between two sample estimates. Suppose the number of people in City B age 16 years and

over who were in the civilian labor force was 9,314 and the total number of people 16 years and

over was 16,666. The population size of City B was 25,225, resulting in a person percent-insample of 15.7. The range that includes an observed sampling rate of 15.7 in Table C shows the

design factor to be 1.1 for ‘‘Employment status.’’ Using the formula below Table A and the

appropriate design factor, the estimated standard error for the total number of people 16 years

and over in City B who were in the civilian labor force is 188 (= 171 x 1.1). The estimated

percentage of people 16 years and over who were in the civilian labor force is 55.9 percent. The

unadjusted standard error determined using the formula provided at the bottom of Table B is 0.86

percentage points, and the approximate standard error of the percentage (55.9 percent) is 0.86 x

1.1 = 0.95 percentage points.

Suppose that one wished to obtain the standard error of the difference between City A and City B

of the percentages of people who were 16 years and over and who were in the civilian labor force.

The difference in the percentages for the two cities is:

62.6  55.9  6.7 percent.

Using the above calculations and the adjusted standard error from Example 2:

SE 6.7 SE62.6

2  SE55.92  0.952  0.952

 1.34 percentage points.

The 90 percent confidence interval for the difference is formed as before:

6.70  1.6451.34 to 6.70  1.6451.34

or 4.50 to 8.90.

Accuracy of the Data 8–11

U.S. Census Bureau, Census 2000
One can say with 90 percent confidence that the interval includes the difference that would have

been obtained by averaging the results from all possible samples.

Example 5. Computing the standard error and confidence interval for the ratio of two

sample estimates. For reasonably large samples, ratio estimates are normally distributed,

particularly for the census population. Therefore, if the standard error of a ratio estimate can be

calculated, then a confidence interval can be formed about the ratio.

Suppose that one wished to obtain the standard error of the ratio of the estimate of people who

were 16 years and over and who were in the civilian labor force in City A to the estimate of people

who were 16 years and over and who were in the civilian labor force in City B. The ratio of the

two estimates is:

9,948

9,314  1.07

The standard error of this ratio is:

SE1.07 (

9,948

9,314)179

2

9,948

2 

188

2

9,314

2

= 0.029.

Using the results above, the 90 percent confidence interval for this ratio would be:

1.07  1.6450.029 to 1.07  1.6450.029

or 1.02 to 1.12.

8–12 Accuracy of the Data

U.S. Census Bureau, Census 2000
One can say with 90 percent confidence that the interval includes the ratio that would have been

obtained by averaging the results from all possible samples.

Example 6. Computing the standard error and confidence interval of a median. The

following example shows the steps for calculating an estimated standard error and confidence

interval for the median housing value in City C.

1. The housing unit observed sampling rate in City C is 14.3. Suppose that the corresponding

design factor in Table C for the housing characteristic ‘‘Value’’ is 1.2.

2. Obtain the frequency distribution for housing values in City C. The base is the sum of the

frequencies (4,227).

Table 1. Frequency Distribution and Cumulative Totals for Housing Value

Housing value Frequency Cumulative sum

Cumulative

percent

Less than $50,000. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,548 1,548 36.62

$50,000 to $99,999. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 820 2,368 56.02

$100,000 to $149,999. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 752 3,120 73.81

$150,000 to $199,999. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 524 3,644 86.21

$200,000 to $299,999. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 300 3,944 93.30

$300,000 to $499,999. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 248 4,192 99.17

$500,000 or more . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35 4,227 100.00

3. Determine the standard error of the estimate of 50 percent from the distribution:

SE50 percent  5

4,227 x 502 x 1.2

= 2.06

4. Calculate a confidence interval with bounds:

plower  50  2.06  47.94

pupper  50  2.06  52.06

From the given distribution, the category with the cumulative percent first exceeding 47.94

percent is $50,000 to $99,999. Therefore, A1 = $50,000. C1 is the cumulative percent of

housing units with value less than $50,000. As a result, C1 = 36.62 percent.

The category with the cumulative percent that first exceeds 52.06 percent is also $50,000 to

$99,999. A2 is the smallest value in the next (higher) category, resulting in A2 = $100,000.

C2 is the cumulative percent of housing units with value less than $100,000. Thus, C2 =

56.02 percent.

5. Given the values obtained in earlier steps, calculate the Lower and Upper Bounds of the

confidence interval about the median:

Lower Bound  [

47.94  36.62

56.02  36.62] x $100,000  $50,000 $50,000

Upper Bound  [

52.06  36.62

56.02  36.62] x $100,000  $50,000 $50,000

The confidence interval is $79,175 to $89,794.

6. The estimated standard error of the median is

SEmedian $89,794  $79,175

2  $5,310

Accuracy of the Data 8–13

U.S. Census Bureau, Census 2000
Example 7. Computing the standard error of a mean. This example shows the steps for

calculating the standard error for the average commuting time in City D. The frequency

distribution is given in Table 2.

Table 2. Frequency Distribution for Travel Time to Work

Travel time to work Frequency

Did not work at home: ............................................................ 776,619

Less than 5 minutes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14,602

5 to 9 minutes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69,066

10 to 14 minutes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107,161

15 to 19 minutes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 138,187

20 to 24 minutes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 139,726

25 to 29 minutes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52,879

30 to 34 minutes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 120,636

35 to 39 minutes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19,751

40 to 44 minutes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25,791

45 to 59 minutes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50,322

60 to 89 minutes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29,178

90 or more minutes. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,320

Worked at home ................................................................. 19,986

1. Cumulating the frequencies over the 12 categories for those who commuted to work (i.e., Did

not work at home) yields the population count (base) of 776,619 workers age 16 years and

over.

2. Find the midpoint mj for each of the 12 categories. Multiply each category’s proportion pj by

the square of the midpoint and sum this product over all categories.

For example, the midpoint of category 1 ‘‘Less than 5 minutes’’ is

m1  0  5

2  2.5 minutes

while the midpoint of the 12th category ‘‘90 or more minutes’’ is

m12  (

3

2

) 90  135 minutes.

The proportion of units in the first category, p1, is

p1  14,602

776,619  0.019.

Necessary products for the standard error calculation are given in Table 3 along with totals.

Table 3. Calculations for Travel Time to Work

Travel time to work pj mj pjmj

2 pj

mj

Did not work at home:

Less than 5 minutes . . . . . . . . . . . . . . . . . . . . . . . . 0.019 2.5 0.119 0.048

5 to 9 minutes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 0.089 7 4.361 0.623

10 to 14 minutes . . . . . . . . . . . . . . . . . . . . . . . . . . . 0.138 12 19.872 1.656

15 to 19 minutes . . . . . . . . . . . . . . . . . . . . . . . . . . . 0.178 17 51.442 3.026

20 to 24 minutes . . . . . . . . . . . . . . . . . . . . . . . . . . . 0.180 22 87.120 3.960

25 to 29 minutes . . . . . . . . . . . . . . . . . . . . . . . . . . . 0.068 27 49.572 1.836

30 to 34 minutes . . . . . . . . . . . . . . . . . . . . . . . . . . . 0.155 32 158.720 4.960

35 to 39 minutes . . . . . . . . . . . . . . . . . . . . . . . . . . . 0.025 37 34.225 0.925

40 to 44 minutes . . . . . . . . . . . . . . . . . . . . . . . . . . . 0.033 42 58.212 1.386

45 to 59 minutes . . . . . . . . . . . . . . . . . . . . . . . . . . . 0.065 52 175.760 3.380

60 to 89 minutes . . . . . . . . . . . . . . . . . . . . . . . . . . . 0.038 74.5 210.910 2.831

90 or more minutes . . . . . . . . . . . . . . . . . . . . . . . . . 0.012 135 218.700 1.620

Total 1069.013 26.251

8–14 Accuracy of the Data

U.S. Census Bureau, Census 2000
3. To estimate the mean commuting time for people in City D, multiply each category’s

proportion by its midpoint and sum over all categories in the universe. Table 3 shows an

estimated mean travel time to work, x−, of 26 minutes.

4. Calculate the estimated population variance.

s2 1069.013  26

2

= 393.013

5. In City D, the person observed sampling rate is 13.1 percent. Suppose the design factor for

‘‘Travel time to work’’ in City D, given in the ‘‘Less than 15 percent’’ percent-in-sample column

of Table C, is 1.4. Use this information and the results from steps 1 through 4 to calculate an

estimated standard error for the mean as:

SE x

  5

776,619 x 393.013 x 1.4

= 0.07 minutes.

ESTIMATION PROCEDURE

The estimates that appear in this product were obtained from an iterative ratio estimation

procedure (iterative proportional fitting) resulting in the assignment of a weight to each sample

person or housing unit record. For any given tabulation area, a characteristic total was estimated

by summing the weights assigned to the people or housing units possessing the characteristic in

the tabulation area. Estimates of family or household characteristics were based on the weight

assigned to the family member designated as householder. Each sample person or housing unit

record was assigned exactly one weight to be used to produce estimates of all characteristics. For

example, if the weight given to a sample person or housing unit had the value 6, all

characteristics of that person or housing unit would be tabulated with a weight of 6. The

estimation procedure, however, did assign weights varying from person to person or housing unit

to housing unit.

The estimation procedure used to assign the weights was performed in geographically defined

weighting areas. Generally, weighting areas were formed of contiguous geographic units within

counties. Weighting areas were required to have a minimum sample of 400 people. Also,

weighting areas never crossed state or county boundaries. In small counties with a sample count

below 400 people, the minimum sample size condition was relaxed to permit the entire county to

become a weighting area.

People

Within a weighting area, the long form sample was ratio-adjusted to equal the 100-percent totals

for certain data groups. There were four stages of ratio adjustment for people. The first stage

used 21 household-type groups. The second stage used three groups with the following sampling

rates: 1-in-2, 1-in-4, and less than 1-in-4. The third stage used the dichotomy

householders/nonhouseholders and the fourth stage used 312 aggregate age-sex-race-Hispanic

origin groups. The stages were defined as follows:

Accuracy of the Data 8–15

U.S. Census Bureau, Census 2000
People

Stage I: Type of Household

Group

Family with own children under 18:

Number of people in housing unit

1 2

2 3

3 4

4 5

5 6-7

6 8 or more

Family without own children under 18:

7-12 2 through 8 or more

All other housing units:

13 1

14-19 2 through 8 or more

20 People in group quarters

21 Service Based Enumerations

Stage II: Sampling Type

Group

1 1-in-2

2 1-in-4

3 1-in-6 or 1-in-8

Stage III: Householder Status

Group

1 Householder

2 Nonhouseholder

Stage IV: Age/Sex/Race/Hispanic origin

People of Hispanic origin: Black or African American: Male:

Group Age

1 0-4

2 5-14

3 15-17

4 18-19

5 20-24

6 25-29

7 30-34

8 35-44

9 45-49

10 50-54

11 55-64

12 65-74

13 75+

14-26 Female: Same age categories as 1-13

27-52 American Indian or Alaska Native: Same gender and age categories as 1-26

53-78 Asian: Same gender and age categories as 1-26

79-104 Native Hawaiian or Pacific Islander: Same gender and age categories as 1-26

105-130 White: Same gender and age categories as 1-26

131-156 Some Other Race: Same gender and age categories as 1-26

157-312 People not of Hispanic origin: Same race, gender, and age categories as 1-156

8–16 Accuracy of the Data

U.S. Census Bureau, Census 2000
NOTE: Multiple race people were included in one of the six race groups for estimation purposes

only. Subsequent tabulations were based on the full set of responses to the race item.

The ratio estimation procedure for people was conducted within a weighting area in four stages

as follows:

Stage I.

1. Assign an initial weight to each sample person record approximately equal to the inverse of

the observed sampling rate for the weighting area.

2. Prior to iterative proportional fitting, combine categories in each of the four estimation

stages, if necessary, to increase the reliability of the ratio estimation procedure. For each

stage, any group that did not meet certain criteria for the unweighted sample count or for the

ratio of the 100-percent to the initially weighted sample count was combined with another

group in the same stage according to a specified collapsing pattern. There was an additional

criterion concerning the number of complete count people in each race/Hispanic origin

category in the second estimation stage.

3. The initial weights underwent four stages of ratio adjustment applying the grouping

procedures described above. At the first stage, the ratio of the complete census count to the

sum of the initial weights for each sample person was computed for each Stage I group. The

initial weight assigned to each person in a group was then multiplied by the Stage I group

ratio to produce an adjusted weight.

Stage II. The Stage I adjusted weights were again adjusted by the ratio of the complete census

count to the sum of the Stage I weights for sample people in each Stage II group.

Stage III. The Stage II weights were adjusted by the ratio of the complete census count to the

sum of the Stage II weights for sample people in each Stage III group.

Stage IV. The Stage III weights were adjusted by the ratio of the complete census count to the

sum of the Stage III weights for sample people in each Stage IV group.

The four stages of ratio adjustment were repeated in the order given above until the predefined

stopping criteria were met. The weights obtained from the final iteration of Stage IV were

assigned to the sample person records. However, to avoid complications in rounding for tabulated

data, only whole number weights were assigned. For example, if the final weight of the people in

a particular group was 7.25, then 1/4 of the sample people in this group were randomly assigned

a weight of 8, while the remaining 3/4 received a weight of 7.

Housing Units

The ratio estimation procedure for housing units was essentially the same as that for people,

except that vacant housing units were treated separately. The occupied housing unit ratio

estimation procedure was done in three stages. The first stage for occupied housing units used 19

household type groups while the second stage used three sampling type groups. The third stage

used 24 race-Hispanic origin-tenure groups. The vacant housing unit ratio estimation procedure

was done in a single stage with three groups. The stages for ratio estimation for housing units

were as follows:

Occupied Housing Units

Stage I: Type of Household

Group

Family with own children under 18:

Number of people in housing unit

1 2

2 3

3 4

4 5

Accuracy of the Data 8–17

U.S. Census Bureau, Census 2000
Occupied Housing Units—Con.

5 6-7

6 8 or more

Family without own children under 18:

7-12 2 through 8 or more

All other housing units:

13 1

14-19 2 through 8 or more

Stage II: Sampling Type

Group

1 1-in-2

2 1-in-4

3 1-in-6 or 1-in-8

Stage III: Race and Hispanic Origin of Householder/Tenure

Group Owner: Hispanic origin:

1 Black or African American

2 American Indian or Alaska Native

3 Asian

4 Native Hawaiian or Pacific Islander

5 White

6 Some Other Race

7-12 Owner: Not of Hispanic origin: Same race categories as 1-6

13-24 Renter: Same Hispanic origin and race categories as 1-12

Vacant Housing Units

Group

1 Vacant for rent

2 Vacant for sale

3 Other vacant

The estimates produced by this estimation procedure realize some of the gains in sampling

efficiency that would have resulted if the population had been stratified into the ratio-estimation

groups before sampling and if the sampling rate had been applied independently to each group.

The net effect is a reduction in both the standard error and the possible bias of most estimated

characteristics to levels below what would have resulted from simply using the initial, unadjusted

weight. A by-product of this estimation procedure is that the estimates from the sample will, for

the most part, be consistent with the complete count figures for the population and housing unit

groups used in the estimation procedure.

CONSISTENCY WITH COMPLETE COUNTS

As described earlier, Census 2000 long form data were collected on a sample basis. Cities and

incorporated places were used to determine sampling rates to support estimates for these areas.

As a result, each city, incorporated place, school district, and county had addresses selected in the

long form sample.

To produce estimates from the long form data, weighting was performed at the weighting area

level. In forming weighting areas, trade-offs between reliability, consistency of the estimates, and

complexity of the implementation were considered. The decision was made to form weighting

areas consisting of small geographic areas with at least 400 sample persons (or about 200 or

more completed long forms) that do not cross county boundaries. No other boundary constraints

were imposed. Thus, total population estimates from the long form data will agree with census

counts reported in SF 1 and SF 2 for the weighting area, county, and other higher geographic

8–18 Accuracy of the Data

U.S. Census Bureau, Census 2000
areas obtained by combining either weighting areas or counties. Differences between long form

estimates of characteristics in the SF 3 and their corresponding values in the SF 1 or SF 2 are

particularly noticeable for small places, tracts, and block groups. Examples of these

characteristics are the total number of people, the number of people reporting specific racial

categories, and the number of housing units. The official values for items reported on the short

form come from SF 1 and SF 2.

Because the weighting areas were formed at a smaller geographic level, any differential

nonresponse to long form questionnaires by demographic groups or geographical areas included

in a weighting area may introduce differences in complete counts (SF 1 and SF 2) and the SF 3

total population estimates. Also, an insufficient number of sample cases in the weighting matrix

cells could lead to differences in SF 1, SF 2, and SF 3 population totals. Thus, differences between

the census and SF 3 counts are typical and expected.

In 1990, separate tabulations were not prepared for small areas below a certain size. In contrast,

Census 2000 tabulations are being prepared for all areas to maximize data availability. This

approach may lead to a greater number of anomalous results than what may have been observed

with tabulations released from the 1990 census. A similar phenomenon occurred in the 1990

census when weighting areas respected city and place boundaries. Census counts differed from

the long form data estimates in small places. As expected, these differences were sometimes

large.

The SF 1 tables provide the official census count of the number of people in an area. The SF 3

tables provide estimates of the proportion of people with specific characteristics, such as

occupation, disability, or educational attainment. The total number of people in the SF 3 table is

provided for use as the denominator, or base, for these proportions. Estimates in the SF 3 tables

give the best estimates of the proportion of people with a particular characteristic, but the census

count is the official count of how many people are in the area.

The SF 1 gives exact numbers even for very small groups and areas; whereas, SF 3 gives

estimates for small groups and areas, such as tracts and small places, that are less exact. The goal

of SF 3 is to identify large differences among areas or large changes over time. Estimates for small

areas and small population groups often exhibit large changes from one census to the next, so

having the capability to measure them is worthwhile.

NONSAMPLING ERROR

In any large-scale statistical operation, such as Census 2000, human and processing errors occur.

These errors are commonly referred to as nonsampling errors. Such errors include: not

enumerating every household or every person in the population, failing to obtain all required

information from the respondents, obtaining incorrect or inconsistent information, and recording

information incorrectly. In addition, errors can occur during the field review of the enumerators’

work, during clerical handling of the census questionnaires, or during the electronic processing of

the questionnaires.

While it is impossible to completely eliminate nonsampling error from an operation as large and

complex as the decennial census, the Census Bureau attempts to control the sources of such error

during the data collection and processing operations. The primary sources of nonsampling error

and the programs instituted to control this error in Census 2000 are described below. The success

of these programs, however, was contingent upon how well the instructions actually were carried

out during the census. As part of the Census 2000 evaluation program, both the effects of these

programs and the amount of error remaining after their application will be evaluated.

Types of Nonsampling Error

Nonresponse. Nonresponse to particular questions on the census questionnaire or the failure to

obtain any information for a housing unit allows for the introduction of bias into the data because

the characteristics of the nonrespondents have not been observed and may differ from those

reported by respondents. As a result, any imputation procedure using respondent data may not

completely reflect these differences either at the elemental level (individual person or housing

Accuracy of the Data 8–19

U.S. Census Bureau, Census 2000
unit) or on average. As part of the data processing, people and/or housing units for which sample

data were not collected may have their data imputed to ensure a sufficient number of sample

people/housing units in a given area. As a result, the imputation rates for some small geographic

areas, such as tracts, are very high. The Census Bureau cautions data users about the impact the

higher imputation rates may have on the sample characteristics. Some protection against the

introduction of large biases is afforded by minimizing nonresponse. Characteristics for the

nonresponses were imputed by using reported data for a person or housing unit with similar

characteristics.

Respondent and enumerator error. The person answering the mail questionnaire for a

household or responding to the questions posed by an enumerator could serve as a source of

error, although the question wording was extensively tested in several experimental studies prior

to the census. The mail respondent may overlook or misunderstand a question, or answer a

question in a way that cannot be interpreted correctly by the data capture system. Also, the

enumerator may: misinterpret or otherwise incorrectly record information given by a respondent,

fail to collect some of the information for a person or household, or collect data for households

that were not designated as part of the sample. Enumerators were monitored carefully to

minimize these types of field enumeration problems. Field staff was prepared for their tasks by

using standardized training packages that included hands-on experience with census materials. A

sample of the households interviewed by each enumerator was reinterviewed to control for the

possibility of fabricated data being submitted by enumerators.

Processing error. The many phases involved in processing the census data represent potential

sources for the introduction of nonsampling error. The processing of the census questionnaires

completed by enumerators included field review by the crew leader, check-in, and transmittal of

completed questionnaires. No field reviews were done on the mail return questionnaires. Error

may also be introduced by the misinterpretation of data by the data capture system, or the failure

to capture all the information that the respondents or enumerators provided on the forms.

Write-in entries go through coding operations, which may also be a source of processing error in

the data. Many of the various field, coding, and computer operations undergo a number of quality

control checks to help ensure their accurate application.

Reduction of Nonsampling Error

A number of techniques were implemented during the census planning and development stages

to reduce various types of nonsampling errors. Quality assurance methods were used throughout

the data collection and processing phases of the census to improve the quality of the data. In

addition, the Census Bureau implemented a reinterview program to minimize errors in the

data-collection phase for enumerator-filled questionnaires.

Several initiatives were implemented during Census 2000 to minimize the undercoverage of

population and housing units and to reduce costs. These programs were developed based on

experience from the 1990 decennial census and results from the Census 2000 testing cycle. They

include:

• Be Counted questionnaires – unaddressed forms requesting all short form data and a few

additional items – were available in public locations for people who believed they were not

otherwise counted.

• An introductory letter was sent to all Mailout/Mailback addresses and many addresses in

Update/Leave areas prior to the mailing of the census form. A reminder postcard was also sent

to these addresses.

• Forms in Spanish and other languages were mailed to those who requested them by returning

the introductory letter.

• A well-publicized, toll-free telephone number was available to answer questions about the

census forms. Responses from people in households who received a short form could be taken

over the telephone.

8–20 Accuracy of the Data

U.S. Census Bureau, Census 2000
• Under the Local Update of Census Addresses (LUCA) program, local officials had the opportunity

to address specific concerns about the accuracy and completeness of the Master Address File

before mailings began.

Resolving Multiple Responses

There were multiple modes of response for Census 2000. Because there were various ways people

could initiate their enumeration in the census, and the fact that some people would be

enumerated during field followup, it was very likely that some people could be enumerated more

than once. A special computer process was implemented to control this type of nonsampling error

by resolving situations where more than one form was received from a particular housing unit, as

designated by its identification (ID). The process consisted of several steps. IDs that had more

than one viable return were analyzed. Within each of these IDs, the person records on each return

were compared with person records on the other return(s). People included on two or more

different returns were marked as such, and only one of the person records was used in the

creation of the household roster.

EDITING OF UNACCEPTABLE DATA

The objective of the processing operation was to produce a set of data that describes the

population as accurately and clearly as possible. In a major change from past practice, the

information on Census 2000 questionnaires generally was not edited for consistency,

completeness, or acceptability during field data collection or data capture operations. Census

crew leaders and local office clerks reviewed enumerator-filled questionnaires for adherence to

specified procedures. Mail return questionnaires were not subjected to clerical review and

households were not contacted, as in previous censuses, to collect data that were missing from

census returns.

Most census questionnaires received by mail from respondents as well as those filled by

enumerators were processed through a new contractor-built image scanning system that used

optical mark and character recognition to convert the responses into computer files. The optical

character recognition, or OCR, process used several pattern and context checks to estimate

accuracy thresholds for each write-in field. The system also used ‘‘soft edits’’ on most interpreted

numeric write-in responses to decide whether the field values read by the machine interpretation

were acceptable. If the value read had a lower than acceptable accuracy threshold or was outside

the soft edit range, the image of the item was displayed to a keyer who then entered the

response.

To control the possible creation of erroneous people from questionnaires containing stray marks

or completed incorrectly, the data capture system included an edit for the number of people

indicated on each mail return and enumerator-filled questionnaire. If the edit failed, the

questionnaire image was reviewed at a workstation by an operator. The operator identified

erroneous person records and corrected OCR interpretation errors in the population count field.

At Census Bureau headquarters, the mail response data records were subjected to a computer edit

that identified households exhibiting a possible coverage problem and those with more than six

household members – the maximum number of people who could be enumerated on a mail

questionnaire. Attempts were made to contact these households on the telephone to correct the

count inconsistency and to collect census data for those people for whom there was no room on

the questionnaire.

Incomplete or inconsistent information on the questionnaire data records was assigned acceptable

values using imputation procedures during the final automated edit of the collected data. As in

previous censuses, the general procedure for changing unacceptable entries was to assign an

entry for a person that was consistent with entries for people with similar characteristics.

Assigning acceptable codes in place of blanks or unacceptable entries enhances the usefulness of

the data.

Another way in which corrections were made during the computer editing process was

substitution. Substitution assigned a full set of characteristics for people in a household. If there

was an indication that a household was occupied by a specified number of people but the

Accuracy of the Data 8–21

U.S. Census Bureau, Census 2000
questionnaire contained no information for people within the household, or the occupants were

not listed on the questionnaire, the Census Bureau selected a previously accepted household of

the same size and substituted its full set of characteristics for this household.

Table A. Unadjusted Standard Error for Estimated Totals

[Based on a 1-in-6 simple random sample]

Estimated total1

Size of publication area2

500 1,000 2,500 5,000 10,000 25,000 50,000 100,000 250,000 500,000 1,000,000 5,000,000 10,000,000 25,000,000

50 . . . . . . . . 15 15 16 16 16 16 16 16 16 16 16 16 16 16

100 . . . . . . . 20 21 22 22 22 22 22 22 22 22 22 22 22 22

250 . . . . . . . 25 31 34 34 35 35 35 35 35 35 35 35 35 35

500 . . . . . . . - 35 45 47 49 49 50 50 50 50 50 50 50 50

1,000 . . . . . . - - 55 63 67 69 70 70 71 71 71 71 71 71

2,500 . . . . . . - - - 79 97 106 109 110 111 112 112 112 112 112

5,000 . . . . . . - - - - 112 141 150 154 157 157 158 158 158 158

10,000 . . . . . - - - - - 173 200 212 219 221 222 223 223 224

15,000 . . . . . - - - - - 173 229 252 266 270 272 273 274 274

25,000 . . . . . - - - - - - 250 306 335 345 349 353 353 353

75,000 . . . . . - - - - - - - 306 512 565 589 608 610 611

100,000 .... - - - - - - - - 548 632 671 700 704 706

250,000 .... - - - - - - - - - 791 968 1090 1104 1112

500,000 .... - - - - - - - - - - 1118 1500 1541 1565

1,000,000 . . . - - - - - - - ---- - 2000 2121 2191

5,000,000 . . . - - - - - - - - - - - - 3536 4472

10,000,000 . . - - - ---- - - - - - - 5477

1

For estimated totals larger than 10,000,000, the standard error is somewhat larger than the table values. Use the

formula given below to calculate the standard error.

SEY

ˆ  5Yˆ (1  Y

ˆ

N)

N = Size of publication area

Y

ˆ = Estimate of characteristic total

The 5 in the above equation is based on a 1-in-6 sample and is derived from the inverse of the sampling rate minus

one, i.e.,5=6 1.

2

The total count of people, housing units, households, or families in the area if the estimated total is a person,

housing unit, household, or family characteristic, respectively.

8–22 Accuracy of the Data

U.S. Census Bureau, Census 2000
Table B. Unadjusted Standard Error in Percentage Points for Estimated Percentages

[Based on a 1-in-6 simple random sample]

Estimated

percentage

Base of estimated percentage1

500 750 1,000 1,500 2,500 5,000 7,500 10,000 25,000 50,000 100,000 250,000 500,000

2 or 98 . . . . . . . . . 1.4 1.1 1.0 0.8 0.6 0.4 0.4 0.3 0.2 0.1 0.1 0.1 0.0

5 or 95 . . . . . . . . . 2.2 1.8 1.5 1.3 1.0 0.7 0.6 0.5 0.3 0.2 0.2 0.1 0.1

10 or 90. . . . . . . . . 3.0 2.4 2.1 1.7 1.3 0.9 0.8 0.7 0.4 0.3 0.2 0.1 0.1

15 or 85. . . . . . . . . 3.6 2.9 2.5 2.1 1.6 1.1 0.9 0.8 0.5 0.4 0.3 0.2 0.1

20 or 80. . . . . . . . . 4.0 3.3 2.8 2.3 1.8 1.3 1.0 0.9 0.6 0.4 0.3 0.2 0.1

25 or 75. . . . . . . . . 4.3 3.5 3.1 2.5 1.9 1.4 1.1 1.0 0.6 0.4 0.3 0.2 0.1

30 or 70. . . . . . . . . 4.6 3.7 3.2 2.6 2.0 1.4 1.2 1.0 0.6 0.5 0.3 0.2 0.1

35 or 65. . . . . . . . . 4.8 3.9 3.4 2.8 2.1 1.5 1.2 1.1 0.7 0.5 0.3 0.2 0.2

50. . . . . . . . . . . . . 5.0 4.1 3.5 2.9 2.2 1.6 1.3 1.1 0.7 0.5 0.4 0.2 0.2

1

For a percentage and/or base of percentage not shown in the table, use the formula given below to calculate the

standard error. Use this table only for proportions; that is, where the numerator is a subset of the denominator.

SEpˆ (5

B)pˆ100  pˆ

B = Base of estimated percentage

pˆ = Estimated percentage

The 5 in the above equation is based on a 1-in-6 sample and is derived from the inverse of the sampling rate minus

one, i.e.,5=6 1.

Accuracy of the Data 8–23

U.S. Census Bureau, Census 2000
Chapter 9.

User Updates

User updates supply data users with additional or corrected information that becomes available

after the technical documentation or files are prepared. They are issued as Count Question Resolution Notes, Data Notes, Geography Notes, and Technical Documentation Notes in a numbered

series and are available in portable document format (PDF) on our Web site at

http://www.census.gov.

If you print the documentation, please file the user updates cover sheet behind this notice. If

there are technical documentation replacement pages, they should be filed in their proper location

and the original pages destroyed.

User Updates 9–1

U.S. Census Bureau, Census 2000
Summary File 4

Data Note 1

Users may encounter differences in Table PCT126, Median Nonfamily Household Income in 1999

(dollars), in Summary File 4 and the corresponding tables, P156A through P156I, in Summary

File 3. Median incomes for nonfamily households by race in Summary File 3 were calculated from

a 38-category income distribution rather than the standard 39-category income distribution. The

38-category distribution collapsed the two highest categories ($175,000 - $199,999 and

$200,000 and over) into a single category of $175,000 and over. All medians in Summary File 4

were calculated from the following standard 39-catgeory income distribution.

Standard 39-category income distribution

Less than $2,500 $32,500 to $34,999 $65,000 to $67,499

$2,500 to $4,999 $35,000 to $37,499 $67,500 to $69,999

$5,000 to $7,499 $37,500 to $39,999 $70,000 to $72,499

$7,500 to $9,999 $40,000 to $42,499 $72,500 to $74,999

$10,000 to $12,499 $42,500 to $44,999 $75,000 to $79,999

$12,500 to $14,999 $45,000 to $47,499 $80,000 to $84,999

$15,000 to $17,499 $47,500 to $49,999 $85,000 to $89,999

$17,500 to $19,999 $50,000 to $52,499 $90,000 to $99,999

$20,000 to $22,499 $52,500 to $54,999 $100,000 to $124,999

$22,500 to $24,999 $55,000 to $57,499 $125,000 to $149,999

$25,000 to $27,499 $57,500 to $59,999 $150,000 to $174,999

$27,500 to $29,999 $60,000 to $62,499 $175,000 to $199,999

$30,000 to $32,499 $62,500 to $64,999 $200,000 or more

April 2003

U.S. Census Bureau, Census 2000
Summary File 4

Data Note 2

COMPARING SF 4 ESTIMATES WITH CORRESPONDING VALUES IN SF 1 AND SF 2

As in earlier censuses, the responses from the sample of households reporting on long forms

must be weighted to reflect the entire population. Specifically, each responding household represents, on average, six or seven other households who reported using short forms.

One consequence of the weighting procedures is that each estimate based on the long form

responses has an associated confidence interval. These confidence intervals are wider (as a percentage of the estimate) for geographic areas with smaller populations and for characteristics that

occur less frequently in the area being examined (such as the proportion of people in poverty in a

middle-income neighborhood).

In order to release as much useful information as possible, statisticians must balance a number of

factors. In particular, for Census 2000, the Bureau of the Census created weighting

areas—geographic areas from which about two hundred or more long forms were

completed—which are large enough to produce good quality estimates. If smaller weighting areas

had been used, the confidence intervals around the estimates would have been significantly

wider, rendering many estimates less useful due to their lower reliability.

The disadvantage of using weighting areas this large is that, for smaller geographic areas within

them, the estimates of characteristics that are also reported on the short form will not match the

counts reported in SF 1 or SF 2. Examples of these characteristics are the total number of people,

the number of people reporting specific racial categories, and the number of housing units. The

official values for items reported on the short form come from SF 1 and SF 2.

The differences between the long form estimates in SF 4 and values in SF 1 or SF 2 are particularly

noticeable for the smallest places, tracts, and block groups. The long form estimates of total

population and total housing units in SF 4 will, however, match the SF 1 and SF 2 counts for larger

geographic areas such as counties and states, and will be essentially the same for medium and

large cities.

This phenomenon also occurred for the 1990 Census, although in that case, the weighting areas

included relatively small places. As a result, the long form estimates matched the short form

counts for those places, but the confidence intervals around the estimates of characteristics collected only on the long form were often significantly wider (as a percentage of the estimate).

SF 1 gives exact numbers even for very small groups and areas; whereas, SF 4 gives estimates for

small groups and areas such as tracts and small places that are less exact. The goal of SF 4 is to

identify large differences among areas or large changes over time. Estimates for small areas and

small population groups often do exhibit large changes from one census to the next, so having

the capability to measure them is worthwhile.

April 2003

U.S. Census Bureau, Census 2000
Summary File 4

Data Note 3 – Updated June 2004

In July 2002, the Census Bureau issued the following Data Note 4 regarding the Census 2000 Summary File 3 (SF3) data:

The Census Bureau is aware there may be a problem or problems in the employment-status

data of Census 2000 Summary File 3 (including tables P38, P43-46, P149A-1, P150A-I, PCT35,

PCT69A-1, and PCT 70A-1). The labor force data for some places where colleges are located

appear to overstate the number in the labor force, the number unemployed, and the percent

unemployed, probably because of reporting or processing errors. The exact cause is

unknown, but the Census Bureau will continue to research the problem.

The above issue relates to tables PCT66, PCT79-PCT81, PCT83, and PCT200 in SF 4. Our

further research into this ‘‘college-town’’ issue indicates that the problem extended beyond places

with colleges to the country in general. We learned that it stems from the tendency of many

working-age people living in civilian noninstitutional group quarters (GQ), such as college dormitories, worker dormitories, and group homes (for the mentally ill or physically handicapped), to

exhibit a particular pattern of entries to the employment questions in Census 2000.1 We now estimate that the pattern affected the employment data for about 15 percent of the civilian noninstitutional GQ population 16 years of age and over in the United States, or around 500,000 people.

It had an impact on the Census 2000 labor force statistics for the entire country, but its effects

were most visible and substantial for places, such as college towns, with high concentrations of

people living in civilian noninstitutional group quarters.

In Census 2000, the majority of people in the GQ population were enumerated by the Individual

Census Report (ICR) form, which collected employment data in a battery of six questions (questions 23, 27a-e). The responses to these questions were captured and fed into a set of rules

(called the Employment Status Recode (ESR) edit) that used the combined information from all six

questions to assign each person to one of the following four employment-status categories: not in

universe (all people less than 16 years old), employed, unemployed, and not in labor force.

For a significant segment of the GQ population, a so-called ‘‘3/3’’ response pattern was entered

into the ESR edit.2 This pattern is shown in the following table:

3/3 Input Pattern From ICR Forms

Question

numberon

ICR

Question wording

Entry

23 LAST WEEK, did you do ANY work for either pay or profit? Missing

27a LAST WEEK, were you on layoff from a job? Missing

27b LAST WEEK, were you TEMPORARILY absent from a job or business? Missing

27c (For people on layoff) Have you been informed that you will be recalled to work within the

next 6 months OR been given a date to return to work? Yes

27d Have you been looking for work during the last four weeks? Yes

27e LAST WEEK, could you have started a job if offered one, or returned to work if recalled? Yes

1

The pattern also appeared frequently for people in institutional group quarters, such as prisons and juvenile institutions, but because of the way employment categories are defined, it had no impact on the employment data for these people. 2

‘‘3/3’’ refers to the fact that the responses to the first three questions, which appeared on page 4 of the

ICR, are all missing; and those responses to the last three questions, which were on page 5 of the ICR, are all

‘‘yes.’’

U.S. Census Bureau
_______________________________________________________________________ 

U.S. Census Bureau 

The 3/3 pattern represents an incomplete set of information, since entries to the first three questions are missing. The ESR edit assigned people with this pattern to the “unemployed” category, 

because the edit had three built-in assumptions: 

 1) The respondents saw and reacted to each and every question in the employment series; 

 2) The 3/3 pattern represented the faithful recording of actual responses (or non-responses) to 

 the questions; and 

 3) People who responded in this manner were more likely to meet the official criteria for the 

 “unemployed” category than for any other category.3

Our research has revealed that most of the GQ cases with the 3/3 pattern may not have met one of 

the first two assumptions. We are still investigating, but we think that, in most cases, the pattern 

resulted from anomalies in the data collection or processing systems. Unfortunately, we cannot 

test our hypothesis by comparing the 3/3 pattern with actual reports from the respondents. The 

images of the filled-out ICR’s will not be accessible until the completion, in 2006 at the earliest, of 

the Census Bureau’s project to image the forms for delivery to the National Archives. 

The potential effect of the ESR outcome for the 3/3 pattern is to increase the count of unemployed 

people at the expense of the counts of the employed and the not-in-labor-force groups. We have 

done some research to estimate the potential impact of the phenomenon on the labor force data for 

the nation as a whole. Our preliminary estimates are that it may have incorrectly decreased the 

number of employed people by about 235,000 (the number of employed in SF3 was 129.7 million), 

reduced the number of people not in the labor force by 285,000 (SF3 figure of 78.3 million), 

increased the number of unemployed by 519,000 (SF3 figure of 7.9 million), and raised the unemployment rate by 0.4 percentage point (SF3 figure was 5.8 percent). 

Comparatively, the impact of the phenomenon on areas below the national level may be much 

greater, depending upon the relative size of the GQ population within the given area. The Census 

2000 unemployment rate for the city of Williamsburg, Virginia, for example, was 41.7 percent (our 

research indicated that this rate resulted primarily from the prevalence of the 3/3 pattern among 

residents of college dormitories, who make up a large percentage of the city’s population). To help 

data users gauge the impact of the phenomenon on their applications, and possibly to adjust for it, 

the Census Bureau released a tabulation of employment-status data for the nation, states, counties, 

and places, that was restricted to the population residing in households. This tabulation is available 

at: http://www.census.gov/hhes/www/laborfor.html

We will continue our research and report on further findings as they become available. 

_______ 3

They reported that they were looking for work and could have started a job last week. Because they did not 

report whether they had a job last week (people with a job are classified as “employed”), it is reasonable to 

classify them as “unemployed.” 

 June 2004
U.S. Census Bureau, Census 2000 

Summary File 4 

Data Note 4 

In Census 2000, during the conversion process of making the race write-in entries on the 

enumerator-filled questionnaire consistent with those in the mailout/mailback questionnaire, a 

step was inadvertently omitted. This resulted in an overstatement by about 1 million people 

reporting more than one race (or about 15 percent of the Two or More Races population). This 

overstatement almost entirely affects race combinations involving Some Other Race with the five 

race groups identified by the Office of Management and Budget (White, Black or African 

American, American Indian or Alaska Native, Asian, and Native Hawaiian or Other Pacific 

Islander). The overstatement does not significantly affect the totals for the Office of 

Management and Budget race groups reporting a single race (“race alone”) or the reporting of 

the single race and at least one other race (“race alone or in combination”). 

 March 2005 
U.S. Census Bureau, Census 2000 

Summary File 4 

Data Note 5 

There is an error in the way the imputation flag for citizenship was set in Table PCT175. This 

error led to an understatement of the number of people for whom citizenship was imputed. 

People who had their place of birth (i.e., country of birth) imputed as the United States, Puerto 

Rico, Guam, the U.S. Virgin Islands, or the Northern Marianas should also have had their 

citizenship flag set to imputed. However, this did not occur. This error will be corrected in 

future releases of the ACS data files. 

 December 2005 
U.S. Census Bureau, Census 2000 

Summary File 4 

Data Note 6 

In April 2007, the Census Bureau received feedback from an American FactFinder user that there 

was a discrepancy in Summary File 4, table PCT5 for Alpine County, California. In investigating 

the discrepancy, the Census Bureau discovered that the data are correct in the files before 

“deployment” to the American FactFinder. This means that the files we originally created, which 

we also used to create CD/DVD products, were correct, but the discrepancy occurred as we 

released or deployed the data to the American FactFinder view. We then investigated the 

problem by comparing all the Census 2000 data to determine if other differences existed. Four 

Census 2000 summary files (Summary Files 1, 2, 3, and 4) contained discrepancies. There were 

no discrepancies in the Redistricting Data (Public Law 94-171) Summary File, the 110th 

Congressional District Summary Files, or the summary files for the Island Areas (American 

Samoa, Guam, the U.S. Virgin Islands, and the Commonwealth of the Northern Mariana Islands). 

The document Detail of the Census 2000 SF 1 - SF 4 Data Discrepancies summarizes our 

findings for the comparison of close to 7 billion data points in Census 2000. We are confident 

that these differences only occurred in data that were deployed before August 2003. 

On May 24, 2007, the Census Bureau re-deployed the correct data for Summary Files 1, 2, 3, and 

4 to American FactFinder. 

 June 2007 
Summary File 4

INDEX TO SUMMARY FILE 4 GEOGRAPHY NOTES

Note Geographic area

1 Alaska

2 California

3 Connecticut

4 Florida

5 Georgia

6 Nebraska

7 Tennessee

8 Wisconsin

1

U.S. Census Bureau, Census 2000
Summary File 4

Geography Note 1

Alaska: 02

Nelson Lagoon Alaska Native village statistical area (ANVSA) (AIANHH 7025) erroneously contains block 2010, census tract 1 (000100) in Aleutians East census area (01598), Aleutians East

Borough (013). This block should have not been coded to any ANVSA (9999). This is incorrect in

both the PL 94-171 data products and Summary File (SF) data products.

This note applies to American FactFinder (AFF), CD-ROM, and redistricting data downloaded

from the FTP site.

Internal Errata ID 02-003

July 2003

U.S. Census Bureau, Census 2000
Summary File 4

Geography Note 2

California: 06

Los Angeles city (FIPS code 44000) erroneously contains block 1011, census tract 4002.03

(400203) in East San Gabriel Valley CCD (FIPS code 90810), Los Angeles County (FIPS code 037),

CA (FIPS code 06). This block should have been coded to the place Balance of East San Gabriel Valley CCD (FIPS code 99999). This is incorrect in both the PL 94-171 data products and Summary

File (SF) data products.

This note applies to American FactFinder (AFF), CD-ROM, and redistricting data downloaded

from the FTP side.

Internal Errata ID 06-001

July 2003

U.S. Census Bureau, Census 2000
Summary File 4

Geography Note 3

Connecticut: 09

The place record, Balance of Milford town (FIPS code 99999) erroneously contains block 2999,

census tract 1502 (150200) in Milford town (FIPS code 47535), New Haven County (FIPS code

009), CT (FIPS code 09). This block should have been coded to place Milford city (balance) (FIPS

code 47515). This is incorrect in both the PL 94-171 data products and Summary File (SF) data

products.

This note applies to American FactFinder (AFF), CD-ROM, and redistricting data downloaded

from the FTP site.

Internal Errata ID 09-001

July 2003

U.S. Census Bureau, Census 2000
Summary File 4

Geography Note 4

Florida: 12

Yeehaw Junction CDP (FIPS code 78975) in St. Cloud CCD (FIPS code 93029), Osceola County

(FIPS code 097), FL (FIPS code 12) should be named Buenaventura Lakes with FIPS code 09415. In

1990, this area was named Buena Ventura Lakes (FIPS code 09415). The area that should have

been Yeehaw Junction CDP was erroneously not defined and does not appear in any Census 2000

products.

Internal Errata ID 12-001

July 2003

U.S. Census Bureau, Census 2000
Summary File 4

Geography Note 5

Georgia: 13

The place record Balance of Bogart CCD (FIPS code 99999) erroneously contains blocks 2021

and 2023, census tract 1305 (130500) in Bogart CCD (FIPS code 90138), Clarke County (FIPS code

059). Both blocks should have been coded to Bogart town (FIPS code 09068).

The place record Balance of Winterville CCD (FIPS code 99999) erroneously contains blocks

1008 and 1009, census tract 1406 (140600) in Winterville CCD (93402), Clarke County (FIPS code

059). Both blocks should have been coded to the place Athens-Clarke County (balance) (FIPS code

03440). This is incorrect in both the PL 94-171 data products and Summary File (SF) data products.

This note applies to American FactFinder (AFF), CD-ROM, and redistricting data downloaded

from the FTP site.

Internal Errata ID 13-001

July 2003

U.S. Census Bureau, Census 2000
Summary File 4

Geography Note 6

Nebraska: 31

In the PL 94-171 and Summary File (SF) data products, Cisco CDP (FIPS code 09112) in Lisco

precinct (FIPS code 91790), Garden County (FIPS code 069), NE (FIPS code 31) should be named

Lisco with FIPS code of 28315.

Internal Errata ID 31-002

July 2003

U.S. Census Bureau, Census 2000
Summary File 4

Geography Note 7

Tennessee: 47

The place record Balance of Metropolitan Government CCD (FIPS code 99999) erroneously contains blocks 1001 and 1008, census tract 171 (017100) in Metropolitan Government CCD (FIPS

code 92200), Davidson County (FIPS code 037), TN (FIPS code 47). Both blocks should have been

coded to place Nashville-Davidson (balance) (FIPS code 52006). This is incorrect in both the PL

94-171 data products and Summary File (SF) data products.

Internal Errata ID 47-001

July 2003

U.S. Census Bureau, Census 2000
Summary File 4

Geography Note 8

Wisconsin: 55

The county subdivision of Scott town (FIPS code 72200), in place Balance of Scott town (FIPS

code 99999) erroneously contains blocks 2048, 2063, and 2064, census tract 203 (020300),

Brown County (FIPS code 009), WI (FIPS code 55). These blocks should have been coded to county

subdivision and place Pulaski village (FIPS code 65675).

The county subdivision of Pittsfield town (FIPS code 63075), in place Balance of Pittsfield town

(FIPS code 99999) erroneously contains block 2049, census tract 203 (020300), Brown County

(FIPS code 009). This block should have been coded to county subdivision and place Pulaski village (FIPS code 65675). This is incorrect in both the PL 94-171 data products and Summary File

(SF) data products.

Internal Errata ID 55-001

July 2003

U.S. Census Bureau, Census 2000
Summary File 4

Technical Documentation Note 1

In Chapter 4, Summary Level Sequence Chart, the geographic components for summary level

040-State, were corrected to read 00,01-49,52-95.

June 2003

U.S. Census Bureau, Census 2000
Summary File 4

Technical Documentation Note 2

The following line was erroneously omitted from the Table (Matrix) Section of Chapter 7 on

page 7–101:

Table number Table

contents

Data

dictionary

reference

name

Max

size

Data

type

PCT85 ....................................... Manufacturing PCT085007 14 9

June 2003

U.S. Census Bureau, Census 2000
Summary File 4

Technical Documentation Note 3

The text, ‘‘Construction, extraction, and maintenance occupations:’’ on page 7-112 of the Table

(Matrix) Section in the Data Dictionary was changed to read ‘‘Production, transportation, and

material moving occupations—Con.’’

June 2003

U.S. Census Bureau, Census 2000
Summary File 4

Technical Documentation Note 4

In Summary File 4 (SF 4) table PCT86, for the line ‘‘Construction traders workers except carpenters, electricians, painters, plumbers, and construction laborers,’’ ‘‘traders’’ was changed to

‘‘trades.’’ This correction was made to both Chapter 6 and Chapter 7 of the SF 4 technical documentation, as well as to the American FactFinder detailed table presentation of PCT86.

July 2003

U.S. Census Bureau, Census 2000
Summary File 4

Technical Documentation Note 5

In the Race section of the Code List appendix, the tribes with codes F49–F52 were incorrectly

listed under the tribal grouping ‘‘Monacan.’’ These tribes should have appeared under the tribal

grouping ‘‘Mono’’ as shown below:

Monacan

F48 Monacan Indian Nation

Mono

F49 Mono

F50 North Fork Rancheria

F51 Cold Springs Rancheria

F52 Big Sandy Rancheria

September 2003

U.S. Census Bureau
Summary File 4

Technical Documentation Note 6

The Language section of the Code List appendix had two spelling errors. They have been

corrected to read as follows:

772 Tahitian

971 OTO-MANGUEAN

September 2003

U.S. Census Bureau, Census 2000
Summary File 4

Technical Documentation Note 7

In Chapter 9, Geography Note 5 for Georgia erroneously referred to Athens instead of Bogart. The

technical documentation has been corrected.

September 2003

U.S. Census Bureau
U.S. Census Bureau, Census 2000 

Summary File 4 

Technical Documentation Note 8

The “Accuracy of the Data” chapter describes how to calculate standard errors for most 

estimates, but not for per capita income, which is described below. 

Computing the Standard Error of Per Capita Income 

Per capita income is the total income from all sources (salary income, retirement income, public 

assistance income, etc.) of the people in a population group divided by the number of people in 

that group. 

NPopulation

Aggregate Income CapitaPer Income = 

where NPopulation is the estimate of total people in the population group. 

A similar statistic, mean income, is like per capita income, except that the population measure 

includes only people at least 15 years of age, since income data is not collected for people 

younger than that. 

+

= N15

Aggregate Income Mean Income

where N15+ is the estimate of people at least 15 years old in the population group. 

The two measures are related by the formula: 

NPopulation

N CapitaPer Income Mean Income + = × 15

Hence, the approximate formula for estimating the standard error of per capita income is: 

NPopulation

N CapitaPerSE Income MeanSE Income + = × 15 ( () )

Methodology 

Calculating the standard error of Mean Income requires the use of an income distribution table. 

The table must provide frequency estimates of the number of people that fall within certain 

intervals. Standard available tables may be broken down by sex and whether the individual 

worked full-time, year-round in 1999. Such a table might look like this: 
U.S. Census Bureau, Census 2000 

Table 1. Sex by Work Experience in 1999 by Income in 1999 for the 

Population 15 Years and Over - Universe: Population 15 Years and 

Over 

 

Total 32,091 

Male . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15,836

 Worked full-time, year-round in 1999: . . . . . . . . . . . . . . . 6,000 

 No income . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 0 

 With income: . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,000 

 $1 to $2,499 or loss . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10

 $2,500 to $4,999 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16 

 $5,000 to $7,499 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44 

 $7,500 to $9,999 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 84 

 . 

 . 

 . 

 $100,000 or more . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 146 

Following the distribution for Male: Worked Full-Time, Year-Round in 1999 (“Wftyr”) is a similar 

distribution for males who did not work full-time, year-round in 1999 (called “Other” in the 

table) and then females who did and did not work full-time, year-round in 1999. 

1. To get the distribution of all people 15 years and older in each income interval, sum the 

four sex by work-status distributions: 

j intervalsofnumber

WftyrMaleN OtherMale Female Wftyr Female Other j j j j j

...,,2,1

_ _ _ _ ,15

=

= + + + +

2. Sum the frequencies across all intervals j to obtain an estimate of the population total: 

+ =∑ +

j

NN ,15 j 15

3. Calculate the estimated proportion of people in each income interval: 

= + 15,15 + / NNpj j

4. Calculate the mid-point (m) of each income interval from: 

( ) 2/ = +ULm jjj

where Lj

 and Uj are the lower and upper bounds of the interval. If the cth interval is openended (i.e. has no upper bound), then an approximate value for mc

 is: 

c Lm c 2

3 =

5. Estimate mean income from: 

j

j

=∑ jmpx
U.S. Census Bureau, Census 2000 

6. Estimate the standard error of mean income from: 

2 2 2

2

)(

5 )( 15

xmps

where

Designs Factor

N

xSE

j

j

= j −

××=

∑

+

Use the design factor for “Population: Household Income in 1999.” 

7. An approximation of per capita income can be computed by: 

NPopulation

N CapitaPer xIncome + ×= 15

8. Multiply the result of Step 6 by the ratio of the person estimates (

NPopulation

N15+ ) to get the 

approximate standard error for per capita income. 

Example 

This example shows the steps to estimate the standard error of per capita income for a 

population group in County A. 

1. Sum the frequency estimates in each interval in the four sub-tables of Table 1 to 

produce a distribution similar to Table 2. 
U.S. Census Bureau, Census 2000 

Table 2. Frequency Distribution for Income, People 15 years and older 

 

Total Income in 1999 Frequency 

No income . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,034

With income: 

 $1 to $2,499 or loss . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 644 

 $2,500 to $4,999 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 730 

 $5,000 to $7,499 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 876

 $7,500 to $9,999 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,299 

 $10,000 to $12,499 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,350 

 $12,500 to $14,999 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,438 

 $15,000 to $17,499 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,599 

 $17,500 to $19,999 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,688 

 $20,000 to $22,499 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,871 

 $22,500 to $24,999 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,766 

 $25,000 to $29,999 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,331 

 $30,000 to $34,999 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,923 

 $35,000 to $39,999 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,345 

 $40,000 to $44,999 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 914 

 $45,000 to $49,999 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 856 

 $50,000 to $54,999 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,134 

 $55,000 to $64,999 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 828 

 $65,000 to $74,999 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 563 

 $75,000 to $99,999 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 455 

 $100,000 or more . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 447 

Total 32,091 

2. Cumulate the frequencies over the 21 intervals for those with and without income, to 

get the population base (N15+) of 32,091 people age 15 years and over. 

3. Calculate the proportion of people in each interval by dividing the interval’s population 

estimate by the population base. The proportion of people age 15 and over in the “No 

Income” interval, p1, is 

2504.0 

091,32

034,8 p1 == . 

4. Find the midpoint mj

 for each of the 21 intervals. 

For example, the midpoint of interval 3, “$2,500 to $4,999” is 

50.749,3$ 2

999,4$500,2$

3 = +

m =

while the midpoint of the 21st interval, “$100,000 or more” is 

000,150$)000,100$( 2

3

m21 = =

The midpoint of the “No Income” interval is zero; for ”$1 to $2,499 or loss” it is $1,250. 

Necessary results for the standard error calculation are given in Table 3 along with 

totals. 
U.S. Census Bureau, Census 2000 

Table 3. Calculations for Per Capita Income 

 

Total Income in 1999 pj mj pj

mj

2

 pjmj

No Income . . . . . . . . . . . . . . . . . . . 0.2504 $0.00 $0 $0.00

With Income 

 $1 to $2,499 or loss . . . . 0.0201 $1,250.00 $31,406 $ 25.13

 $2,500 to $4,999 . . . . . . . 0.0227 $3,749.50 $319,134 $ 85.11

 $5,000 to $7,499 . . . . . . . 0.0273 $6,249.50 $1,066,236 $ 170.61

 $7,500 to $9,999 . . . . . . . 0.0405 $8,749.50 $3,100,427 $ 354.35

 $10,000 to $12,499 . . . . . 0.0421 $11,249.50 $5,327,808 $ 473.60

 $12,500 to $14,999 . . . . . 0.0448 $13,749.50 $8,469,384 $ 615.98

 $15,000 to $17,499 . . . . . 0.0498 $16,249.50 $13,149,503 $ 809.23

 $17,500 to $19,999 . . . . . 0.0526 $18,749.50 $18,491,201 $ 986.22

 $20,000 to $22,499 . . . . . 0.0583 $21,249.50 $26,324,855 $1,238.85

 $22,500 to $24,999 . . . . . 0.0550 $23,749.50 $31,022,131 $1,306.22

 $25,000 to $29,999 . . . . . 0.0726 $27,499.50 $54,901,754 $1,996.46

 $30,000 to $34,999 . . . . . 0.0599 $32,499.50 $63,267,428 $1,946.72

 $35,000 to $39,999 . . . . . 0.0419 $37,499.50 $58,920,304 $1,571.23

 $40,000 to $44,999 . . . . . 0.0285 $42,499.50 $51,476,914 $1,211.24

 $45,000 to $49,999 . . . . . 0.0267 $47,499.50 $60,240,607 $1,268.24

 $50,000 to $54,999 . . . . . 0.0353 $52,499.50 $97,293,772 $1,853.23

 $55,000 to $64,999 . . . . . 0.0258 $59,999.50 $92,878,452 $1,547.99

 $65,000 to $74,999 . . . . . 0.0175 $69,999.50 $85,748,775 $1,224.99

 $75,000 to $99,999 . . . . . 0.0142 $87,499.50 $108,717,508 $1,242.49

 $100,000 or more . . . . . . . 0.0139 $150,000.00 $312,750,000 $2,085.00

Total $1,093,497,599 $22,013.00

5. To estimate mean income of people at least 15 years old in the population group in 

County A, multiply each interval’s proportion by its midpoint and sum over all intervals 

in the universe. Table 3 shows an estimated mean income of people at least 15 years, 

x , of $22,013 

6. To estimate the standard error of mean income, first calculate the estimated population 

variance for mean income of people 15 years and older. 

430,925,608013,22599,497,093,1 2 2s = =−
U.S. Census Bureau, Census 2000 

Suppose the person observed sampling rate in County A is 14.5 percent. Suppose the 

design factor for “Population Household Income in 1999”, given in the “Less than 15 

percent” percent-in-sample column of the design factor table in the technical 

documentation, is 1.4. Use this information and the above results to calculate an 

estimated standard error for the mean income of people 15 years and older as: 

4.1430,925,608 091,32

5 xSE )( ×= ×

= $431 

 Thus the standard error on the mean income of $22,013 is $431. 

7. If the total population (including those less than 15 years old) in the population 

 group in County A is 42,297, an approximation to per capita income is: 

701,16$ 297,42

091,32 013,22$ =×

8. The standard error of the per capita income is calculated as: 

327$431$

297,42

091,32 ( CapitaPerSE Income) =×=

 Thus the standard error of the per capita income of $16,701 is $327. 

March 2004 
Summary File 4 

Technical Documentation Note 9

Table PCT125, Nonfamily Household Income in 1999, on page 7-135 was corrected to read 

“Universe: Nonfamily households” (the word “universe” was added). “Max size” was corrected to 

read “9.” 

May 2004 
Appendix A.

Census 2000 Geographic Terms and Concepts

CONTENTS

Page

Alaska Native Regional Corporation (ANRC) (See American Indian Area, Alaska Native Area,

Hawaiian Home Land) .......................................................................... A–4

Alaska Native Village (ANV) (See American Indian Area, Alaska Native Area, Hawaiian

Home Land)..................................................................................... A–5

Alaska Native Village Statistical Area (ANVSA) (See American Indian Area, Alaska Native

Area, Hawaiian Home Land).................................................................... A–5

American Indian Area, Alaska Native Area, Hawaiian Home Land ............................. A–4

American Indian Off-Reservation Trust Land (See American Indian Area, Alaska Native

Area, Hawaiian Home Land).................................................................... A–6

American Indian Reservation (See American Indian Area, Alaska Native Area, Hawaiian

Home Land)..................................................................................... A–5

American Indian Tribal Subdivision (See American Indian Area, Alaska Native Area,

Hawaiian Home Land) .......................................................................... A–6

American Samoa (See Island Areas of the United States)....................................... A–16

Area Measurement .............................................................................. A–8

Barrio (See Puerto Rico) ......................................................................... A–20

Barrio-Pueblo (See Puerto Rico) ................................................................. A–20

Block (See Census Block) ........................................................................ A–10

Block Group (BG) ................................................................................ A–8

Borough (See County (or Statistically Equivalent Entity), see County Subdivision,

see Place) ....................................................................................... A–13

Boundary Changes .............................................................................. A–9

Census Area (See County (or Statistically Equivalent Entity)) .................................. A–13

Census Block .................................................................................... A–10

Census Code (See Geographic Code) ........................................................... A–15

Census County Division (CCD) (See County Subdivision) ...................................... A–13

Census Designated Place (CDP) (See Place)..................................................... A–18

Census Division (See also Census Region)...................................................... A–11

Census Geographic Code (See Geographic Code) .............................................. A–15

Census Region (See also Census Division)...................................................... A–11

Census Subarea (See County Subdivision)...................................................... A–13

Census Tract..................................................................................... A–11

Central City (See Metropolitan Area)............................................................ A–16

Central Place (See Urban and Rural) ............................................................ A–22

City (See Place) .................................................................................. A–18

Commonwealth of the Northern Mariana Islands (See Island Areas of the United States) .... A–16

Comparability (See Boundary Changes) ........................................................ A–9

Comunidad (See Puerto Rico) ................................................................... A–20

Congressional District (CD) ..................................................................... A–12

Consolidated Metropolitan Statistical Area (CMSA) (See Metropolitan Area)................... A–16

Consolidated City (See Place) ................................................................... A–18

County (or Statistically Equivalent Entity) ...................................................... A–13

County Subdivision.............................................................................. A–13

District (See County (or Statistically Equivalent Entity))........................................ A–13

Division (See Census Division) .................................................................. A–11

Extended City (See Urban and Rural) ........................................................... A–22

Extended Place (See Urban and Rural) .......................................................... A–23

Federal Information Processing Standards (FIPS) Code (See Geographic Code) ............... A–15

Geographic Code ................................................................................ A–15

Geographic Hierarchy (See Introduction—Geographic Presentation of Data).................. A–3

Census 2000 Geographic Terms and Concepts A–1

U.S. Census Bureau, Census 2000
Geographic Presentation (See Introduction—Geographic Presentation of Data)............... A–3

Guam (See Island Areas of the United States) .................................................. A–16

Hawaiian Home Land (HHL) (See American Indian Area, Alaska Native Area, Hawaiian

Home Land)..................................................................................... A–6

Hierarchical Presentation (See Introduction—Geographic Presentation of Data) .............. A–3

Incorporated Place (See Place, see County Subdivision) ....................................... A–19

Independent City (See County (or Statistically Equivalent Entity)) ............................. A–13

Internal Point .................................................................................... A–15

Introduction—Geographic Presentation of Data ................................................ A–3

Inventory Presentation (See Introduction—Geographic Presentation of Data)................. A–3

Island (See County (or Statistically Equivalent Entity)) ......................................... A–13

Island Areas of the United States ............................................................... A–16

Joint Use Area (See American Indian Area, Alaska Native Area, Hawaiian Home Land) ....... A–4

Land Area (See Area Measurement) ............................................................. A–8

Latitude (See Internal Point)..................................................................... A–15

Longitude (See Internal Point)................................................................... A–15

Metropolitan Area (MA).......................................................................... A–16

Metropolitan Area Title and Code (See Metropolitan Area)..................................... A–17

Metropolitan Statistical Area (MSA) (See Metropolitan Area) ................................... A–17

Minor Civil Division (MCD) (See County Subdivision) .......................................... A–14

Municipality (See County (or Statistically Equivalent Entity)) .................................. A–13

Municipio (See Puerto Rico) ..................................................................... A–20

New England County Metropolitan Area (NECMA) (See Metropolitan Area) ................... A–17

Off-Reservation Trust Land (See American Indian Area, Alaska Native Area, Hawaiian Home

Land)............................................................................................ A–6

Oklahoma Tribal Statistical Area (OTSA) (See American Indian Area, Alaska Native Area,

Hawaiian Home Land) .......................................................................... A–7

Outlying Areas (See Island Areas of the United States)......................................... A–16

Parish (See County).............................................................................. A–13

Place ............................................................................................. A–18

Place Within Consolidated City (See Place) ..................................................... A–18

Population or Housing Unit Density ............................................................ A–19

Precinct (See Voting District) .................................................................... A–24

Primary Metropolitan Statistical Area (PMSA) (See Metropolitan Area)......................... A–16

Public Use Microdata Area (PUMA) .............................................................. A–19

Public Use Microdata Sample (PUMS) File (See Public Use Microdata Area) .................... A–19

Puerto Rico ...................................................................................... A–20

Region (See Census Region)..................................................................... A–11

Rural (See Urban and Rural) ..................................................................... A–22

School District ................................................................................... A–20

State (or Statistically Equivalent Entity)......................................................... A–21

State Designated American Indian Statistical Area (SDAISA) (See American Indian Area,

Alaska Native Area, Hawaiian Home Land) .................................................... A–7

State Legislative District (SLD) .................................................................. A–21

Subbarrio (See Puerto Rico) ..................................................................... A–20

Sub-MCD (See Puerto Rico) ...................................................................... A–20

Super-PUMA (See Public Use Microdata Area)................................................... A–19

Tabulation Block Group (See Block Group)...................................................... A–8

TIGER® Database ................................................................................ A–21

Town (See County Subdivision, see Place) ...................................................... A–13

Township (See County Subdivision)............................................................. A–13

Tract (See Census Tract) ......................................................................... A–11

Traffic Analysis Zone (TAZ) ...................................................................... A–21

Tribal Block Group............................................................................... A–22

Tribal Census Tract .............................................................................. A–22

Tribal Designated Statistical Area (TDSA) (See American Indian Area, Alaska Native Area,

Hawaiian Home Land) .......................................................................... A–7

Tribal Jurisdiction Statistical Area (TJSA) (See American Indian Area, Alaska Native Area,

Hawaiian Home Land) ......................................................................... A–7

Trust Land (See American Indian Area, Alaska Native Area, Hawaiian Home Land) ........... A–4

United States .................................................................................... A–22

A–2 Census 2000 Geographic Terms and Concepts

U.S. Census Bureau, Census 2000
United States Postal Service (USPS) Code (See Geographic Code).............................. A–15

Unorganized Territory (See County Subdivision) ............................................... A–14

Urban (See Urban and Rural) .................................................................... A–22

Urban and Rural ................................................................................. A–22

Urban Cluster (UC) (See Urban and Rural) ...................................................... A–23

Urban Cluster Central Place (See Urban and Rural)............................................. A–23

Urban Cluster Title and Code (See Urban and Rural) ........................................... A–22

Urban Growth Area (UGA) ....................................................................... A–23

Urban Growth Boundary (See Urban Growth Area) ............................................. A–23

Urbanized Area (UA) (See Urban and Rural) .................................................... A–22

Urbanized Area Central Place (See Urban and Rural) ........................................... A–23

Urbanized Area Title and Code (See Urban and Rural) ......................................... A–23

Village (See Place) ............................................................................... A–18

Virgin Islands of the United States (See Island Areas of the United States).................... A–16

Voting District (VTD) ............................................................................ A–24

Water Area (See Area Measurement) ............................................................ A–8

ZIP Code® (See ZIP Code® Tabulation Area) .................................................... A–24

ZIP Code® Tabulation Area (ZCTATM) ............................................................ A–24

Zona Urbana (See Puerto Rico) .................................................................. A–20

INTRODUCTION—GEOGRAPHIC PRESENTATION OF DATA

In decennial census data products, geographic entities usually are presented in an hierarchical

arrangement or as an inventory listing.

Hierarchical Presentation

An hierarchical geographic presentation shows the geographic entities in a superior/subordinate

structure. This structure is derived from the legal, administrative, or areal relationships of the

entities. The hierarchical structure is depicted in report tables by means of indentation and is

explained for computer-readable media in the geographic coverage portion of the abstract in the

technical documentation. An example of hierarchical presentation is the ‘‘standard census geographic hierarchy’’: census block, within block group, within census tract, within place, within

county subdivision, within county, within state, within division, within region, within the United

States. Graphically, this is shown as:

United States

Region

Division

State

County

County subdivision

Place (or part)

Census tract (or part)

Block group (or part)

Census block

Figure A–1, which is a diagram of the geographic hierarchy, presents this information as a series

of ‘‘nesting’’ relationships. For example, a line joining the lower-level entity ‘‘place’’ and the higherlevel entity ‘‘state’’ means that a place cannot cross a state boundary; a line linking ‘‘census tract’’

and ‘‘county’’ means that a census tract cannot cross a county line; and so forth.

Inventory Presentation

An inventory presentation of geographic entities is one in which all entities of the same type are

shown in alphabetical, code, or geographic sequence, without reference to their hierarchical relationships. Generally, an inventory presentation shows totals for entities that may be split in a hierarchical presentation, such as place, census tract, or block group. An example of a series of

Census 2000 Geographic Terms and Concepts A–3

U.S. Census Bureau, Census 2000
inventory presentations is state, followed by all the counties in that state, followed by all the

places in that state. Graphically, this is shown as:

State

County A

County B

County C

Place X

Place Y

Place Z

American Indian/Alaska Native Area/Hawaiian Home Land (AIANA/HHL) Entities

Exceptions to the standard hierarchical presentation occur in the case of some American

Indian/Alaska Native area (AIANA) entities, which do not necessarily ‘‘nest’’ within states and counties. For instance, the following American Indian entities can cross state lines: federally recognized American Indian reservations, off-reservation trust lands, tribal subdivisions, and tribal designated statistical areas. National summary data for American Indian reservations may be

presented as an alphabetical listing of reservation names followed by the state portions of each

reservation. Also, a census tract or block group delineated by American Indian tribal authorities

may be located in more than one state or county (see CENSUS TRACT, TRIBAL BLOCK GROUP, and

TRIBAL CENSUS TRACT) for the purpose of presenting census data in the American Indian/Alaska

Native area/Hawaiian home land (AIANA/HHL) hierarchy.

The diagram in Figure A–2 shows geographic relationships among geographic entities in the

AIANA/HHL hierarchy. It does not show the geographic levels ‘‘county,’’ ‘‘county subdivision,’’ and

‘‘place’’ because AIANA/HHL entities do not necessarily nest within them.

The definitions below are for geographic entities and concepts that the U.S. Census Bureau

includes in its standard data products. Not all entities and concepts are shown in any one data

product.

AMERICAN INDIAN AREA, ALASKA NATIVE AREA, HAWAIIAN HOME LAND

There are both legal and statistical American Indian, Alaska Native, and native Hawaiian entities

for which the U.S. Census Bureau provides data for Census 2000. The legal entities consist of federally recognized American Indian reservations and off-reservation trust land areas, the tribal subdivisions that can divide these entities, state recognized American Indian reservations, Alaska

Native Regional Corporations, and Hawaiian home lands. The statistical entities are Alaska Native

village statistical areas, Oklahoma tribal statistical areas, tribal designated statistical areas, and

state designated American Indian statistical areas. Tribal subdivisions can exist within the statistical Oklahoma tribal statistical areas.

In all cases, these areas are mutually exclusive in that no American Indian, Alaska Native, or

Hawaiian home land can overlap another tribal entity, except for tribal subdivisions, which subdivide some American Indian entities, and Alaska Native village statistical areas, which exist within

Alaska Native Regional Corporations. In some cases where more than one tribe claims jurisdiction

over an area, the U.S. Census Bureau creates a joint use area as a separate entity to define this

area of dual claims. The following provides more detail about each of the various American Indian

areas, Alaska Native areas, and Hawaiian home lands.

Alaska Native Regional Corporation (ANRC)

Alaska Native Regional Corporations (ANRCs) are corporate entities established to conduct both

business and nonprofit affairs of Alaska Natives pursuant to the Alaska Native Claims Settlement

Act of 1972 (Public Law 92-203). Twelve ANRCs are geographic entities that cover most of the

state of Alaska (the Annette Island Reserve–an American Indian reservation–is excluded from any

ANRC). (A thirteenth ANRC represents Alaska Natives who do not live in Alaska and do not identify

with any of the 12 corporations; the U.S. Census Bureau does not provide data for this ANRC

because it has no geographic extent.) The boundaries of ANRCs have been legally established.

A–4 Census 2000 Geographic Terms and Concepts

U.S. Census Bureau, Census 2000
The U.S. Census Bureau offers representatives of the 12 nonprofit ANRCs the opportunity to

review and update the ANRC boundaries. The U.S. Census Bureau first provided data for ANRCs

for the 1990 census.

Each ANRC is assigned a five-digit Federal Information Processing Standards (FIPS) code, which is

assigned in alphabetical order by ANRC name.

Alaska Native Village Statistical Area (ANVSA)

Alaska Native village statistical areas (ANVSAs) are statistical entities that represent the densely

settled portion of Alaska Native villages (ANVs), which constitute associations, bands, clans, communities, groups, tribes or villages, recognized pursuant to the Alaska Native Claims Settlement

Act of 1972 (Public Law 92-203). ANVSAs are reviewed and delineated by officials of the ANV (or

officials of the Alaska Native Regional Corporation (ANRC) in which the ANV is located if no ANV

official chooses to participate in the delineation process) solely for data presentation purposes.

An ANVSA may not overlap the boundary of another ANVSA, an American Indian reservation, or a

tribal designated statistical area. The U.S. Census Bureau first provided data for ANVSAs for the

1990 census.

Each ANVSA is assigned a national four-digit census code ranging from 6000 through 7999. Each

ANVSA also is assigned a state-based five-digit Federal Information Processing Standards (FIPS)

code. Both the census and FIPS codes are assigned in alphabetical order by ANVSA name.

American Indian Reservation

Federal American Indian reservations are areas that have been set aside by the United States for

the use of tribes, the exterior boundaries of which are more particularly defined in the final tribal

treaties, agreements, executive orders, federal statutes, secretarial orders, or judicial determinations. The U.S. Census Bureau recognizes federal reservations as territory over which American

Indian tribes have primary governmental authority. These entities are known as colonies, communities, pueblos, rancherias, ranches, reservations, reserves, villages, Indian communities, and

Indian villages. The Bureau of Indian Affairs maintains a list of federally recognized tribal governments. The U.S. Census Bureau contacts representatives of American Indian tribal governments to

identify the boundaries for federal reservations.

Some state governments have established reservations for tribes recognized by the state. A

governor-appointed state liaison provides the names and boundaries for state recognized American Indian reservations to the U.S. Census Bureau. The names of these reservations are followed

by ‘‘(State)’’ in census data presentations.

Federal reservations may cross state boundaries, and federal and state reservations may cross

county, county subdivision, and place boundaries. For reservations that cross state boundaries,

only the portions of the reservations in a given state are shown in the data products for that state.

Lands that are administered jointly and/or are claimed by two tribes, whether federally or state

recognized, are called ‘‘joint use areas,’’ and are treated as if they are separate American Indian

reservations for data presentation purposes. The entire reservations are shown in data products

for the United States. The U.S. Census Bureau first provided data for American Indian reservations

in the 1970 census.

Each federal American Indian reservation is assigned a four-digit census code ranging from 0001

through 4999. These census codes are assigned in alphabetical order of American Indian reservation names nationwide, except that joint use areas appear at the end of the code range. Each state

American Indian reservation is assigned a four-digit census code ranging from 9000 through

9499. Each American Indian reservation also is assigned a five-digit Federal Information Processing Standards (FIPS) code; because FIPS codes are assigned in alphabetical sequence within each

state, the FIPS code is different in each state for reservations that include territory in more than

one state.

Census 2000 Geographic Terms and Concepts A–5

U.S. Census Bureau, Census 2000
American Indian Off-Reservation Trust Land

Trust lands are areas for which the United States holds title in trust for the benefit of a tribe (tribal

trust land) or for an individual American Indian (individual trust land). Trust lands can be alienated

or encumbered only by the owner with the approval of the Secretary of the Interior or his/her

authorized representative. Trust lands may be located on or off of a reservation. The U.S. Census

Bureau recognizes and tabulates data for reservations and off-reservation trust lands because

American Indian tribes have primary governmental authority over these lands. Primary tribal

governmental authority generally is not attached to tribal lands located off the reservation until

the lands are placed in trust.

In the U.S. Census Bureau’s data tabulations, off-reservation trust lands always are associated with

a specific federally recognized reservation and/or tribal government. Such trust lands may be

located in more than one state. Only the portions of off-reservation trust lands in a given state are

shown in the data products for that state; all off-reservation trust lands associated with a

reservation or tribe are shown in data products for the United States. The U.S. Census Bureau first

provided trust land data for off-reservation tribal trust lands in the 1980 census; in 1990, the trust

land data included both tribal and individual trust lands. The U.S. Census Bureau does not identify

restricted fee land or land in fee simple status as a specific geographic category.

In decennial census data tabulations, off-reservation trust lands are assigned a four-digit census

code and a five-digit Federal Information Processing Standards (FIPS) code that is the same as that

for the reservation with which they are associated. As with reservations, FIPS codes for

off-reservation trust lands are unique within state, so they will differ if they extend into more than

one state. The FIPS codes for such off-reservation trust lands are the same as those for the

associated reservation. In the TIGER/Line® products, a letter code–‘‘T’’ for tribal and ‘‘I’’ for

individual–

identifies off-reservation trust lands. In decennial census data tabulations, a trust land flag

uniquely identifies off-reservation trust lands. Printed reports show separate tabulations for all

off-reservation trust land areas, but do not provide separate tabulations for the tribal versus

individual trust lands. Trust lands associated with tribes that do not have a reservation are

presented and coded by tribal name, interspersed alphabetically among the reservation names.

American Indian Tribal Subdivision

American Indian tribal subdivisions are administrative subdivisions of federally recognized

American Indian reservations, off-reservation trust lands, or Oklahoma tribal statistical areas

(OTSAs), known as areas, chapters, communities, or districts. These entities are internal units of

self-government or administration that serve social, cultural, and/or economic purposes for the

American Indians on the reservations, off-reservation trust lands, or OTSAs.

The U.S. Census Bureau obtains the boundary and name information for tribal subdivisions from

tribal governments. The U.S. Census Bureau first provided data for American Indian tribal

subdivisions in the 1980 census when it identified them as ‘‘American Indian subreservation

areas.’’ It did not provide data for these entities in conjunction with the 1990 census.

Each American Indian tribal subdivision is assigned a three-digit census code that is alphabetically

in order and unique within each reservation, associated off-reservation trust land, and OTSA. Each

tribal subdivision also is assigned a five-digit Federal Information Processing Standards (FIPS)

code. FIPS codes are assigned alphabetically within state; the FIPS codes are different in each state

for tribal subdivisions that extend into more than one state.

Hawaiian Home Land (HHL)

Hawaiian home lands (HHLs) are areas held in trust for native Hawaiians by the state of Hawaii,

pursuant to the Hawaiian Homes Commission Act of 1920, as amended. The U.S. Census Bureau

obtained the names and boundaries of HHLs from state officials. HHLs are a new geographic entity

for Census 2000.

Each HHL area is assigned a national four-digit census code ranging from 5000 through 5499

based on the alphabetical sequence of each HHL name. Each HHL also is assigned a five-digit

Federal Information Processing Standards (FIPS) code in alphabetical order within the state of

Hawaii.

A–6 Census 2000 Geographic Terms and Concepts

U.S. Census Bureau, Census 2000
Oklahoma Tribal Statistical Area (OTSA)

Oklahoma tribal statistical areas (OTSAs) are statistical entities identified and delineated by the

U.S. Census Bureau in consultation with federally recognized American Indian tribes in Oklahoma

that do not currently have a reservation, but once had a reservation in that state. Boundaries of

OTSAs will be those of the former reservations in Oklahoma, except where modified by agreements with neighboring tribes for data presentation purposes. OTSAs replace the ‘‘tribal jurisdiction statistical areas’’ of the 1990 census. The U.S. Census Bureau first provided data for the

former Oklahoma reservations in conjunction with the 1980 census, when it defined a single allencompassing geographic entity called the ‘‘Historic Areas of Oklahoma (excluding urbanized

areas).’’

Each OTSA is assigned a national four-digit census code ranging from 5500 through 5999 based

on the alphabetical sequence of each OTSA’s name, except that the joint use areas appear at the

end of the code range. Each OTSA also is assigned a five-digit Federal Information Processing

Standards (FIPS) code in alphabetical order in Oklahoma.

State Designated American Indian Statistical Area (SDAISA)

State designated American Indian statistical areas (SDAISAs) are statistical entities for state recognized American Indian tribes that do not have a state recognized land base (reservation). SDAISAs

are identified and delineated for the U.S. Census Bureau by a state liaison identified by the governor’s office in each state. SDAISAs generally encompass a compact and contiguous area that contains a concentration of people who identify with a state recognized American Indian tribe and in

which there is structured or organized tribal activity. A SDAISA may not be located in more than

one state unless the tribe is recognized by both states, and it may not include area within an

American Indian reservation, off-reservation trust land, Alaska Native village statistical area, tribal

designated statistical area (TDSA), or Oklahoma tribal statistical area.

The U.S. Census Bureau established SDAISAs as a new geographic statistical entity for Census

2000, to differentiate between state recognized tribes without a land base and federally recognized tribes without a land base. For the 1990 census, all such tribal entities had been identified

as TDSAs.

Each SDAISA is assigned a four-digit census code ranging from 9500 through 9999 in alphabetical

sequence of SDAISA names nationwide. Each SDAISA also is assigned a five-digit Federal Information Processing Standards (FIPS) code in alphabetical order within state.

Tribal Designated Statistical Area (TDSA)

Tribal designated statistical areas (TDSAs) are statistical entities identified and delineated for the

U.S. Census Bureau by federally recognized American Indian tribes that do not currently have a

federally recognized land base (reservation or off-reservation trust land). A TDSA generally encompasses a compact and contiguous area that contains a concentration of people who identify with a

federally recognized American Indian tribe and in which there is structured or organized tribal

activity. A TDSA may be located in more than one state, and it may not include area within an

American Indian reservation, off-reservation trust land, Alaska Native village statistical area, state

designated American Indian statistical area (SDAISA), or Oklahoma tribal statistical area.

The U.S. Census Bureau first reported data for TDSAs in conjunction with the 1990 census, when

both federally and state recognized tribes could identify and delineate TDSAs. TDSAs now apply

only to federally recognized tribes. State recognized tribes without a land base, including those

that were TDSAs in 1990, are identified as SDAISAs, a new geographic entity for Census 2000.

Each TDSA is assigned a four-digit census code ranging from 8000 through 8999 in alphabetical

sequence of TDSA names nationwide. Each TDSA also is assigned a five-digit Federal Information

Processing Standards (FIPS) code in alphabetical order within state; because FIPS codes are

assigned within each state, the FIPS code is different in each state for TDSAs that extend into

more than one state.

Census 2000 Geographic Terms and Concepts A–7

U.S. Census Bureau, Census 2000
AREA MEASUREMENT

Area measurement data provide the size, in square units (metric and nonmetric) of geographic

entities for which the U.S. Census Bureau tabulates and disseminates data. Area is calculated from

the specific boundary recorded for each entity in the U.S. Census Bureau’s geographic database

(see TIGER® database). These area measurements are recorded as whole square meters. (To convert square meters to square kilometers, divide by 1,000,000; to convert square kilometers to

square miles, divide by 2.589988; to convert square meters to square miles, divide by

2,589,988.)

The U.S. Census Bureau provides area measurement data for both land area and total water area.

The water area figures include inland, coastal, Great Lakes, and territorial water. (For the 1990

census, the U.S. Census Bureau provided area measurements for land and total water; water area

for each of the four water classifications was available in the Geographic Identification Code

Scheme (GICS) product only.) ‘‘Inland water’’ consists of any lake, reservoir, pond, or similar body

of water that is recorded in the U.S. Census Bureau’s geographic database. It also includes any

river, creek, canal, stream, or similar feature that is recorded in that database as a twodimensional feature (rather than as a single line). The portions of the oceans and related large

embayments (such as the Chesapeake Bay and Puget Sound), the Gulf of Mexico, and the Caribbean Sea that belong to the United States and its territories are classified as ‘‘coastal’’ and ‘‘territorial’’ waters; the Great Lakes are treated as a separate water entity. Rivers and bays that empty

into these bodies of water are treated as ‘‘inland water’’ from the point beyond which they are narrower than one nautical mile across. Identification of land and inland, coastal, territorial, and

Great Lakes waters is for data presentation purposes only and does not necessarily reflect their

legal definitions.

Land and water area measurements may disagree with the information displayed on U.S. Census

Bureau maps and in the TIGER® database because, for area measurement purposes, features identified as ‘‘intermittent water’’ and ‘‘glacier’’ are reported as land area. For this reason, it may not be

possible to derive the land area for an entity by summing the land area of its component census

blocks. In addition, the water area measurement reported for some geographic entities includes

water that is not included in any lower-level geographic entity. Therefore, because water is contained only in a higher-level geographic entity, summing the water measurements for all the component lower-level geographic entities will not yield the water area of that higher-level entity. This

occurs, for example, where water is associated with a county but is not within the legal boundary

of any minor civil division. Crews-of-vessels entities (see CENSUS TRACT and CENSUS BLOCK) do

not encompass territory and, therefore, have no area measurements.

The accuracy of any area measurement data is limited by the accuracy inherent in (1) the location

and shape of the various boundary information in the TIGER® database, (2) the location and

shapes of the shorelines of water bodies in that database, and (3) rounding affecting the last digit

in all operations that compute and/or sum the area measurements.

BLOCK GROUP (BG)

A block group (BG) consists of all census blocks having the same first digit of their four-digit identifying numbers within a census tract. For example, block group 3 (BG 3) within a census tract

includes all blocks numbered from 3000 to 3999. BGs generally contain between 600 and 3,000

people, with an optimum size of 1,500 people. BGs on American Indian reservations, offreservation trust lands, and special places must contain a minimum of 300 people. (Special places

include correctional institutions, military installations, college campuses, worker’s dormitories,

hospitals, nursing homes, and group homes.)

Most BGs were delineated by local participants as part of the U.S. Census Bureau’s Participant Statistical Areas Program. The U.S. Census Bureau delineated BGs only where a local, state, or tribal

government declined to participate or where the U.S. Census Bureau could not identify a potential

local or tribal participant.

A–8 Census 2000 Geographic Terms and Concepts

U.S. Census Bureau, Census 2000
BGs never cross the boundaries of states, counties, or statistically equivalent entities, except for a

BG delineated by American Indian tribal authorities, and then only when tabulated within the

American Indian hierarchy (see TRIBAL BLOCK GROUP). BGs never cross the boundaries of census

tracts, but may cross the boundary of any other geographic entity required as a census block

boundary (see CENSUS BLOCK).

In decennial census data tabulations, a BG may be split to present data for every unique combination of American Indian area, Alaska Native area, Hawaiian home land, congressional district,

county subdivision, place, voting district, or other tabulation entity shown in the data products.

For example, if BG 3 is partly in a city and partly outside the city, there are separate tabulated

records for each portion of BG 3. BGs are used in tabulating data nationwide, as was done for the

1990 census, for all block-numbered areas in the 1980 census, and for selected areas in the 1970

census. For data presentation purposes, BGs are a substitute for the enumeration districts (EDs)

used for reporting data in many parts of the United States for the 1970 and 1980 censuses and in

all areas before 1970. Also, BGs are the lowest level of the geographic hierarchy for which the U.S.

Census Bureau tabulates and presents sample data.

BOUNDARY CHANGES

Many of the legal and statistical entities for which the U.S. Census Bureau tabulates decennial census data have had boundary changes between the 1990 census and Census 2000; that is,

between January 2, 1990, and January 1, 2000. Boundary changes to legal entities result from:

1. Annexations to or detachments from legally established governmental units.

2. Mergers or consolidations of two or more governmental units.

3. Establishment of new governmental units.

4. Disincorporations or disorganizations of existing governmental units.

5. Changes in treaties or executive orders, and governmental action placing additional lands in

trust.

6. Decisions by federal, state, and local courts.

7. Redistricting for congressional districts or county subdivisions that represent single-member

districts for election to a county governing board.

Statistical entity boundaries generally are reviewed by local, state, or tribal governments and can

have changes to adjust boundaries to visible features to better define the geographic area each

encompasses or to account for shifts and changes in the population distribution within an area.

The historical counts shown for counties, county subdivisions, places, and American Indian,

Alaska Native, and Native Hawaiian areas are not updated for such changes, and thus reflect the

population and housing units in each entity as delineated at the time of each decennial census.

Boundary changes are not reported for some entities, such as census designated places and block

groups.

Changes to the boundaries for census tracts and, for the first time, for census blocks are available

in relationship files, which are only available in computer-readable form. The census tract relationship files feature the relationship of census tracts/block numbering areas at the time of the 1990

census to census tracts for Census 2000, and vice versa, including partial relationships. For the

first time, the census tract relationship files show a measure of the magnitude of change using the

proportion of the length of roads and sides of roads contained in partial census tracts. This information can be used to proportion the data for the areas where census tracts have changed.

The census block relationship files, which are available only in computer-readable form, present

relationships of the 1990 census and Census 2000 blocks on the basis of whole blocks or part

blocks (‘‘P’’). The following relationships can be derived:

Census 2000 Geographic Terms and Concepts A–9

U.S. Census Bureau, Census 2000
—

1990 census block 2000 census block

One to one . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 601 1017

One to many . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101 P 3028

101 P 2834

Many to one. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 410 2554 P

503 2554 P

Many to many . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 404 1007 P

501 P 1007 P

502 P 1008 P

Block relationship files are available to compare the following sets of census blocks:

1990 tabulation block to 2000 collection block,

2000 collection block to 2000 tabulation block, and

1990 tabulation block to 2000 tabulation block.

Census tract relationship files and block relationship files are not geographic equivalency files. For

a true areal comparison between the census tracts/block numbering areas and blocks used for the

1990 census and the census tracts and blocks used for Census 2000 (as well as other geographic

areas), it is necessary to use the 2000 TIGER/Line® files. The 2000 TIGER/Line files will contain

1990 and 2000 boundaries for counties and statistically equivalent entities, county subdivisions,

places, American Indian areas, Alaska Native village statistical areas, census tracts, census blocks,

and by derivation from the census blocks, block groups.

CENSUS BLOCK

Census blocks are areas bounded on all sides by visible features, such as streets, roads, streams,

and railroad tracks, and by invisible boundaries, such as city, town, township, and county limits,

property lines, and short, imaginary extensions of streets and roads. Generally, census blocks are

small in area; for example, a block bounded by city streets. However, census blocks in sparsely

settled areas may contain many square miles of territory.

All territory in the United States, Puerto Rico, and the Island Areas has been assigned block numbers, as was the case for the 1990 census. To improve operational efficiency and geographic identifications, the U.S. Census Bureau has introduced different numbering systems for tabulation

blocks used in decennial census data products, and for collection blocks, used in administering

the census. (In 1990, there generally was a single numbering system.) Collection block numbers

are available only in the TIGER/Line® data products; the U.S. Census Bureau does not tabulate data

for collection blocks.

Many tabulation blocks, used in decennial census data products, represent the same geographic

area as the collection blocks used in the Census 2000 enumeration process. Where the collection

blocks include territory in two or more geographic entities, each unique piece required for data

tabulation is identified as a separate tabulation block with a separate block number. It is possible

for two or more collection blocks to be combined into a single tabulation block. This situation can

occur when a visible feature established as a collection block boundary is deleted during the field

update operation. Tabulation blocks do not cross the boundaries of any entity for which the U.S.

Census Bureau tabulates data, including American Indian areas, Alaska Native areas, Hawaiian

home lands, census tracts, congressional districts, counties, county subdivisions, places, state

legislative districts, urban and rural areas, school districts, voting districts, and ZIP Code® tabulation areas. Tabulation blocks also generally do not cross the boundaries of certain landmarks,

including military installations, national parks, and national monuments.

Tabulation blocks are identified uniquely within census tract by means of a four-digit number. (The

1990 census block numbers had three digits, with a potential alphabetic suffix.) The Census 2000

collection blocks are numbered uniquely within county (or statistically equivalent entity), and consist of four or five digits. For its Census 2000 data tabulations, the U.S. Census Bureau created a

unique set of census block numbers immediately before beginning the tabulation process. These

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U.S. Census Bureau, Census 2000
are the census block numbers seen in the data presentations. For the 1990 census, the U.S. Census Bureau created a separate block with a suffix of ‘‘Z’’ to identify crews-of-vessels population.

For Census 2000, crews-of-vessels population is assigned to the land block identified by the U.S.

Census Bureau as associated with the home port of the vessel.

Participants in certain U.S. Census Bureau-sponsored programs were able to request that line features in the TIGER® database be held as tabulation block boundaries, provided that these conformed to U.S. Census Bureau criteria. This option was available to participants in the Census

2000 Redistricting Data Program (the Block Boundary Suggestion Project), American Indian and

Alaska Native Area Tribal Review (Block Definition Project), and the District of Columbia and the

Puerto Rico Block Boundary Definition Project.

The U.S. Census Bureau introduced a different method for identifying the water areas of census

blocks. For the 1990 census, water was not uniquely identified within a census block; instead, all

water area internal to a block group was given a single block number ending in ‘‘99’’ (for example,

in block group 1, all water was identified as block 199). A suffix was added to each water block

number where the block existed in more than one tabulation entity within its block group. For

Census 2000, water area located completely within the boundary of a single land tabulation block

has the same block number as that land block. Water area that touches more than one land block

is assigned a unique block number not associated with any adjacent land block. The water block

numbers begin with the block group number followed by ‘‘999’’ and proceed in descending order

(for example, in block group 3, the numbers assigned to water areas that border multiple land

blocks are 3999, 3998, etc.). In some block groups, the numbering of land blocks might use

enough of the available numbers to reach beyond the 900 range within the block group. For this

reason, and because some land blocks include water (ponds and small lakes), no conclusions

about whether a block is all land or all water can be made by looking at the block number. The

land/water flag, set at the polygon level in the TIGER® database and shown in TIGER/Line® and

statistical data tabulation files, is the only way to know if a block is all water when viewing the

computer files. On maps, water areas are shown with a screen symbol.

CENSUS DIVISION

Census divisions are groupings of states and the District of Columbia that are subdivisions of the

four census regions. There are nine census divisions, which the U.S. Census Bureau established in

1910 for the presentation of census data. Each census division is identified by a one-digit census

code; the same number appears as the first digit in the two-digit census state code (see STATE).

Puerto Rico and the Island Areas are not part of any census region or census division. For a list of

all census regions, census divisions, and their constituent states, see Figure A–3.

CENSUS REGION

Census regions are groupings of states and the District of Columbia that subdivide the United

States for the presentation of census data. There are four census regions—Northeast, Midwest,

South, and West. Each of the four census regions is divided into two or more census divisions.

Before 1984, the Midwest region was named the North Central region. From 1910, when census

regions were established, through the 1940s, there were three census regions—North, South, and

West. Each census region is identified by a single-digit census code.

Puerto Rico and the Island Areas are not part of any census region or census division. For a list of

all census regions, census divisions, and their constituent states, see Figure A–3.

CENSUS TRACT

Census tracts are small, relatively permanent statistical subdivisions of a county or statistically

equivalent entity delineated by local participants as part of the U.S. Census Bureau’s Participant

Statistical Areas Program. The U.S. Census Bureau delineated census tracts where no local participant existed or where a local or tribal government declined to participate. The primary purpose of

Census 2000 Geographic Terms and Concepts A–11

U.S. Census Bureau, Census 2000
census tracts is to provide a stable set of geographic units for the presentation of decennial census data. This is the first decennial census for which the entire United States is covered by census

tracts. For the 1990 census, some counties had census tracts and others had block numbering

areas (BNAs). For Census 2000, all BNAs were replaced by census tracts, which may or may not

represent the same areas.

Census tracts in the United States, Puerto Rico, and the Virgin Islands of the United States generally have between 1,500 and 8,000 people, with an optimum size of 4,000 people. For American

Samoa, the Northern Mariana Islands, and Guam, the optimum size is 2,500 people. Counties and

statistically equivalent entities with fewer than 1,500 people have a single census tract. Census

tracts on American Indian reservations, off-reservation trust lands, and special places must contain a minimum of 1,000 people. (Special places include correctional institutions, military installations, college campuses, workers’ dormitories, hospitals, nursing homes, and group homes.)

When first delineated, census tracts are designed to be relatively homogeneous with respect to

population characteristics, economic status, and living conditions. The spatial size of census

tracts varies widely depending on the density of settlement. Census tract boundaries are delineated with the intention of being maintained over many decades so that statistical comparisons

can be made from decennial census to decennial census. However, physical changes in street patterns caused by highway construction, new developments, and so forth, may require occasional

boundary revisions. In addition, census tracts occasionally are split due to population growth or

combined as a result of substantial population decline.

Census tracts are identified by a four-digit basic number and may have a two-digit numeric suffix;

for example, 6059.02. The decimal point separating the four-digit basic tract number from the

two-digit suffix is shown in the printed reports and on census maps. In computer-readable files,

the decimal point is implied. Many census tracts do not have a suffix; in such cases, the suffix

field is either left blank or is zero-filled. Leading zeros in a census tract number (for example,

002502) are shown only in computer-readable files. Census tract suffixes may range from .01 to

.98. For the 1990 census, the .99 suffix was reserved for census tracts/block numbering areas

(BNAs) that contained only crews-of-vessels population; for Census 2000, the crews-of-vessels

population is included with the related census tract.

Census tract numbers range from 1 to 9999 and are unique within a county or statistically equivalent entity. The U.S. Census Bureau reserves the basic census tract numbers 9400 to 9499 for census tracts delineated within or to encompass American Indian reservations and off-reservation

trust lands that exist in multiple states or counties (see TRIBAL CENSUS TRACTS). The number

0000 in computer-readable files identifies a census tract delineated to provide complete coverage

of water area in territorial seas and the Great Lakes.

CONGRESSIONAL DISTRICT (CD)

Congressional districts (CDs) are the 435 areas from which people are elected to the U.S. House of

Representatives. After the apportionment of congressional seats among the states, based on census population counts, each state is responsible for establishing CDs for the purpose of electing

representatives. Each CD is to be as equal in population to all other CDs in the state as practicable.

The CDs in effect at the time of Census 2000 are those of the 106th Congress, whose session

began in January 1999. The CDs of the 103rd Congress (January 1993 to 1995) were the first to

reflect redistricting based on the 1990 census. These CD boundaries and numbers remained in

effect until after Census 2000, except where a state initiative or a court-ordered redistricting had

required a change. Six states redistricted for the 104th Congress (Georgia, Louisiana, Maine, Minnesota, South Carolina, and Virginia), five states redistricted for the 105th Congress (Florida, Georgia, Kentucky, Louisiana, and Texas), and three states (New York, North Carolina, and Virginia)

redistricted for the 106th Congress. The 108th Congress will be the first to reflect reapportionment and redistricting based on Census 2000 data.

CDs are identified with a two-digit Federal Information Processing Standards (FIPS) code. The code

′′00′′ is used for states with a single representative.

A–12 Census 2000 Geographic Terms and Concepts

U.S. Census Bureau, Census 2000
American Samoa, Guam, the Virgin Islands of the United States, and the District of Columbia are

represented in the House of Representatives by a delegate, and Puerto Rico by a resident commissioner, all of whom may not vote on the floor of the House of Representatives, but may vote on

legislation as it is considered by committees to which they have been named. In computerreadable data products that display a congressional district field, the two-digit FIPS code ‘‘98’’ is

used to identify such representational areas. The Northern Mariana Islands does not have representation in Congress. The FIPS code ‘‘99’’ identifies areas with no representation in Congress.

COUNTY (OR STATISTICALLY EQUIVALENT ENTITY)

The primary legal divisions of most states are termed ‘‘counties.’’ In Louisiana, these divisions are

known as parishes. In Alaska, which has no counties, the statistically equivalent entities are census areas, city and boroughs (as in Juneau City and Borough), a municipality (Anchorage), and

organized boroughs. Census areas are delineated cooperatively for data presentation purposes by

the state of Alaska and the U.S. Census Bureau. In four states (Maryland, Missouri, Nevada, and

Virginia), there are one or more incorporated places that are independent of any county organization and thus constitute primary divisions of their states; these incorporated places are known as

‘‘independent cities’’ and are treated as equivalent to counties for data presentation purposes. (In

some data presentations, they may be treated as county subdivisions and places.) The District of

Columbia has no primary divisions, and the entire area is considered equivalent to a county for

data presentation purposes. In American Samoa, the primary divisions are districts and islands; in

the Northern Mariana Islands, municipalities; in the Virgin Islands of the United States, the principal islands of St. Croix, St. John, and St. Thomas. Guam has no primary divisions, and the entire

area is considered equivalent to a county for data presentation purposes.

Each county and statistically equivalent entity is assigned a three-digit Federal Information Processing Standards code that is unique within state. These codes are assigned in alphabetical order

of county or county equivalent within state, except for the independent cities, which are assigned

codes higher than and following the listing of counties.

COUNTY SUBDIVISION

County subdivisions are the primary divisions of counties and statistically equivalent entities for

data presentation purposes. They include census county divisions, census subareas, minor civil

divisions (MCDs), unorganized territories, and incorporated places that are independent of any

MCD.

Each county subdivision is assigned a five-digit Federal Information Processing Standards (FIPS)

code in alphabetical order within each state.

Census County Division (CCD)

Census county divisions (CCDs) are county subdivisions that were delineated by the U.S. Census

Bureau, in cooperation with state and local government officials for data presentation purposes.

CCDs have been established in 21 states where there are no legally established minor civil divisions (MCDs), where the MCDs do not have governmental or administrative purposes, where the

boundaries of the MCDs are ambiguous or change frequently, and/or where the MCDs generally

are not known to the public. CCDs have no legal functions and are not governmental units.

The boundaries of CCDs usually are delineated to follow visible features and coincide with census

tracts where applicable. (In a few instances, two CCDs may constitute a single census tract.) The

name of each CCD is based on a place, county, or well-known local name that identifies its location. CCDs have been established in the following 21 states: Alabama, Arizona, California, Colorado, Delaware, Florida, Georgia, Hawaii, Idaho, Kentucky, Montana, Nevada, New Mexico, Oklahoma, Oregon, South Carolina, Tennessee, Texas, Utah, Washington, and Wyoming.

Census Subarea

Census subareas are statistical subdivisions of boroughs, census areas, city and boroughs, and

the municipality (entities that are statistically equivalent to counties) in Alaska. Census subareas

are delineated cooperatively by the state of Alaska and the U.S. Census Bureau. They were first

used for data presentation purposes in conjunction with the 1980 census.

Census 2000 Geographic Terms and Concepts A–13

U.S. Census Bureau, Census 2000
Minor Civil Division (MCD)

Minor civil divisions (MCDs) are the primary governmental or administrative divisions of a county

in many states (parish in Louisiana). MCDs represent many different kinds of legal entities with a

wide variety of governmental and/or administrative functions. MCDs are variously designated as

American Indian reservations, assessment districts, boroughs, charter townships, election districts, election precincts, gores, grants, locations, magisterial districts, parish governing authority

districts, plantations, precincts, purchases, road districts, supervisors’ districts, towns, and townships. In some states, all or some incorporated places are not located in any MCD (independent

places) and thus serve as MCDs in their own right. In other states, incorporated places are part of

the MCDs in which they are located (dependent places), or the pattern is mixed–some incorporated places are independent of MCDs and others are included within one or more MCDs. Independent cities, which are statistically equivalent to a county, also are treated as a separate MCD

equivalent in states containing MCDs. In Maine and New York, there are American Indian reservations and off-reservation trust lands that serve as MCD equivalents; a separate MCD is created in

each case where the American Indian area crosses a county boundary.

The U.S. Census Bureau recognizes MCDs in the following 28 states: Arkansas, Connecticut, Illinois, Indiana, Iowa, Kansas, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Nebraska, New Hampshire, New Jersey, New York, North Carolina, North

Dakota, Ohio, Pennsylvania, Rhode Island, South Dakota, Vermont, Virginia, West Virginia, and Wisconsin. The District of Columbia has no primary divisions, and the city of Washington is considered equivalent to an MCD for data presentation purposes. Arlington County, VA, also has no

MCDs and the entire county is designated as an MCD with the name Arlington.

In the Island Areas, the U.S. Census Bureau recognizes the following entities as MCDs:

• American Samoa: Counties (within the three districts; the two islands have no legal subdivisions).

• Northern Mariana Islands: Municipal districts.

• Guam: Election districts.

• Virgin Islands of the United States: Census subdistricts.

The MCDs in 12 states (Connecticut, Maine, Massachusetts, Michigan, Minnesota, New Hampshire,

New Jersey, New York, Pennsylvania, Rhode Island, Vermont, and Wisconsin) also serve as generalpurpose local governments that generally can perform the same governmental functions as incorporated places. The U.S. Census Bureau presents data for these MCDs in all data products in which

it provides data for places.

In eight MCD states (Illinois, Indiana, Kansas, Missouri, Nebraska, North Dakota, Ohio, and South

Dakota) the MCD townships serve as general-purpose local governments but do not have the ability to perform all the governmental functions as incorporated places. This category also includes

the counties in American Samoa. Missouri is exceptional in that it has a minority of townships that

serve as general-purpose governments (the majority of townships in Missouri fall into the category described below).

In the remaining eight MCD states (Arkansas, Iowa, Louisiana, Maryland, Mississippi, North Carolina, Virginia, and West Virginia); the counties containing precincts in Illinois and Nebraska; the

townships in Williamson County, Illinois; and the majority of townships in Missouri, the MCDs are

geographic subdivisions of the counties and are not governmental units. The MCDs in Puerto Rico

and the Island Areas (except American Samoa) also fall into this classification.

Unorganized Territory

Unorganized territories occur in 10 minor civil division (MCD) states (Arkansas, Indiana, Iowa,

Louisiana, Maine, Minnesota, North Carolina, North Dakota, Ohio, and South Dakota) where portions of counties are not included in any legally established MCD or independent incorporated

place. The U.S. Census Bureau recognizes such areas as one or more separate county subdivisions

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U.S. Census Bureau, Census 2000
for purposes of data presentation. It assigns each unorganized territory a descriptive name, followed by the designation ‘‘unorganized territory’’ or ‘‘UT.’’ Unorganized territories were first used

for data presentation purposes in conjunction with the 1960 census.

GEOGRAPHIC CODE

Geographic codes are shown primarily in computer-readable data products, such as computer

tape and CD-ROM/DVD media, including data tabulations and data tables associated with

computer-readable boundary files, but they also are shown on some U.S. Census Bureau maps.

Census codes are used only if there is no Federal Information Processing Standards (FIPS) code for

the same geographic entity or if the FIPS code is not adequate for data presentation. A code that is

not identified as either ‘‘census’’ or ‘‘FIPS’’ is usually a census code for which there is no FIPS

equivalent. Entities that use only FIPS codes in U.S. Census Bureau products are congressional district, county and statistically equivalent entity, county subdivision, subbarrio, Alaska Native

Regional Corporation, metropolitan area (that is, metropolitan statistical area, consolidated metropolitan statistical area, primary metropolitan statistical area, and New England county metropolitan area), place, and state. (A census code exists for each state, but was not assigned in alphabetical sequence and serves to organize the states by census region and census division.)

Census Code

Census codes are assigned for a variety of geographic entities, including American Indian area,

Alaska Native village statistical area, Hawaiian home land, census division, census region, urbanized area, urban cluster, state legislative district, school district, urban growth area, and voting

district. The structure, format, and meaning of census codes used in U.S. Census Bureau data

products appear in the appropriate technical documentation.

Federal Information Processing Standards (FIPS) Code

Federal Information Processing Standards (FIPS) codes are assigned for a variety of geographic

entities, including American Indian area, Alaska Native area, Hawaiian home land, congressional

district, county, county subdivision, metropolitan area, place, and state. The structure, format,

and meaning of FIPS codes used in U.S. Census Bureau data products appear in the appropriate

technical documentation.

The objective of FIPS codes is to improve the ability to use the data resources of the federal government and avoid unnecessary duplication and incompatibilities in the collection, processing,

and dissemination of data. The FIPS codes and FIPS code documentation are available online at

http://www.itl.nist.gov/fipspubs/index.htm. Further information about the FIPS 5-2, 6-4, and 9-1

publications (states, counties, and congressional districts, respectively) is available from the Geographic Areas Branch, Geography Division, U.S. Census Bureau, Washington, DC 20233-7400, telephone 301- 457-1099. Further information about the FIPS 55-DC3 publication (places, consolidated cities, county subdivisions, and noncensus locational entities) is available from the

Geographic Names Office, National Mapping Division, U.S. Geological Survey, 523 National Center,

Reston, VA 20192, telephone 703-648-4544.

United States Postal Service (USPS) Code

United States Postal Service (USPS) codes for states are used in all decennial census data products.

The codes are two-character alphabetic abbreviations. These codes are the same as the Federal

Information Processing Standards two-character alphabetic abbreviations.

INTERNAL POINT

An internal point is a set of geographic coordinates (latitude and longitude) that is located within

a specified geographic entity. A single point is identified for each entity; for many entities, this

point represents the approximate geographic center of that entity. If the shape of the entity

causes this point to be located outside the boundary of the entity or in a water body, it is relocated to land area within the entity. In computer-readable products, internal points are shown to

six decimal places; the decimal point is implied.

Census 2000 Geographic Terms and Concepts A–15

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The first character of the latitude or longitude is a plus (+) or a minus (–) sign. A plus sign in the

latitude identifies the point as being in the Northern Hemisphere, while a minus sign identifies a

location in the Southern Hemisphere. For longitude, a plus sign identifies the point as being in the

Eastern Hemisphere, while a minus sign identifies a location in the Western Hemisphere.

ISLAND AREAS OF THE UNITED STATES

The Island Areas of the United States are American Samoa, Guam, the Commonwealth of the

Northern Mariana Islands (Northern Mariana Islands), and the Virgin Islands of the United States.

The U.S. Census Bureau treats the Island Areas as entities that are statistically equivalent to states

for data presentation purposes. Geographic definitions specific to the Island Areas are shown in

the appropriate publications and documentation that accompany the data products for the Island

Areas.

Sometimes the Island Areas are referred to as ‘‘Island Territories’’ or ‘‘Insular Areas.’’ For the 1990

and previous censuses, the U.S. Census Bureau referred to the entities as ‘‘Outlying Areas.’’ The

term ‘‘U.S. Minor Outlying Islands’’ refers to certain small islands under U.S. jurisdiction in the Caribbean and Pacific: Baker Island, Howland Island, Jarvis Island, Johnston Atoll, Kingman Reef, Midway Islands, Navassa Island, Palmyra Atoll, and Wake Island.

METROPOLITAN AREA (MA)

The general concept of a metropolitan area (MA) is one of a large population nucleus, together

with adjacent communities that have a high degree of economic and social integration with that

nucleus. Some MAs are defined around two or more nuclei.

The MAs and the central cities within an MA are designated and defined by the federal Office of

Management and Budget, following a set of official standards that are published in a Federal Register Notice. These standards were developed by the interagency Federal Executive Committee on

Metropolitan Areas, with the aim of producing definitions that are as consistent as possible for all

MAs nationwide.

Each MA must contain either a place with a minimum population of 50,000 or a U.S. Census

Bureau-defined urbanized area and a total MA population of at least 100,000 (75,000 in New

England). An MA contains one or more central counties. An MA also may include one or more outlying counties that have close economic and social relationships with the central county. An outlying county must have a specified level of commuting to the central counties and also must meet

certain standards regarding metropolitan character, such as population density, urban population,

and population growth. In New England, MAs consist of groupings of cities and county subdivisions (mostly towns) rather than whole counties.

The territory, population, and housing units in MAs are referred to as ‘‘metropolitan.’’ The metropolitan category is subdivided into ‘‘inside central city’’ and ‘‘outside central city.’’ The territory,

population, and housing units located outside territory designated ‘‘metropolitan’’ are referred to

as ‘‘nonmetropolitan.’’ The metropolitan and nonmetropolitan classification cuts across the other

hierarchies; for example, generally there are both urban and rural territory within both metropolitan and nonmetropolitan areas.

To meet the needs of various users, the standards provide for a flexible structure of metropolitan

definitions that classify each MA either as a metropolitan statistical area (MSA) or as a consolidated metropolitan statistical area divided into primary metropolitan statistical areas. In New

England, there also is an alternative county-based definition of MSAs known as the New England

County Metropolitan Areas. (See definitions below.) Documentation of the MA standards and how

they are applied is available from the Population Distribution Branch, Population Division, U.S.

Census Bureau, Washington, DC 20233-8800, telephone 301-457-2419.

Central City

In each metropolitan statistical area and consolidated metropolitan statistical area, the largest

place and, in some cases, one or more additional places are designated as ‘‘central cities’’ under

the official standards. A few primary metropolitan statistical areas do not have central cities. The

A–16 Census 2000 Geographic Terms and Concepts

U.S. Census Bureau, Census 2000
largest central city and, in some cases, up to two additional central cities, are included in the title

of the metropolitan area (MA); there also are central cities that are not included in an MA title. An

MA central city does not include any part of that place that extends outside the MA boundary.

Consolidated and Primary Metropolitan Statistical Area (CMSA and PMSA)

If an area that qualifies as a metropolitan area (MA) has 1 million people or more, two or more primary metropolitan statistical areas (PMSAs) may be defined within it. Each PMSA consists of a

large urbanized county or cluster of counties (cities and towns in New England) that demonstrate

very strong internal economic and social links, in addition to close ties to other portions of the

larger area. When PMSAs are established, the larger MA of which they are component parts is designated a consolidated metropolitan statistical area (CMSA). CMSAs and PMSAs are established

only where local governments favor such designations for a large MA.

Metropolitan Statistical Area (MSA)

Metropolitan statistical areas (MSAs) are metropolitan areas (MAs) that are not closely associated

with other MAs. These areas typically are surrounded by nonmetropolitan counties (county subdivisions in New England).

Metropolitan Area Title and Code

The title of a metropolitan statistical area (MSA) contains the name of its largest central city and

up to two additional central city names, provided that the additional places meet specified levels

of population, employment, and commuting. Generally, a place with a population of 250,000 or

more is in the title, regardless of other criteria.

The title of a primary metropolitan statistical area (PMSA) may contain up to three place names, as

determined above, or up to three county names, sequenced in order of population size, from largest to smallest. A consolidated metropolitan statistical area (CMSA) title also may include up to

three names, the first of which generally is the most populous central city in the area. The second

name may be the first city or county name in the most populous remaining PMSA; the third name

may be the first city or county name in the next most populous PMSA. A regional designation may

be substituted for the second and/or third names in a CMSA title if local opinion supports such a

designation and the federal Office of Management and Budget deems it to be unambiguous and

suitable.

The titles for all metropolitan areas (MAs) also contain the U.S. Postal Service’s abbreviation for the

name of each state in which the MA is located. Each MA is assigned a four-digit Federal Information Processing Standards (FIPS) code, in alphabetical order nationwide. If the fourth digit of the

code is ‘‘2,’’ it identifies a CMSA. Additionally, there is a separate set of two-digit FIPS codes for

CMSAs, also assigned alphabetically.

New England County Metropolitan Area (NECMA)

New England county metropolitan areas (NECMAs) are defined as a county-based alternative to the

city- and town-based New England metropolitan statistical areas (MSAs) and consolidated metropolitan statistical areas (CMSAs). The NECMA defined for an MSA or a CMSA includes:

• The county containing the first-named city in that MSA/CMSA title (this county may include the

first-named cities of other MSAs/CMSAs as well), and

• Each additional county having at least half its population in the MSAs/CMSAs whose first-named

cities are in the previously identified county. NECMAs are not identified for individual primary

metropolitan statistical areas.

Central cities of a NECMA are those places in the NECMA that qualify as central cities of an MSA or

a CMSA. NECMA titles derive from the names of these central cities. Each NECMA is assigned a

four-digit Federal Information Processing Standards (FIPS) code.

Census 2000 Geographic Terms and Concepts A–17

U.S. Census Bureau, Census 2000
PLACE

Places, for the reporting of decennial census data, include census designated places, consolidated

cities, and incorporated places. Each place is assigned a five-digit Federal Information Processing

Standards (FIPS) code, based on the alphabetical order of the place name within each state. If

place names are duplicated within a state and they represent distinctly different areas, a separate

code is assigned to each place name alphabetically by primary county in which each place is

located, or if both places are in the same county, alphabetically by their legal description (for

example, ‘‘city’’ before ‘‘village’’).

Census Designated Place (CDP)

Census designated places (CDPs) are delineated for each decennial census as the statistical counterparts of incorporated places. CDPs are delineated to provide census data for concentrations of

population, housing, and commercial structures that are identifiable by name but are not within

an incorporated place. CDP boundaries usually are defined in cooperation with state, local, and

tribal officials. These boundaries, which usually coincide with visible features or the boundary of

an adjacent incorporated place or other legal entity boundary, have no legal status, nor do these

places have officials elected to serve traditional municipal functions. CDP boundaries may change

from one decennial census to the next with changes in the settlement pattern; a CDP with the

same name as in an earlier census does not necessarily have the same boundary.

For Census 2000, for the first time, CDPs did not need to meet a minimum population threshold

to qualify for tabulation of census data. For the 1990 census and earlier censuses, the U.S. Census

Bureau required CDPs to qualify on the basis of various minimum population size criteria.

Beginning with the 1950 census, the U.S. Census Bureau, in cooperation with state and local governments (and American Indian tribal officials starting with the 1990 census), identified and delineated boundaries and names for CDPs. In the data products issued in conjunction with Census

2000, the name of each such place is followed by ‘‘CDP,’’ as was the case for the 1990 and 1980

censuses. In the data products issued in conjunction with the 1950, 1960, and 1970 censuses,

these places were identified by ‘‘(U),’’ meaning ‘‘unincorporated place.’’

Hawaii is the only state that has no incorporated places recognized by the U.S. Census Bureau. All

places shown in the data products for Hawaii are CDPs. By agreement with the state of Hawaii, the

U.S. Census Bureau does not show data separately for the city of Honolulu, which is coextensive

with Honolulu County.

All places in the Northern Mariana Islands and Guam are CDPs. The Virgin Islands of the United

States has both CDPs and incorporated places. There are no CDPs in American Samoa; the U.S.

Census Bureau treats the traditional villages as statistically equivalent to incorporated places.

Consolidated City

A consolidated government is a unit of local government for which the functions of an incorporated place and its county or minor civil division (MCD) have merged. The legal aspects of this

action may result in both the primary incorporated place and the county or MCD continuing to

exist as legal entities, even though the county or MCD performs few or no governmental functions

and has few or no elected officials. Where this occurs, and where one or more other incorporated

places in the county or MCD continue to function as separate governments, even though they

have been included in the consolidated government, the primary incorporated place is referred to

as a consolidated city.

The presentation of data for consolidated cities varies depending on the geographic presentation.

In some hierarchical presentations, consolidated cities are not shown. These presentations include

the places within the consolidated city and the ‘‘consolidated city (balance).’’ Although hierarchical

presentations do not show the consolidated city, the data for it are the same as the county or

county subdivision with which it is coextensive. Other hierarchical presentations do show the consolidated city, county or county subdivision, and (balance) as separate entities.

A–18 Census 2000 Geographic Terms and Concepts

U.S. Census Bureau, Census 2000
For inventory geographic presentations, the consolidated city appears alphabetically sequenced

within the listing of places; in 1990, consolidated places appeared at the end of the listing. The

data for the consolidated city include the data for all places that are part of and within the consolidated city. The ‘‘consolidated city (balance)’’ entry shows the data for the portion of the consolidated government minus the separately incorporated places within the consolidated city, and is

shown in alphabetical sequence with other places that comprise the consolidated city. For data

presentation purposes these ‘‘balance’’ entities are treated as statistically equivalent to a place;

they have no legal basis or functions.

In summary presentations by size of place, the consolidated city is not included. The places within

consolidated cities are categorized by their size, as is the ‘‘consolidated city (balance).’’ A few

incorporated places are partially inside and partially outside a consolidated city. Data tabulations

by place will include all territory within the place, while the tabulation for the place within a consolidated city is only for part of the place.

Each consolidated city is assigned a five-digit Federal Information Processing Standards (FIPS) code

that is unique within state. The places within consolidated cities and the ‘‘consolidated city (balance)’’ also are assigned five-digit FIPS place codes that are unique within state. The code assigned

to each place within a consolidated city is the same as its regular place code; a place that is partially included in a consolidated city does not have a different code for the portions inside and

outside the consolidated city. FIPS codes are assigned based on alphabetical sequence within each

state.

Incorporated Place

Incorporated places recognized in decennial census data products are those reported to the U.S.

Census Bureau as legally in existence on January 1, 2000, under the laws of their respective

states, as cities, boroughs, city and boroughs, municipalities, towns, and villages, with the following exceptions: the towns in the New England states, New York, and Wisconsin, and the boroughs

in New York are recognized as minor civil divisions for decennial census purposes; the boroughs,

city and boroughs (as in Juneau City and Borough), and municipality (Anchorage) in Alaska are

county equivalents for decennial census statistical presentation purposes. In four states (Maryland, Missouri, Nevada, and Virginia), there are one or more incorporated places known as ‘‘independent cities’’ that are primary divisions of a state and legally not part of any county. For data

presentation purposes, the U.S. Census Bureau may treat an independent city as a county equivalent, county subdivision, and place.

The U.S. Census Bureau treats the villages in American Samoa as incorporated places because they

have their own officials, who have specific legal powers as authorized in the American Samoa

Code. The village boundaries are traditional rather than being specific, legally defined locations.

There are no incorporated places in Guam and the Northern Mariana Islands. The U.S. Census

Bureau treats the three towns in the Virgin Islands of the United States as incorporated places.

There are a few incorporated places that do not have a legal description. An incorporated place is

established to provide governmental functions for a concentration of people as opposed to a

minor civil division, which generally is created to provide services or administer an area without

regard, necessarily, to population.

POPULATION OR HOUSING UNIT DENSITY

Population and housing unit density are computed by dividing the total population or number of

housing units within a geographic entity (for example, United States, state, county, place) by the

land area of that entity measured in square kilometers or square miles. Density is expressed as

both ‘‘people (or housing units) per square kilometer’’ and ‘‘people (or housing units) per square

mile’’ of land area.

PUBLIC USE MICRODATA AREA (PUMA)

A public use microdata area (PUMA) is a decennial census area for which the U.S. Census Bureau

provides specially selected extracts of raw data from a small sample of long-form census records

that are screened to protect confidentiality. These extracts are referred to as ‘‘public use microdata

sample (PUMS)’’ files. Since 1960, data users have been using these files to create their own statistical tabulations and data summaries.

Census 2000 Geographic Terms and Concepts A–19

U.S. Census Bureau, Census 2000
For Census 2000, state, District of Columbia, and Puerto Rico participants, following U.S. Census

Bureau criteria, delineated two types of PUMAs within their states. PUMAs of one type comprise

areas that contain at least 100,000 people. The PUMS files for these PUMAs contain a 5-percent

sample of the long-form records. The other type of PUMAs, super-PUMAs, comprise areas of at

least 400,000 people. The sample size is 1 percent for the PUMS files for super-PUMAs.

PUMAs cannot be in more than one state or statistically equivalent entity. The larger 1-percent

PUMAs are aggregations of the smaller 5-percent PUMAs.

PUERTO RICO

The U.S. Census Bureau treats the Commonwealth of Puerto Rico as the statistical equivalent of a

state for data presentation purposes. Each state and statistically equivalent entity is assigned a

two-digit Federal Information Processing Standards (FIPS) code in alphabetical order by state

name, followed in alphabetical order by Puerto Rico and the Island Areas. Each state and statistically equivalent entity also is assigned the two-letter FIPS/U.S. Postal Service code.

Municipio

The primary legal divisions of Puerto Rico are termed ‘‘municipios.’’ For data presentation purposes, the U.S. Census Bureau treats a municipio as the equivalent of a county in the United

States.

Each municipio is assigned a unique three-digit Federal Information Processing Standards (FIPS)

code in alphabetical order within Puerto Rico.

Barrio, Barrio-Pueblo, and Subbarrio

The U.S. Census Bureau recognizes barrios and barrios-pueblo as the primary legal divisions of

municipios. These entities are similar to the minor civil divisions (MCDs) used for reporting decennial census data in 28 states of the United States. Subbarrios in 23 municipios are the primary

legal subdivisions of the barrios-pueblo and some barrios. The U.S. Census Bureau presents the

same types of Census 2000 data for these ‘‘sub-MCDs’’ as it does for the barrios and barriospueblo. (There is no geographic entity in the United States equivalent to the subbarrio.)

Each barrio, barrio-pueblo, and subbarrio is assigned a five-digit Federal Information Processing

Standards (FIPS) code in alphabetical order within Puerto Rico.

Zona Urbana and Comunidad

There are no incorporated places in Puerto Rico; instead, the U.S. Census Bureau provides decennial census data for two types of census designated places (CDPs): (1) zonas urbanas, representing the governmental center of each municipio, and (2) comunidades, representing other settlements. For Census 2000, there are no minimum population size requirements for CDPs. (For the

1990 census, the U.S. Census Bureau had required comunidades to have at least 1,000 people.)

Each zona urbana and comunidad is assigned a five-digit Federal Information Processing Standards (FIPS) code in alphabetical order within Puerto Rico.

Some types of geographic entities do not apply in Puerto Rico. For instance, Puerto Rico is not in

any census region or census division. In addition, the U.S. Census Bureau does not tabulate data

for state legislative districts and traffic analysis zones in Puerto Rico. (See also CONGRESSIONAL

DISTRICT (CD).)

SCHOOL DISTRICT

School districts are geographic entities within which state, county, or local officials or the Department of Defense provide public educational services for the areas residents. The U.S. Census

Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census

Bureau first provided data for school districts in conjunction with the 1970 census. For Census

2000, the U.S. Census Bureau tabulated data for three types of school districts: elementary, secondary, and unified.

A–20 Census 2000 Geographic Terms and Concepts

U.S. Census Bureau, Census 2000
Each school district is assigned a five-digit code that is unique within state. School district codes

are assigned by the Department of Education and are not necessarily in alphabetical order by

school district name.

STATE (OR STATISTICALLY EQUIVALENT ENTITY)

States are the primary governmental divisions of the United States. The District of Columbia is

treated as a statistical equivalent of a state for data presentation purposes. For Census 2000, the

U.S. Census Bureau also treats a number of entities that are not legal divisions of the United States

as statistically equivalent to a state: American Samoa, the Commonwealth of the Northern Mariana

Islands, Guam, Puerto Rico, and the Virgin Islands of the United States.

Each state and statistically equivalent entity is assigned a two-digit numeric Federal Information

Processing Standards (FIPS) code in alphabetical order by state name, followed in alphabetical

order by Puerto Rico and the Island Areas. Each state and statistically equivalent entity also is

assigned a two-letter FIPS/U.S. Postal Service code and a two-digit census code. The census code

is assigned on the basis of the geographic sequence of each state within each census division; the

first digit of the code identifies the respective division, except for Puerto Rico and the Island

Areas, which are not assigned to any region or division. The census regions, census divisions, and

their component states are listed in Figure A–3.

STATE LEGISLATIVE DISTRICT (SLD)

State legislative districts (SLDs) are the areas from which members are elected to state legislatures. The SLDs embody the upper (senate) and lower (house) chambers of the state legislature.

(Nebraska has a unicameral legislature that the U.S. Census Bureau treats as an upper-chamber

legislative area for data presentation purposes. There are, therefore, no data by lower chamber.) A

unique census code of up to three characters, identified by state participants, is assigned to each

SLD within state. The code ‘‘ZZZ’’ identifies parts of a county in which no SLDs were identified.

As an option in the Census 2000 Redistricting Data Program (Public Law 94-171), participating

states receive P.L. 94-171 census data for their SLDs (see VOTING DISTRICT (VTD)). Not all states

delineated SLDs for the purpose of presenting Census 2000 data, in which case the entire state is

treated as a single SLD coded with blanks at both levels.

TIGER® DATABASE

TIGER® is an acronym for the Topologically Integrated Geographic Encoding and Referencing (System or database). It is a digital (computer-readable) geographic database that automates the mapping and related geographic activities required to support the U.S. Census Bureau’s census and

survey programs. The U.S. Census Bureau developed the TIGER System to automate the geographic support processes needed to meet the major geographic needs of the 1990 census: producing the cartographic products to support data collection and map presentations, providing the

geographic structure for tabulation and dissemination of the collected statistical data, assigning

residential and employer addresses to the correct geographic location and relating those locations

to the geographic entities used for data tabulation, and so forth. The content of the TIGER database is undergoing continuous updates and is made available to the public through a variety of

TIGER/Line® files that may be obtained free of charge from the Internet or packaged on CD-ROM

or DVD from Customer Services, U.S. Census Bureau, Washington, DC 20233-1900; telephone

301-763-INFO (4636); Internet http://www.census.gov/geo/www/tiger.

TRAFFIC ANALYSIS ZONE (TAZ)

A traffic analysis zone (TAZ) is a statistical entity delineated by state and/or local transportation

officials for tabulating traffic-related census data–especially journey-to-work and place-of-work

statistics. A TAZ usually consists of one or more census blocks, block groups, or census tracts. For

the 1990 census, TAZs were defined as part of the Census Transportation Planning Package

(CTPP). The U.S. Census Bureau first provided data for TAZs in conjunction with the 1980 census,

when it identified them as ‘‘traffic zones.’’

Census 2000 Geographic Terms and Concepts A–21

U.S. Census Bureau, Census 2000
Each TAZ is identified by a six-character alphanumeric code that is unique within county or statistically equivalent entity. For the 1990 census, TAZ codes were unique within CTPP area, which

generally conformed to a metropolitan area.

TRIBAL BLOCK GROUP

A tribal block group (BG) is a cluster of census blocks having the same first digit of their four-digit

identifying numbers and are within a single tribal census tract. For example, tribal BG 3 consists

of all blocks within tribal tract 9406 numbered from 3000 to 3999. Where a federally recognized

American Indian reservation and/or off-reservation trust land crosses county and/or state lines,

the same tribal BG may be assigned on both sides of the state/county boundary within a tribal

census tract that is numbered from 9400 to 9499. The optimum size for a tribal BG is 1,000

people; it must contain a minimum of 300 people. (See also BLOCK GROUP (BG).)

The difference between a tribal BG and a nontribal BG is in the hierarchical presentation of the

data. A tribal BG is part of the American Indian hierarchy; that is, the tribal BG is within a tribal

census tract that is within a federally recognized American Indian reservation and/or offreservation trust land. (See INTRODUCTION—GEOGRAPHIC PRESENTATION OF DATA.)

TRIBAL CENSUS TRACT

Tribal census tracts are small, relatively permanent statistical subdivisions of a federally recognized American Indian reservation and/or off-reservation trust land. The optimum size for a tribal

census tract is 2,500 people; it must contain a minimum of 1,000 people. Where a federally recognized American Indian reservation or off-reservation trust land crosses county or state lines, the

same tribal census tract number may be assigned on both sides of the state/county boundary.

The U.S. Census Bureau uses the census tract numbers 9400 to 9499 for tribal census tracts that

cross state/county boundaries and are within or encompassing American Indian reservations and

off-reservation trust land. (See also CENSUS TRACT.)

The difference between a tribal census tract and a nontribal census tract is in the hierarchical presentation of the data. A tribal census tract is part of the American Indian hierarchy; that is, the

tribal census tract is within a federally recognized American Indian reservation and/or offreservation trust land. (See INTRODUCTION—GEOGRAPHIC PRESENTATION OF DATA.)

UNITED STATES

The United States consists of the 50 states and the District of Columbia.

URBAN AND RURAL

The U.S. Census Bureau classifies as urban all territory, population, and housing units located

within urbanized areas (UAs) and urban clusters (UCs). It delineates UA and UC boundaries to

encompass densely settled territory, which generally consists of:

• A cluster of one or more block groups or census blocks each of which has a population density

of at least 1,000 people per square mile at the time.

• Surrounding block groups and census blocks each of which has a population density of at least

500 people per square mile at the time.

• Less densely settled blocks that form enclaves or indentations, or are used to connect discontiguous areas with qualifying densities.

Rural consists of all territory, population, and housing units located outside of UAs and UCs.

Geographic entities, such as metropolitan areas, counties, minor civil divisions, and places, often

contain both urban and rural territory, population, and housing units.

This urban and rural classification applies to the 50 states, the District of Columbia, Puerto Rico,

American Samoa, Guam, the Northern Mariana Islands, and the Virgin Islands of the United States.

A–22 Census 2000 Geographic Terms and Concepts

U.S. Census Bureau, Census 2000
Urbanized Area (UA)

An urbanized area (UA) consists of densely settled territory that contains 50,000 or more people.

The U.S. Census Bureau delineates UAs to provide a better separation of urban and rural territory,

population, and housing in the vicinity of large places.

For Census 2000, the UA criteria were extensively revised and the delineations were performed

using a zero-based approach. Because of more stringent density requirements, some territory that

was classified as urbanized for the 1990 census has been reclassified as rural. (Area that was part

of a 1990 UA has not been automatically grandfathered into the 2000 UA.) In addition, some areas

that were identified as UAs for the 1990 census have been reclassified as urban clusters.

Urban Cluster (UC)

An urban cluster (UC) consists of densely settled territory that has at least 2,500 people but fewer

than 50,000 people.

The U.S. Census Bureau introduced the UC for Census 2000 to provide a more consistent and

accurate measure of the population concentration in and around places. UCs are defined using the

same criteria that are used to define UAs. UCs replace the provision in the 1990 and previous censuses that defined as urban only those places with 2,500 or more people located outside of

urbanized areas.

Urban Area Title and Code

The title of each urbanized area (UA) and urban cluster (UC) may contain up to three incorporated

place names, and will include the two-letter U.S. Postal Service abbreviation for each state into

which the UA or UC extends. However, if the UA or UC does not contain an incorporated place,

the urban area title will include the single name of a census designated place, minor civil division,

or populated place recognized by the U.S. Geological Survey’s Geographic Names Information

System.

Each UA and UC is assigned a five-digit numeric code, based on a national alphabetical sequence

of all urban area names. For the 1990 census, the U.S. Census Bureau assigned a four-digit UA

code based on the metropolitan area codes. A separate flag is included in data tabulation files to

differentiate between UAs and UCs. In printed reports, this differentiation is included in the name.

Urban Area Central Place

A central place functions as the dominant center of an urban area. The U.S. Census Bureau identifies one or more central places for each urbanized area (UA) or urban cluster (UC) that contains a

place. Any incorporated place or census designated place (CDP) that is in the title of the urban

area is a central place of that UA or UC. In addition, any other incorporated place or CDP that has

an urban population of 50,000 or an urban population of at least 2,500 people and is at least 2/3

the size of the largest place within the urban area also is a central place.

Extended Place

As a result of the urbanized area (UA) and urban cluster (UC) delineations, an incorporated place

or census designated place may be partially within and partially outside of a UA or UC. Any place

that is split by a UA or UC is referred to as an extended place.

Documentation of the UA, UC, and extended place criteria is available from the Geographic

Areas Branch, Geography Division, U.S. Census Bureau, Washington, DC 20233-7400; telephone

301-457-1099.

URBAN GROWTH AREA (UGA)

An urban growth area (UGA) is a legally defined geographic entity in Oregon that the U.S. Census

Bureau includes in the TIGER® database in agreement with the state. UGAs, which are defined

around incorporated places, are used to control urban growth. UGA boundaries, which need not

follow visible features, are delineated cooperatively by state and local officials and then confirmed

in state law. UGAs are a new geographic entity for Census 2000.

Census 2000 Geographic Terms and Concepts A–23

U.S. Census Bureau, Census 2000
Each UGA is identified by a five-digit census code, which generally is the same as the Federal

Information Processing Standards (FIPS) code for the incorporated place for which the UGA is

named. The codes are assigned alphabetically within Oregon.

VOTING DISTRICT (VTD)

Voting district (VTD) is the generic name for geographic entities, such as precincts, wards, and

election districts, established by state, local, and tribal governments for the purpose of conducting elections. States participating in the Census 2000 Redistricting Data Program as part of Public

Law 94-171 (1975) may provide boundaries, codes, and names for their VTDs to the U.S. Census

Bureau. The U.S. Census Bureau first reported data for VTDs following the 1980 census. Because

the U.S. Census Bureau requires that VTDs follow boundaries of census blocks, participating states

often adjusted the boundaries of the VTDs they submit to conform to census block boundaries for

data presentation purposes. If requested by the participating state, the U.S. Census Bureau identifies the VTDs that have not been adjusted as an ‘‘A’’ for actual in the VTD indicator field of the PL

data file. The VTD indicator for all other VTDs is shown as ‘‘P’’ for pseudo.

For Census 2000, each VTD is identified by a one- to six-character alphanumeric census code that

is unique within county. The code ‘‘ZZZZZZ’’ identifies parts of a county in which no VTDs were

identified. For a state or county that did not participate in the VTD project, the code fields are

blank.

ZIP CODE® TABULATION AREA (ZCTATM)

A ZIP Code® tabulation area (ZCTATM) is a statistical geographic entity that approximates the delivery area for a U.S. Postal Service five-digit or three-digit ZIP Code. ZCTAs are aggregations of census blocks that have the same predominant ZIP Code associated with the residential mailing

addresses in the U.S. Census Bureau’s Master Address File. Three-digit ZCTA codes are applied to

large contiguous areas for which the U.S. Census Bureau does not have five-digit ZIP Code information in its Master Address File. ZCTAs do not precisely depict ZIP Code delivery areas, and do

not include all ZIP Codes used for mail delivery. The U.S. Census Bureau has established ZCTAs as

a new geographic entity similar to, but replacing, data tabulations for ZIP Codes undertaken in

conjunction with the 1990 and earlier censuses.

A–24 Census 2000 Geographic Terms and Concepts

U.S. Census Bureau, Census 2000
Figure A–1. Standard Hierarchy of Census Geographic Entities

Census 2000 Geographic Terms and Concepts A–25

U.S. Census Bureau, Census 2000
TRIBAL S

TRIBAL CE

TRIBAL BLO

COUNTY STATE American Indian Reservation and Off-Reservation Trust Land CENSUS TRACT 

American Indian Area/Alaska Native Area/Hawaiian Home Land Hierarchy

BLOCK GROUP 

American Indian Reservations (federal) 

Off-Reservation Trust Land

Oklahoma Tribal Statistical Areas

Tribal Designated Statistical Areas 

Hawaiian Home Lands 

American Indian Reservations (state) 

State Designated American Indian Statistical Areas 

Alaska Native Regional Corporations

Alaska Native Village Statistical Areas 

TRIBAL SUBDIVISION 

A–26 Census 2000 Geographic Terms and Concepts

U.S. Census Bureau, Census 2000
Figure A–3. Census Regions, Census Divisions, and Their Constituent States

Northeast Region

New England Division:

Maine, New Hampshire, Vermont, Massachusetts, Rhode Island, Connecticut

Middle Atlantic Division:

New York, New Jersey, Pennsylvania

Midwest Region

East North Central Division:

Ohio, Indiana, Illinois, Michigan, Wisconsin

West North Central Division:

Minnesota, Iowa, Missouri, North Dakota, South Dakota, Nebraska, Kansas

South Region

South Atlantic Division:

Delaware, Maryland, District of Columbia, Virginia, West Virginia, North Carolina, South Carolina,

Georgia, Florida

East South Central Division:

Kentucky, Tennessee, Alabama, Mississippi

West South Central Division:

Arkansas, Louisiana, Oklahoma, Texas

West Region

Mountain Division:

Montana, Idaho, Wyoming, Colorado, New Mexico, Arizona, Utah, Nevada

Pacific Division:

Washington, Oregon, California, Alaska, Hawaii

Census 2000 Geographic Terms and Concepts A–27

U.S. Census Bureau, Census 2000
Appendix B.

Definitions of Subject Characteristics

CONTENTS

POPULATION CHARACTERISTICS

Page

Ability to Speak English (See Language Spoken at Home and Ability to Speak English) ...... B–32

Adopted Son/Daughter (See Household Type and Relationship)............................... B–15

Age............................................................................................... B–4

Ancestry ......................................................................................... B–5

Average Family Size (See Household Type and Relationship) .................................. B–17

Average Household Size (See Household Type and Relationship) ............................. B–14

Brother/Sister (See Household Type and Relationship)......................................... B–15

Carpooling (See Journey to Work)............................................................... B–26

Child (See Household Type and Relationship) .................................................. B–15

Citizenship Status ............................................................................... B–7

Civilian Labor Force (See Employment Status).................................................. B–10

Class of Worker (See Industry, Occupation, and Class of Worker) ............................. B–24

Daughter-in-law (See Household Type and Relationship) ...................................... B–15

Disability Status ................................................................................. B–7

Earnings in 1999 (See Income in 1999)......................................................... B–20

Educational Attainment ......................................................................... B–8

Employment Disability (See Disability Status) .................................................. B–7

Employment Status.............................................................................. B–10

Family (See Household Type and Relationship)................................................. B–16

Family Income in 1999 (See Income in 1999) .................................................. B–19

Family Size (See Household Type and Relationship)............................................ B–17

Family Type (See Household Type and Relationship)........................................... B–16

Farm Population (See Farm Residence under Housing Characteristics)........................ B–54

Foreign Born (See Citizenship Status)........................................................... B–7

Foster Child (See Household Type and Relationship)........................................... B–16

Full-Time, Year-Round Workers (See Work Status in 1999) ..................................... B–48

Gender (See Sex) ................................................................................ B–46

Going Outside the Home Disability (See Disability Status)..................................... B–7

Grade in Which Enrolled......................................................................... B–12

Grandchild (See Household Type and Relationship)............................................ B–15

Grandparents as Caregivers..................................................................... B–12

Group Quarters .................................................................................. B–13

Hispanic or Latino ............................................................................... B–13

Household (See Household Type and Relationship) ............................................ B–14

Household Income in 1999 (See Income in 1999).............................................. B–19

Household Language (See Language Spoken at Home and Ability to Speak English) ......... B–31

Household Size (See Household Type and Relationship) (Also a Housing Characteristic)..... B–14

Household Type and Relationship .............................................................. B–14

Householder (See Household Type and Relationship) .......................................... B–14

Housemate or Roommate (See Household Type and Relationship) ............................ B–16

Income Deficit (See Poverty Status in 1999).................................................... B–36

Income in 1999.................................................................................. B–17

Income Type in 1999 (See Income in 1999) .................................................... B–18

Industry, Occupation, and Class of Worker ..................................................... B–23

Institutionalized Population (See Group Quarters) ............................................. B–13

Journey to Work ................................................................................. B–26

Labor Force (See Employment Status) .......................................................... B–10

Language Density (See Language Spoken at Home and Ability to Speak English) ............ B–31

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U.S. Census Bureau, Census 2000
Language Spoken at Home and Ability to Speak English....................................... B–29

Linguistic Isolation (See Language Spoken at Home and Ability to Speak English) ........... B–32

Marital Status .................................................................................... B–32

Means of Transportation to Work (See Journey to Work) ....................................... B–27

Mental Disability (See Disability Status) ........................................................ B–7

Migration (See Residence 5 Years Ago) ......................................................... B–43

Native (See Citizenship Status).................................................................. B–7

Nativity (See Place of Birth) ..................................................................... B–34

Natural-born son/daughter (See Household Type and Relationship) .......................... B–15

Noninstitutionalized Population (See Group Quarters) ......................................... B–13

Nonrelatives (See Household Type and Relationship) .......................................... B–16

Occupation (See Industry, Occupation, and Class of Worker) .................................. B–24

Other Relatives (See Household Type and Relationship) ....................................... B–15

Own Child (See Household Type and Relationship) ............................................ B–15

Parent/Parent-in-law (See Household Type and Relationship).................................. B–15

Per Capita Income (See Income in 1999) ....................................................... B–20

Period of Military Service (See Veteran Status) ................................................. B–47

Physical Disability (See Disability Status) ....................................................... B–7

Place of Birth..................................................................................... B–33

Place of Work (See Journey to Work) ............................................................ B–26

Poverty Status in 1999 .......................................................................... B–34

Poverty Status of Households in 1999 (Also a Housing Characteristic) ....................... B–59

Presence of Children (See Household Type and Relationship) ................................. B–14

Private Vehicle Occupancy (See Journey to Work) .............................................. B–28

Race.............................................................................................. B–38

Relationship to Householder (See Household Type and Relationship)......................... B–14

Relatives (See Household Type and Relationship) .............................................. B–15

Reference Week.................................................................................. B–43

Related Children (See Household Type and Relationship)...................................... B–15

Residence 5 Years Ago .......................................................................... B–43

Roomer, Boarder (See Household Type and Relationship)...................................... B–16

School Enrollment and Employment Status..................................................... B–45

School Enrollment and Type of School.......................................................... B–45

Self-Care Disability (See Disability Status) ...................................................... B–7

Sensory Disability (See Disability Status) ....................................................... B–7

Sex ............................................................................................... B–46

Son-in-law (See Household Type and Relationship) ............................................ B–15

Spanish Origin (See Hispanic Origin) ........................................................... B–13

Spouse (Husband/Wife) (See Household Type and Relationship) .............................. B–14

Stepson/Stepdaughter (See Household Type and Relationship) ............................... B–15

Subfamily (See Household Type and Relationship) ............................................. B–17

Summary Statistics (See Derived Measures) .................................................... B–68

Time Leaving Home to Go to Work (See Journey to Work) ..................................... B–28

Travel Time to Work (See Journey to Work) ..................................................... B–29

Type of School (See School Enrollment and Type of School) ................................... B–45

Unemployed (See Employment Status) ......................................................... B–10

Unmarried-Partner/Unmarried-Partner Household (See Household Type and Relationship) .. B–17

Unrelated Individual (See Household Type and Relationship).................................. B–16

Usual Hours Worked Per Week Worked in 1999 (See Work Status in 1999).................... B–48

Veteran Status ................................................................................... B–47

Weeks Worked in 1999 (See Work Status in 1999) ............................................. B–48

Work Status in 1999............................................................................. B–48

Worker (See Employment Status; See Industry, Occupation, and Class of Worker; See

Journey to Work; See Work Status in 1999; also see page B–49) ............................. B–11

Workers in Family in 1999 (See Work Status in 1999).......................................... B–48

Year of Entry ..................................................................................... B–49

Years of Military Service (See Veteran Status)................................................... B–47

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U.S. Census Bureau, Census 2000
HOUSING CHARACTERISTICS

Acreage (Cuerda) ................................................................................ B–51

Available Housing (See Vacancy Status) ........................................................ B–66

Agricultural Sales ................................................................................ B–51

Average Household Size (See Household Size) ................................................. B–56

Bedrooms ........................................................................................ B–52

Business on Property ............................................................................ B–52

Condominium Fee ............................................................................... B–52

Congregate Housing (See Meals Included in Rent) ............................................. B–57

Contract Rent.................................................................................... B–53

Crop Sales (See Agricultural Sales).............................................................. B–51

Cuerda (See Acreage)............................................................................ B–51

Farm Residence.................................................................................. B–54

Gross Rent ....................................................................................... B–54

Gross Rent as a Percentage of Household Income in 1999 .................................... B–55

Home Equity Loan (See Second or Junior Mortgage) ........................................... B–61

Homeowner Vacancy Rate (See Vacancy Status)................................................ B–65

House Heating Fuel.............................................................................. B–55

Household Size (Also a Population Characteristic) ............................................. B–56

Housing Unit (See Living Quarters) ............................................................. B–50

Insurance for Fire, Hazard, and Flood .......................................................... B–56

Kitchen Facilities ................................................................................ B–56

Living Quarters .................................................................................. B–50

Meals Included in Rent .......................................................................... B–57

Mobile Home Costs.............................................................................. B–57

Mortgage Payment .............................................................................. B–57

Mortgage Status ................................................................................. B–58

Occupants Per Room ............................................................................ B–58

Occupied Housing Unit (See Living Quarters) .................................................. B–50

Owner-Occupied Housing Unit (See Tenure) .................................................... B–63

Plumbing Facilities .............................................................................. B–59

Population in Occupied Units ................................................................... B–59

Poverty Status of Households in 1999 (Also a Population Characteristic)..................... B–59

Real Estate Taxes ................................................................................ B–59

Rental Vacancy Rate (See Vacancy Status) ...................................................... B–65

Renter-Occupied Housing Unit (See Tenure) .................................................... B–63

Rooms ........................................................................................... B–60

Second or Junior Mortgage or Home Equity Loan .............................................. B–61

Selected Conditions ............................................................................. B–61

Selected Monthly Owner Costs ................................................................. B–61

Selected Monthly Owner Costs as a Percentage of Household Income in 1999............... B–62

Summary Statistics (See Derived Measures) .................................................... B–68

Telephone Service Available..................................................................... B–62

Tenure ........................................................................................... B–63

Type of Structure (See Units in Structure)....................................................... B–64

Units in Structure ................................................................................ B–64

Usual Home Elsewhere .......................................................................... B–64

Utilities........................................................................................... B–65

Vacancy Status................................................................................... B–65

Vacant Housing Unit (See Living Quarters) ..................................................... B–50

Value ............................................................................................. B–66

Vehicles Available ............................................................................... B–67

Year Householder Moved Into Unit.............................................................. B–67

Year Structure Built .............................................................................. B–68

DERIVED MEASURES

Aggregate (See Mean) ........................................................................... B–69

Aggregates Subject to Rounding (See Mean) ................................................... B–69

Average (See Mean) ............................................................................. B–69

Interpolation..................................................................................... B–68

Mean ............................................................................................. B–69

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U.S. Census Bureau, Census 2000
DERIVED MEASURES—Con.

Median ........................................................................................... B–70

Percentage ....................................................................................... B–77

Quartile .......................................................................................... B–77

Rate .............................................................................................. B–77

Ratio ............................................................................................. B–77

Rounding for Selected Aggregates (See Mean) ................................................. B–69

Special Rounding Rules for Aggregates (See Mean) ............................................ B–69

Standard Distributions (See Median)............................................................ B–70

POPULATION CHARACTERISTICS

Contact list: To obtain additional information on these and other Census 2000 subjects, see

the list of Census 2000 Contacts on the Internet at http://www.census.gov/contacts/www/

c-census2000.html.

Puerto Rico: Please note that for Census 2000, the definitions below apply to both the United

States and Puerto Rico, except where noted. For 1990 and earlier censuses, references on

comparability refer only to the United States. Please refer to the appropriate technical

documentation for Puerto Rico for comparability statements pertaining to 1990 and earlier

censuses.

AGE

The data on age, which was asked of all people, were derived from answers to the long-form

questionnaire Item 4 and short-form questionnaire Item 6. The age classification is based on the

age of the person in complete years as of April 1, 2000. The age of the person usually was

derived from their date of birth information. Their reported age was used only when date of birth

information was unavailable.

Data on age are used to determine the applicability of some of the sample questions for a person

and to classify other characteristics in census tabulations. Age data are needed to interpret most

social and economic characteristics used to plan and examine many programs and policies.

Therefore, age is tabulated by single years of age and by many different groupings, such as 5-year

age groups.

Median age. Median age divides the age distribution into two equal parts: one-half of the cases

falling below the median age and one-half above the median. Median age is computed on the

basis of a single year of age standard distribution (see the ‘‘Standard Distributions’’ section under

‘‘Derived Measures’’). Median age is rounded to the nearest tenth. (For more information on

medians, see ‘‘Derived Measures.’’)

Limitation of the data. The most general limitation for many decades has been the tendency of

people to overreport ages or years of birth that end in zero or 5. This phenomenon is called ‘‘age

heaping.’’ In addition, the counts in the 1970 and 1980 censuses for people 100 years old and

over were substantially overstated. So also were the counts of people 69 years old in 1970 and 79

years old in 1980. Improvements have been made since then in the questionnaire design and in

the imputation procedures that have minimized these problems.

Review of detailed 1990 census information indicated that respondents tended to provide their

age as of the date of completion of the questionnaire, not their age as of April 1, 1990. One

reason this happened was that respondents were not specifically instructed to provide their age

as of April 1, 1990. Another reason was that data collection efforts continued well past the census

date. In addition, there may have been a tendency for respondents to round their age up if they

were close to having a birthday. It is likely that approximately 10 percent of people in most age

groups were actually 1 year younger. For most single years of age, the misstatements were largely

offsetting. The problem is most pronounced at age zero because people lost to age 1 probably

were not fully offset by the inclusion of babies born after April 1, 1990. Also, there may have

been more rounding up to age 1 to avoid reporting age as zero years. (Age in complete months

was not collected for infants under age 1.)

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U.S. Census Bureau, Census 2000
The reporting of age 1 year older than true age on April 1, 1990, is likely to have been greater in

areas where the census data were collected later in calendar year 1990. The magnitude of this

problem was much less in the 1960, 1970, and 1980 censuses where age was typically derived

from respondent data on year of birth and quarter of birth.

These shortcomings were minimized in Census 2000 because age was usually calculated from

exact date of birth and because respondents were specifically asked to provide their age as of

April 1, 2000. (For more information on the design of the age question, see the section below that

discusses ‘‘Comparability.’’)

Comparability. Age data have been collected in every census. For the first time since 1950, the

1990 data were not available by quarter year of age. This change was made so that coded

information could be obtained for both age and year of birth. In 2000, each individual has both an

age and an exact date of birth. In each census since 1940, the age of a person was assigned when

it was not reported. In censuses before 1940, with the exception of 1880, people of unknown age

were shown as a separate category. Since 1960, assignment of unknown age has been performed

by a general procedure described as ‘‘imputation.’’ The specific procedures for imputing age have

been different in each census. (For more information on imputation, see ‘‘Accuracy of the Data.’’)

ANCESTRY

The data on ancestry were derived from answers to long-form questionnaire Item 10, which was

asked of a sample of the population. The data represent self-classification by people according to

the ancestry group or groups with which they most closely identify. Ancestry refers to a person’s

ethnic origin or descent, ‘‘roots,’’ heritage, or the place of birth of the person, the person’s

parents, or their ancestors before their arrival in the United States. Some ethnic identities, such as

Egyptian or Polish, can be traced to geographic areas outside the United States, while other

ethnicities, such as Pennsylvania German or Cajun, evolved in the United States.

The intent of the ancestry question was not to measure the degree of attachment the respondent

had to a particular ethnicity. For example, a response of ‘‘Irish’’ might reflect total involvement in

an Irish community or only a memory of ancestors several generations removed from the

individual. Also, the question was intended to provide data for groups that were not included in

the Hispanic origin and race questions. Official Hispanic origin data come from long-form

questionnaire Item 5, and official race data come from long-form questionnaire Item 6. Therefore,

although data on all groups are collected, the ancestry data shown in these tabulations are for

non-Hispanic and nonrace groups. Hispanic and race groups are included in the ‘‘Other groups’’

category for the ancestry tables in these tabulations.

The ancestry question allowed respondents to report one or more ancestry groups, although only

the first two were coded. If a response was in terms of a dual ancestry, for example, ‘‘Irish

English,’’ the person was assigned two codes, in this case one for Irish and another for English.

However, in certain cases, multiple responses such as ‘‘French Canadian,’’ ‘‘Greek Cypriote,’’ and

‘‘Scotch Irish’’ were assigned a single code reflecting their status as unique groups. If a person

reported one of these unique groups in addition to another group, for example, ‘‘Scotch Irish

English,’’ resulting in three terms, that person received one code for the unique group

(Scotch-Irish) and another one for the remaining group (English). If a person reported ‘‘English Irish

French,’’ only English and Irish were coded. Certain combinations of ancestries where the ancestry

group is a part of another, such as ‘‘German-Bavarian,’’ were coded as a single ancestry using the

more specific group (Bavarian). Also, responses such as ‘‘Polish-American’’ or ‘‘Italian-American’’

were coded and tabulated as a single entry (Polish or Italian).

The Census Bureau accepted ‘‘American’’ as a unique ethnicity if it was given alone, with an

ambiguous response, or with state names. If the respondent listed any other ethnic identity such

as ‘‘Italian-American,’’ generally the ‘‘American’’ portion of the response was not coded. However,

distinct groups such as ‘‘American Indian,’’ ‘‘Mexican American,’’ and ‘‘African American’’ were

coded and identified separately because they represented groups who considered themselves

different from those who reported as ‘‘Indian,’’ ‘‘Mexican,’’ or ‘‘African,’’ respectively.

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U.S. Census Bureau, Census 2000
In all tabulations, when respondents provided an unclassifiable ethnic identity (for example,

‘‘multinational,’’ ‘‘adopted,’’ or ‘‘I have no idea’’), the answer was included in tabulation category

‘‘Unclassified or not reported.’’

The tabulations on ancestry are presented using two types of data presentations — one using

total people as the base, and the other using total responses as the base. The following are

categories shown in the two data presentations.

Presentation Based on People

Single ancestries reported — Includes all people who reported only one ancestry group. Included

in this category are people with multiple-term responses such as ‘‘Greek Cypriote’’ who are

assigned a single code.

Multiple ancestries reported — Includes all people who reported more than one group and were

assigned two ancestry codes.

Ancestry unclassified — Includes all people who provided a response that could not be assigned

an ancestry code because they provided unclear entries or entries that represent religious groups.

Presentation Based on Responses

First ancestry reported — Includes the first response of all people who reported at least one

codeable entry. For example, in this category, the count for Danish would include all those who

reported only Danish and those who reported Danish first and then some other group.

Second ancestry reported — Includes the second response of all people who reported a multiple

ancestry. Thus, the count for Danish in this category includes all people who reported Danish as

the second response, regardless of the first response provided.

Total ancestries reported or total ancestries tallied — Includes the total number of ancestries

reported and coded. If a person reported a multiple ancestry such as ‘‘French Danish,’’ that

response was counted twice in the tabulations once in the French category and again in the

Danish category. Thus, the sum of the counts in this type of presentation is not the total

population but the total of all responses.

An automated coding system was used for coding ancestry in Census 2000. This greatly reduced

the potential for error associated with a clerical review. Specialists with knowledge of the subject

matter reviewed, edited, coded, and resolved inconsistent or incomplete responses. The code list

used in Census 2000, containing over 1,000 categories, reflects the results of the Census Bureau’s

experience with the 1990 ancestry question, research, and consultation with many ethnic experts.

Many decisions were made to determine the classification of responses. These decisions affected

the grouping of the tabulated data. For example, the Italian category includes the responses of

Sicilian and Tuscan, as well as a number of other responses.

Limitation of the data. Although some people consider religious affiliation a component of

ethnic identity, the ancestry question was not designed to collect any information concerning

religion. Thus, if a religion was given as an answer to the ancestry question, it was listed in the

‘‘Other groups’’ category.

Ancestry should not be confused with a person’s place of birth, although a person’s place of birth

and ancestry may be the same (see ‘‘Place of Birth’’).

The ancestry data in these tabulations are limited to groups that were not shown in the Hispanic

origin and race tabulations. For example, since Mexican is shown in the Hispanic origin tables, it

is not shown in the ancestry tables. Likewise, since Korean is shown in the race tables, it is not

shown in the ancestry tables. Hispanic and race groups are included in the ‘‘Other groups’’

category for the ancestry tables in these tabulations.

Unlike other census questions, there was no imputation for nonresponse to the ancestry question.

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U.S. Census Bureau, Census 2000
Comparability. The ancestry question was first introduced in 1980 as ‘‘What is this person’s

ancestry?’’ In 1990, the question was changed to ‘‘What is this person’s ancestry or ethnic origin?’’

to improve understanding and response. This question was used again in Census 2000.

The ancestry groups used as examples have changed over time. The changes were introduced to

avoid or to minimize example-induced responses, and to ensure broad geographic and group

coverage.

CITIZENSHIP STATUS

The data on citizenship were derived from answers to long-form questionnaire Item 13, which

was asked of a sample of the population. On the stateside questionnaire, respondents were asked

to select one of five categories: (1) born in the United States, (2) born in Puerto Rico or a U.S.

Island Area (such as Guam), (3) born abroad of American parent(s), (4) naturalized citizen, (5) not

a citizen. On the Puerto Rico questionnaire, respondents were asked to select one of five

categories: (1) born in Puerto Rico, (2) born in a U.S. state, District of Columbia, Guam, the U.S.

Virgin Islands, or the Northern Mariana Islands, (3) born abroad of American parent or parent(s),

(4) U.S. citizen by naturalization, (5) not a citizen of the United States. People not reporting

citizenship were assigned citizenship based on a set of criteria including the citizenship status of

other household members and place of birth. (See ‘‘Place of Birth.’’)

Citizen. This category includes respondents who indicated that they were born in the United

States, Puerto Rico, a U.S. Island Area, or abroad of American parent or parents. People who

indicated that they were U.S. citizens through naturalization are also citizens.

Not a citizen. This category includes respondents who indicated that they were not U.S. citizens.

Native. The native population includes people born in the United States, Puerto Rico, or the U.S.

Island Areas (such as Guam). People who were born in a foreign country but have at least one

American (U.S. citizen) parent also are included in this category. The native population includes

anyone who was a U.S. citizen at birth.

Foreign born. The foreign-born population includes all people who were not U.S. citizens at

birth. Foreign-born people are those who indicated they were either a U.S. citizen by

naturalization or they were not a citizen of the United States.

Census 2000 does not ask about immigration status. The population surveyed includes all people

who indicated that the United States was their usual place of residence on the census date. The

foreign-born population includes: immigrants (legal permanent residents), temporary migrants

(e.g., students), humanitarian migrants (e.g., refugees), and unauthorized migrants (people

illegally residing in the United States).

The foreign-born population is shown by selected area, country, or region of birth. The places of

birth shown in data products were chosen based on the number of respondents who reported that

area or country of birth. (See ‘‘Place of Birth.’’)

Comparability. The citizenship status questions for the 2000 decennial census and the 1990

decennial census are identical.

DISABILITY STATUS

The data on disability status were derived from answers to long-form questionnaire Items 16 and

17. Item 16 was a two-part question that asked about the existence of the following long-lasting

conditions: (a) blindness, deafness, or a severe vision or hearing impairment (sensory disability)

and (b) a condition that substantially limits one or more basic physical activities, such as walking,

climbing stairs, reaching, lifting, or carrying (physical disability). Item 16 was asked of a sample

of the population 5 years old and over.

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U.S. Census Bureau, Census 2000
Item 17 was a four-part question that asked if the individual had a physical, mental, or emotional

condition lasting 6 months or more that made it difficult to perform certain activities. The four

activity categories were: (a) learning, remembering, or concentrating (mental disability); (b)

dressing, bathing, or getting around inside the home (self-care disability); (c) going outside the

home alone to shop or visit a doctor’s office (going outside the home disability); and (d) working

at a job or business (employment disability). Categories 17a and 17b were asked of a sample of

the population 5 years old and over; 17c and 17d were asked of a sample of the population 16

years old and over.

For data products that use the items individually, the following terms are used: sensory disability

for 16a, physical disability for 16b, mental disability for 17a, self-care disability for 17b, going

outside the home disability for 17c, and employment disability for 17d.

For data products that use a disability status indicator, individuals were classified as having a

disability if any of the following three conditions were true: (1) they were 5 years old and over

and had a response of ‘‘yes’’ to a sensory, physical, mental or self-care disability; (2) they were 16

years old and over and had a response of ‘‘yes’’ to going outside the home disability; or (3) they

were 16 to 64 years old and had a response of ‘‘yes’’ to employment disability.

Comparability. The 1990 census data products did not include a general disability status

indicator. Furthermore, a comparable indicator could not be constructed since the conceptual

framework of the 1990 census was more limited. The questionnaire included only three types of

disability in questions with four subparts. The questions asked about whether an individual had a

condition that had lasted for 6 months or more and that (1) limited the kind or amount of work

that he or she could do at a job, (2) prevented the individual from working at a job, (3) made it

difficult to go outside the home alone (for example, to shop or visit a doctor’s office), and (4)

made it difficult to take care of his or her own personal needs, such as bathing, dressing, or

getting around inside the home. The 1990 disability questions were asked on the long form

questionnaire of the population 15 years old and over.

EDUCATIONAL ATTAINMENT

Data on educational attainment were derived from answers to long-form questionnaire Item 9,

which was asked of a sample of the population. Data on attainment are tabulated for the

population 25 years old and over. However, when educational attainment is cross-tabulated by

other variables, the universe may change. (For example, when educational attainment is crossed

by disability status, the data are tabulated for the civilian noninstitutionalized population 18 to 34

years old.) People are classified according to the highest degree or level of school completed.

The order in which degrees were listed on the questionnaire suggested that doctorate degrees

were ‘‘higher’’ than professional school degrees, which were ‘‘higher’’ than master’s degrees. The

question included instructions for people currently enrolled in school to report the level of the

previous grade attended or the highest degree received. Respondents who did not report

educational attainment or enrollment level were assigned the attainment of a person of the same

age, race, Hispanic or Latino origin, occupation and sex, where possible, who resided in the same

or a nearby area. Respondents who filled more than one box were edited to the highest level or

degree reported.

The question included a response category that allowed respondents to report completing the

12th grade without receiving a high school diploma. It allowed people who received either a high

school diploma or the equivalent, for example, passed the Test of General Educational

Development (G.E.D.) and did not attend college, to be reported as ‘‘high school graduate(s).’’ The

category ‘‘Associate degree’’ included people whose highest degree is an associate degree, which

generally requires 2 years of college level work and is either in an occupational program that

prepares them for a specific occupation, or an academic program primarily in the arts and

sciences. The course work may or may not be transferable to a bachelor’s degree. Master’s

degrees include the traditional MA and MS degrees and field-specific degrees, such as MSW, MEd,

MBA, MLS, and MEng. Some examples of professional degrees include medicine, dentistry,

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U.S. Census Bureau, Census 2000
chiropractic, optometry, osteopathic medicine, pharmacy, podiatry, veterinary medicine, law, and

theology. Vocational and technical training, such as barber school training; business, trade,

technical, and vocational schools; or other training for a specific trade, are specifically excluded.

High school graduate or higher. This category includes people whose highest degree was a

high school diploma or its equivalent, people who attended college but did not receive a degree,

and people who received a college, university, or professional degree. People who reported

completing the 12th grade but not receiving a diploma are not high school graduates.

Not enrolled, not high school graduate. This category includes people of compulsory school

attendance age or above who were not enrolled in school and were not high school graduates.

These people may be referred to as ‘‘high school dropouts.’’ However, there is no criterion

regarding when they ‘‘dropped out’’ of school, so they may have never attended high school.

Comparability. From 1840 to 1930, the census measured educational attainment by means of a

basic literacy question. In 1940, a single question was asked on highest grade of school

completed. In the 1950 to 1980 censuses, a two-part question was used to construct highest

grade or year of school completed. The question asked (1) the highest grade of school attended

and (2) whether that grade was finished. For people who have not attended college, the response

categories in the current educational attainment question should produce data that are

comparable to data on highest grade completed from earlier censuses. For people who attended

college, there is less comparability between years of school completed and highest degree.

Beginning in 1990, the response categories for people who have attended college were modified

from earlier censuses because there was some ambiguity in interpreting responses in terms of the

number of years of college completed. For instance, it was not clear whether ‘‘completed the

fourth year of college,’’ ‘‘completed the senior year of college,’’ and ‘‘college graduate’’ were

synonymous. Research conducted shortly before the 1990 census suggests that these terms were

more distinct than in earlier decades, and this change may have threatened the ability to estimate

the number of ‘‘college graduates’’ from the number of people reported as having completed the

fourth or a higher year of college. It was even more difficult to make inferences about

post-baccalaureate degrees and ‘‘Associate’’ degrees from highest year of college completed.

Thus, comparisons of post-secondary educational attainment in the 2000 and 1990 censuses with

data from the earlier censuses should be made with great caution.

Changes between 1990 and Census 2000 were slight. The two associate degree categories in

1990 were combined into one for Census 2000. ‘‘Some college, no degree’’ was split into two

categories, ‘‘Some college credit, but less than 1 year,’’ and ‘‘1 or more years of college, no

degree.’’ Prior to 1990, the college levels reported began with ‘‘Completed 1 year of college.’’

Beginning in 1990, the first category was ‘‘Some college, no degree,’’ which allowed people with

less than 1 year of college to be given credit for college. Prior to 1990, they were included in

‘‘High school, 4 years.’’ The two revised categories will accommodate comparisons with either

data series and allow the tabulation of students who completed at least 1 year of college, as some

data users wish. This will not change the total number who completed some college.

The category ‘‘12th grade, no diploma’’ was counted as high school completion or ‘‘Completed

high school, 4 years’’ prior to 1990 and as ‘‘Less than high school graduate’’ in 1990 and 2000. In

the 1960 and subsequent censuses, people for whom educational attainment was not reported

were assigned the same attainment level as a similar person whose residence was in the same or

a nearby area. In the 1940 and 1950 censuses, people for whom educational attainment was not

reported were not allocated.

In censuses prior to 1990, ‘‘median school years completed’’ was used as a summary measure of

educational attainment. Using the current educational attainment question, the median can only

be calculated for groups of which less than half the members have attended college. ‘‘Percent high

school graduate or higher’’ and ‘‘percent bachelor’s degree or higher’’ are summary measures that

can be calculated from the present data and offer quite readily interpretable measures of

differences between population subgroups.

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U.S. Census Bureau, Census 2000
EMPLOYMENT STATUS

The data on employment status (referred to as labor force status in previous censuses), were

derived from answers to long-form questionnaire Items 21and 25, which were asked of a sample

of the population 15 years old and over. The series of questions on employment status was

designed to identify, in this sequence: (1) people who worked at any time during the reference

week; (2) people who did not work during the reference week, but who had jobs or businesses

from which they were temporarily absent (excluding people on layoff); (3) people on temporary

layoff who expected to be recalled to work within the next 6 months or who had been given a

date to return to work, and who were available for work during the reference week; and (4) people

who did not work during the reference week, who had looked for work during the reference week

or the three previous weeks, and who were available for work during the reference week. (For

more information, see ‘‘Reference Week.’’)

The employment status data shown in Census 2000 tabulations relate to people 16 years old and

over. In the 1940, 1950, and 1960 censuses, employment status data were presented for people

14 years old and over. The change in the universe was made in 1970 to agree with the official

measurement of the labor force as revised in January 1967 by the U.S. Department of Labor. The

1970 census was the last to show employment data for people 14 and 15 years old.

Employed. All civilians 16 years old and over who were either (1) ‘‘at work’’ — those who did

any work at all during the reference week as paid employees, worked in their own business or

profession, worked on their own farm, or worked 15 hours or more as unpaid workers on a family

farm or in a family business; or (2) were ‘‘with a job but not at work’’ — those who did not work

during the reference week, but who had jobs or businesses from which they were temporarily

absent because of illness, bad weather, industrial dispute, vacation, or other personal reasons.

Excluded from the employed are people whose only activity consisted of work around their own

house (painting, repairing, or own home housework) or unpaid volunteer work for religious,

charitable, and similar organizations. Also excluded are all institutionalized people and people on

active duty in the United States Armed Forces.

Civilian employed. This term is defined exactly the same as the term ‘‘employed’’ above.

Unemployed. All civilians 16 years old and over were classified as unemployed if they were

neither ‘‘at work’’ nor ‘‘with a job but not at work’’ during the reference week, were looking for

work during the last 4 weeks, and were available to start a job. Also included as unemployed were

civilians 16 years old and over who: did not work at all during the reference week, were on

temporary layoff from a job, had been informed that they would be recalled to work within the

next 6 months or had been given a date to return to work, and were available to return to work

during the reference week, except for temporary illness. Examples of job seeking activities were:

• Registering at a public or private employment office

• Meeting with prospective employers

• Investigating possibilities for starting a professional practice or opening a business

• Placing or answering advertisements

• Writing letters of application

• Being on a union or professional register

Civilian labor force. Consists of people classified as employed or unemployed in accordance

with the criteria described above.

Labor force. All people classified in the civilian labor force (i.e., ‘‘employed’’ and ‘‘unemployed’’

people), plus members of the U.S. Armed Forces (people on active duty with the United States

Army, Air Force, Navy, Marine Corps, or Coast Guard).

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Not in labor force. All people 16 years old and over who are not classified as members of the

labor force. This category consists mainly of students, individuals taking care of home or family,

retired workers, seasonal workers enumerated in an off-season who were not looking for work,

institutionalized people (all institutionalized people are placed in this category regardless of any

work activities they may have done in the reference week), and people doing only incidental

unpaid family work (fewer than 15 hours during the reference week).

Worker. The terms ‘‘worker’’ and ‘‘work’’ appear in connection with several subjects: employment

status, journey-to-work, class of worker, and work status in 1999. Their meaning varies and,

therefore, should be determined by referring to the definition of the subject in which they appear.

When used in the concepts ‘‘Workers in Family,’’ ‘‘Workers in Family in 1999,’’ and ‘‘Full-Time,

Year-Round Workers,’’ the term ‘‘worker’’ relates to the meaning of work defined for the ‘‘Work

Status in 1999’’ subject.

Full-time, year-round workers. See ‘‘Work status in 1999.’’

Limitation of the data. The census may understate the number of employed people because

people who have irregular, casual, or unstructured jobs sometimes report themselves as not

working. The number of employed people ‘‘at work’’ is probably overstated in the census (and

conversely, the number of employed ‘‘with a job, but not at work’’ is understated) since some

people who were on vacation or sick leave erroneously reported themselves as working. This

problem has no effect on the total number of employed people. The reference week for the

employment data is not the same calendar week for all people. Since people can change their

employment status from 1 week to another, the lack of a uniform reference week may mean that

the employment data do not reflect the reality of the employment situation of any given week.

(For more information, see ‘‘Reference Week.’’)

Note: The Census Bureau is aware there may be a problem or problems in the employment-status

data of Census 2000 Summary File 3 (including tables P38, P43-P46, P149A-I, P150A-I, PCT35,

PCT69A-I, and PCT70A-I). The labor force data for some places where colleges are located appear

to overstate the number in the labor force, the number unemployed, and the percent unemployed,

probably because of reporting or processing error. The exact cause is unknown, but the Census

Bureau will continue to research the problem.

Comparability. The questionnaire items and employment status concepts for Census 2000 are

essentially the same as those used in the 1970 to 1990 censuses. However, these concepts differ

in many respects from those associated with the 1950 and 1960 censuses. Since employment

data from the census are obtained from respondents in households, they differ from statistics

based on reports from individual business establishments, farm enterprises, and certain

government programs. People employed at more than one job are counted only once in the

census and are classified according to the job at which they worked the greatest number of hours

during the reference week. In statistics based on reports from business and farm establishments,

people who work for more than one establishment may be counted more than once. Moreover,

some establishment-based tabulations may exclude private household workers, unpaid family

workers, and self-employed people, but may include workers less than 16 years old. Census

tabulations count people who had a job but were not at work among the employed, but these

people may be excluded from employment figures based on establishment payroll reports.

Furthermore, census employment tabulations include people on the basis of place of residence

regardless of where they work; whereas, establishment data report people at their place of work

regardless of where they live. This latter consideration is particularly significant when comparing

data for workers who commute between areas.

For several reasons, the unemployment figures of the Census Bureau are not comparable with

published figures on unemployment compensation claims. For example, figures on unemployment

compensation claims exclude people who have exhausted their benefit rights, new workers who

have not earned rights to unemployment insurance, and people losing jobs not covered by

unemployment insurance systems (including some workers in agriculture, domestic services, and

religious organizations, and self-employed and unpaid family workers). In addition, the

qualifications for drawing unemployment compensation differ from the definition of

unemployment used by the Census Bureau. People working only a few hours during the week and

people with a job, but not at work are sometimes eligible for unemployment compensation but

are classified as ‘‘employed’’ in the census. Differences in the geographical distribution of

unemployment data arise because the place where claims are filed may not necessarily be the

same as the place of residence of the unemployed worker.

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The figures on employment status from the decennial census are generally comparable with

similar data collected in the Current Population Survey, which is the official source of the monthly

national unemployment rate. However, some differences may exist because of variations between

the two data sources in enumeration and processing techniques.

GRADE IN WHICH ENROLLED

The data on grade or level in which enrolled were derived from long-form questionnaire Item 8b,

which was asked of a sample of the population. People who were enrolled in school were

classified as enrolled in ‘‘Nursery school, preschool,’’ ‘‘Kindergarten,’’ ‘‘Grade 1 to 4’’ or ‘‘Grade 5 to

8,’’ ‘‘Grade 9 to 12,’’ ‘‘College undergraduate years (freshman to senior)’’ or ‘‘Graduate and

professional school (for example: medical, dental, or law school).’’

Comparability. Grade of enrollment was first available in the 1940 census, where it was

obtained from responses to the question on highest grade of school completed. Enumerators were

instructed that ‘‘for a person still in school, the last grade completed will be the grade preceding

the one in which he or she was now enrolled.’’ From 1950 to 1980, grade of enrollment was

obtained from the highest grade attended in the two-part question used to measure educational

attainment. (For more information, see the discussion under ‘‘Educational Attainment.’’) The form

of the question from which level of enrollment was derived in the 1990 census most closely

corresponds to the question used in 1940. While data from prior censuses can be aggregated to

provide levels of enrollment comparable to the 1990 census and Census 2000, the data from

these sources cannot be disaggregated to show single grade of enrollment as in previous

censuses.

In the 1990 census, people who were enrolled in school were classified as enrolled in ‘‘preprimary

school,’’ ‘‘elementary or high school,’’ or ‘‘college,’’ according to their response to long-form

questionnaire Item 12 (years of school completed or highest degree received). Those who were

enrolled and reported completing nursery school or less were classified as enrolled in ‘‘preprimary

school,’’ which includes kindergarten. Similarly, those enrolled who had completed at least

kindergarten, but not high school, were classified as enrolled in elementary or high school. The

enrolled who also reported completing high school or some college or having received a

post-secondary degree were classified as enrolled in ‘‘college.’’ Those who reported completing

the twelfth grade but receiving ‘‘NO DIPLOMA’’ were classified as enrolled in high school.

The Census 2000 question is the first to be asked only of the enrolled and does not serve to

measure both year of enrollment and educational attainment. While the attainment item in 1990

served the needs for educational attainment data better than the question used in earlier

censuses, it did not serve reporting of enrollment level well.

GRANDPARENTS AS CAREGIVERS

The data on grandparents as caregivers were derived from answers to long-form questionnaire

Item 19, which was asked of a sample of the population 15 years old and over. Data were

collected on whether a grandchild lives in the household, whether the grandparent has

responsibility for the basic needs of the grandchild, and the duration of that responsibility.

Because of the very low number of people under 30 years old who are grandparents, data are only

shown for people 30 years old and over.

Existence of a grandchild in the household. This was determined by a ‘‘Yes’’ answer to the

sample question, ‘‘Does this person have any of his/her own grandchildren under the age of 18

living in this house or apartment?’’

Responsibility for basic needs. This question determines if the grandparent is financially

responsible for food, shelter, clothing, day care, etc., for any or all grandchildren living in the

household.

Duration of responsibility. The answer refers to the grandchild for whom the grandparent has

been responsible for the longest period of time. Duration categories ranged from less than 6

months to 5 years or more.

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Comparability. These questions are new to Census 2000. The Personal Responsibility and Work

Opportunity Reconciliation Act of 1996 mandated that the decennial census collect data on this

subject.

GROUP QUARTERS

The group quarters population includes all people not living in households. Two general

categories of people in group quarters are recognized: (1) the institutionalized population and (2)

the noninstitutionalized population.

Institutionalized population. The institutionalized population includes people under formally

authorized, supervised care or custody in institutions at the time of enumeration; such as

correctional institutions, nursing homes, and juvenile institutions.

Noninstitutionalized population. The noninstitutionalized population includes all people who

live in group quarters other than institutions, such as college dormitories, military quarters, and

group homes. Also, included are staff residing at institutional group quarters.

For a complete description of the types of group quarters included in Census 2000, see the

Technical Documentation for Summary File 1, 2000 Census of Population and Housing, at

http://www.census.gov/prod/cen2000/doc/sf1.pdf.

HISPANIC OR LATINO

The data on the Hispanic or Latino population, which was asked of all people, were derived from

answers to long-form questionnaire Item 5, and short-form questionnaire Item 7. The terms

‘‘Spanish,’’ ‘‘Hispanic origin,’’ and ‘‘Latino’’ are used interchangeably. Some respondents identify

with all three terms, while others may identify with only one of these three specific terms.

Hispanics or Latinos who identify with the terms ‘‘Spanish,’’ ‘‘Hispanic,’’ or ‘‘Latino’’ are those who

classify themselves in one of the specific Hispanic or Latino categories listed on the questionnaire

— ‘‘Mexican,’’ ‘‘Puerto Rican,’’ or ‘‘Cuban’’ — as well as those who indicate that they are ‘‘other

Spanish, Hispanic, or Latino.’’ People who do not identify with one of the specific origins listed on

the questionnaire but indicate that they are ‘‘other Spanish, Hispanic, or Latino’’ are those whose

origins are from Spain, the Spanish-speaking countries of Central or South America, the Dominican

Republic, or people identifying themselves generally as Spanish, Spanish-American, Hispanic,

Hispano, Latino, and so on. All write-in responses to the ‘‘other Spanish/Hispanic/Latino’’ category

were coded.

Origin can be viewed as the heritage, nationality group, lineage, or country of birth of the person

or the person’s parents or ancestors before their arrival in the United States. People who identify

their origin as Spanish, Hispanic, or Latino may be of any race.

Some tabulations are shown by the origin of the householder. In all cases where the origin of

households, families, or occupied housing units is classified as Spanish, Hispanic, or Latino, the

origin of the householder is used. (For more information, see the discussion of householder under

‘‘Household Type and Relationship.’’)

If an individual could not provide a Hispanic origin response, their origin was assigned using

specific rules of precedence of household relationship. For example, if origin was missing for a

natural-born daughter in the household, then either the origin of the householder, another

natural-born child, or the spouse of the householder was assigned. If Hispanic origin was not

reported for anyone in the household, the origin of a householder in a previously processed

household with the same race was assigned. This procedure is a variation of the general

imputation procedures described in ‘‘Accuracy of the Data,’’ and is similar to those used in 1990,

except that for Census 2000, race and Spanish surnames were used to assist in assigning an

origin. (For more information, see the ‘‘Comparability’’ section below.)

Comparability. There are two important changes to the Hispanic origin question for Census

2000. First, the sequence of the race and Hispanic origin questions for Census 2000 differs from

that in 1990; in 1990, the race question preceded the Hispanic origin question. Testing prior to

Census 2000 indicated that response to the Hispanic origin question could be improved by

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placing it before the race question without affecting the response to the race question. Second,

there is an instruction preceding the Hispanic origin question indicating that respondents should

answer both the Hispanic origin and the race questions. This instruction was added to give

emphasis to the distinct concepts of the Hispanic origin and race questions and to emphasize the

need for both pieces of information.

Furthermore, there has been a change in the processing of the Hispanic origin and race responses.

In 1990, the Hispanic origin question and the race question had separate edits; therefore,

although information may have been present on the questionnaire, it was not fully utilized due to

the discrete nature of the edits. However, for Census 2000, there was a joint race and Hispanic

origin edit which for example, made use of race responses in the Hispanic origin question to

impute a race if none was given.

HOUSEHOLD TYPE AND RELATIONSHIP

Household

A household includes all of the people who occupy a housing unit. (People not living in

households are classified as living in group quarters.) A housing unit is a house, an apartment, a

mobile home, a group of rooms, or a single room occupied (or if vacant, intended for occupancy)

as separate living quarters. Separate living quarters are those in which the occupants live

separately from any other people in the building and that have direct access from the outside of

the building or through a common hall. The occupants may be a single family, one person living

alone, two or more families living together, or any other group of related or unrelated people who

share living quarters.

In 100-percent tabulations, the count of households or householders always equals the count of

occupied housing units. In sample tabulations, the numbers may differ as a result of the

weighting process.

Average household size. A measure obtained by dividing the number of people in households

by the total number of households (or householders). In cases where household members are

tabulated by race or Hispanic origin, household members are classified by the race or Hispanic

origin of the householder rather than the race or Hispanic origin of each individual. Average

household size is rounded to the nearest hundredth.

Relationship to Householder

Householder. The data on relationship to householder were derived from the question, ‘‘How is

this person related to Person 1,’’ which was asked of Persons 2 and higher in housing units. One

person in each household is designated as the householder (Person 1). In most cases, the

householder is the person, or one of the people, in whose name the home is owned, being

bought, or rented. If there is no such person in the household, any adult household member 15

years old and over could be designated as the householder (i.e., Person 1).

Households are classified by type according to the sex of the householder and the presence of

relatives. Two types of householders are distinguished: family householders and nonfamily

householders. A family householder is a householder living with one or more individuals related

to him or her by birth, marriage, or adoption. The householder and all of the people in the

household related to him or her are family members. A nonfamily householder is a householder

living alone or with nonrelatives only.

Spouse (husband/wife). A spouse (husband/wife) is a person married to and living with a

householder. People in formal marriages, as well as people in common-law marriages, are

included. The number of spouses is equal to the number of ‘‘married-couple families’’ or

‘‘married-couple households’’ in 100-percent tabulations. Marital status categories cannot be

inferred from the 100-percent tabulations since the marital status question was not included on

the 100-percent form. In sample tabulations, the number of spouses may not be equal to the

number of married-couple households due to the differences in the weighting procedures for

sample data.

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Child. A child is a son or daughter by birth, a stepchild, or an adopted child of the householder,

regardless of the child’s age or marital status. The category excludes sons-in-law, daughters-inlaw, and foster children.

Natural-born son/daughter. Natural-born son/daughter includes a son or daughter of the

householder by birth, regardless of the age of the child.

Adopted son/daughter. Adopted son/daughter includes a son or daughter of the householder by

legal adoption, regardless of the age of the child. If a stepson/stepdaughter of the householder

has been legally adopted by the householder, the child is then classified as an adopted child.

Stepson/stepdaughter. Stepson/stepdaughter includes a son or daughter of the householder

through marriage but not by birth, regardless of the age of the child. If a stepson/stepdaughter of

the householder has been legally adopted by the householder, the child is then classified as an

adopted child.

Own child. Own child is a never-married child under 18 years who is a son or daughter of the

householder by birth, marriage (a stepchild), or adoption. For 100-percent tabulations, own

children consists of all sons/daughters of householders who are under 18 years old. For sample

data, own children consists of sons/daughters of householders who are under 18 years old and

who have never been married. Therefore, numbers of own children of householders may be

different in these two tabulations since marital status was not collected as a 100-percent item in

Census 2000.

In certain tabulations, own children are further classified as living with two parents or with one

parent only. Own children living with two parents are by definition found only in married-couple

families. In a subfamily, an ‘‘own child’’ is a child under 18 years old who is a natural-born child,

stepchild, or an adopted child of a mother in a mother-child subfamily, a father in father-child

subfamily, or either spouse in a married-couple subfamily. (Note: In the tabulation under

‘‘EMPLOYMENT STATUS’’ of own children under 6 years by employment status of parents, the

number of ‘‘own children’’ includes any child under 6 years old in a family or a subfamily who is a

son or daughter, by birth, marriage, or adoption, of a member of the householder’s family, but not

necessarily of the householder.)

Related children. Related children include the sons and daughters of the householder (including

natural-born, adopted, or stepchildren) and all other people under 18 years old, regardless of

marital status, in the household, who are related to the householder, except the spouse of the

householder. Foster children are not included since they are not related to the householder.

Other relatives. Other relatives include any household member related to the householder by

birth, marriage, or adoption, but not included specifically in another relationship category. In

certain detailed tabulations, the following categories may be shown:

Grandchild. A grandchild is a grandson or granddaughter of the householder.

Brother/sister. Brother/sister refers to the brother or sister of the householder, including

stepbrothers, stepsisters, and brothers and sisters by adoption. Brothers-in-law and sisters-in-law

are included in the ‘‘Other relative’’ category on the questionnaire.

Parent. Parent refers to the father or mother of the householder, including a stepparent or

adoptive parent. Fathers-in-law and mothers-in-law are included in the ‘‘Parent-in-law’’ category on

the questionnaire.

Parent-in-law. A parent-in-law is the mother-in-law or father-in-law of the householder.

Son-in-law/daughter-in-law. A son-in-law/daughter-in-law, by definition, is a spouse of the child of

the householder.

Other relatives. Other relatives include anyone not listed in a reported category above who is

related to the householder by birth, marriage, or adoption (brother-in-law, grandparent, nephew,

aunt, cousin, and so forth).

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Nonrelatives. Nonrelatives include any household member not related to the householder by

birth, marriage, or adoption, including foster children. The following categories may be presented

in more detailed tabulations:

Roomer, boarder. A roomer or boarder is a person who lives in a room in the household of

Person 1 (householder). Some sort of cash or noncash payment (e.g., chores) is usually made for

their living accommodations.

Housemate or roommate. A housemate or roommate is a person who is not related to the

householder and who shares living quarters primarily to share expenses.

Unmarried partner. An unmarried partner is a person who is not related to the householder, who

shares living quarters, and who has a close personal relationship with the householder.

Foster child. A foster child is a person who is under 18 years old placed by the local government

in a household to receive parental care. They may be living in the household for just a brief period

or for several years. Foster children are nonrelatives of the householder. If the foster child is also

related to the householder, the child should be classified as that specific relative.

Other nonrelatives. Other nonrelatives includes individuals who are not related by birth,

marriage, or adoption to the householder and who are not described by the categories given

above.

Unrelated Individual

An unrelated individual is: (1) a householder living alone or with nonrelatives only, (2) a

household member who is not related to the householder, or (3) a person living in group quarters

who is not an inmate of an institution.

Family Type

A family includes a householder and one or more other people living in the same household who

are related to the householder by birth, marriage, or adoption. All people in a household who are

related to the householder are regarded as members of his or her family. A family household may

contain people not related to the householder, but those people are not included as part of the

householder’s family in census tabulations. Thus, the number of family households is equal to the

number of families, but family households may include more members than do families. A

household can contain only one family for purposes of census tabulations. Not all households

contain families since a household may be comprised of a group of unrelated people or of one

person living alone.

Families are classified by type as either a ‘‘married-couple family’’ or ‘‘other family’’ according to

the presence of a spouse. ‘‘Other family’’ is further broken out according to the sex of the

householder. The data on family type are based on answers to questions on sex and relationship

that were asked on a 100-percent basis.

Married-couple family. This category includes a family in which the householder and his or her

spouse are enumerated as members of the same household.

Other family:

Male householder, no wife present. This category includes a family with a male maintaining a

household with no wife of the householder present.

Female householder, no husband present. This category includes a family with a female

maintaining a household with no husband of the householder present.

Nonfamily household. This category includes a householder living alone or with nonrelatives

only.

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Average family size. A measure obtained by dividing the number of people in families by the

total number of families (or family householders). In cases where this measure is tabulated by

race or Hispanic origin, the race or Hispanic origin refers to that of the householder rather than to

the race or Hispanic origin of each individual. Average family size is rounded to the nearest

hundredth.

Subfamily

A subfamily is a married couple with or without own children under 18 years old who are

never-married, or a single parent with one or more own never-married children under 18 years

old. A subfamily does not maintain their own household, but lives in a household where the

householder or householder’s spouse is a relative. Subfamilies are defined during processing of

sample data.

In some labor force tabulations, both one-parent families and one-parent subfamilies are included

in the total number of children living with one parent, while both married-couple families and

married-couple subfamilies are included in the total number of children living with two parents.

Unmarried-Partner Household

An unmarried-partner household is a household that includes a householder and an ‘‘unmarried

partner.’’ An ‘‘unmarried partner’’ can be of the same or of the opposite sex of the householder. An

‘‘unmarried partner’’ in an ‘‘unmarried-partner household’’ is an adult who is unrelated to the

householder, but shares living quarters and has a close personal relationship with the

householder. An unmarried-partner household may also be a family household or a nonfamily

household, depending on the presence or absence of another person in the household who is

related to the householder. There may be only one unmarried-partner per household, and an

unmarried partner may not be included in a married-couple household as the householder cannot

have both a spouse and an unmarried partner.

Comparability. The 1990 relationship category, ‘‘Natural-born or adopted son/daughter’’ has

been replaced by ‘‘Natural-born son/daughter’’ and ‘‘Adopted son/daughter.’’ The following

categories were added in Census 2000: ‘‘Parent-in-law’’ and ‘‘Son-in-law/daughter-in-law.’’ The

1990 nonrelative category, ‘‘Roomer, boarder, or foster child’’ was replaced by two categories:

‘‘Roomer, boarder’’ and ‘‘Foster child.’’ In 2000, foster children had to be in the local government’s

foster care system to be so classified. In 1990, foster children were estimated to be those children

in households who were not related to the householder and for whom there were no people 18

years old and over who may have been their parents. In 1990, stepchildren who were adopted by

the householder were still classified as stepchildren. In 2000, stepchildren who were legally

adopted by the householder were classified as adopted children. Own children shown in

100-percent tabulations may be of any marital status. For comparability with previous censuses,

own children shown for sample data are still restricted to never-married children. Some tables

may show relationship to householder and be labeled ‘‘child.’’ These tabulations include all marital

status categories of natural-born, adopted, or stepchildren. Because of changes in editing

procedures, same sex unmarried-partner households in 1990 should not be compared with same

sex unmarried-partner households in Census 2000.

INCOME IN 1999

The data on income in 1999 were derived from answers to long-form questionnaire Items 31 and

32, which were asked of a sample of the population 15 years old and over. ‘‘Total income’’ is the

sum of the amounts reported separately for wage or salary income; net self-employment income;

interest, dividends, or net rental or royalty income or income from estates and trusts; social

security or railroad retirement income; Supplemental Security Income (SSI); public assistance or

welfare payments; retirement, survivor, or disability pensions; and all other income.

‘‘Earnings’’ are defined as the sum of wage or salary income and net income from selfemployment. ‘‘Earnings’’ represent the amount of income received regularly for people 16 years

old and over before deductions for personal income taxes, social security, bond purchases, union

dues, medicare deductions, etc.

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Receipts from the following sources are not included as income: capital gains, money received

from the sale of property (unless the recipient was engaged in the business of selling such

property); the value of income ‘‘in kind’’ from food stamps, public housing subsidies, medical care,

employer contributions for individuals, etc.; withdrawal of bank deposits; money borrowed; tax

refunds; exchange of money between relatives living in the same household; and gifts and

lump-sum inheritances, insurance payments, and other types of lump-sum receipts.

Income Type in 1999

The eight types of income reported in the census are defined as follows:

1. Wage or salary income. Wage or salary income includes total money earnings received for

work performed as an employee during the calendar year 1999. It includes wages, salary,

armed forces pay, commissions, tips, piece-rate payments, and cash bonuses earned before

deductions were made for taxes, bonds, pensions, union dues, etc.

2. Self-employment income. Self-employment income includes both farm and nonfarm

self-employment income. Nonfarm self-employment income includes net money income (gross

receipts minus expenses) from one’s own business, professional enterprise, or partnership.

Gross receipts include the value of all goods sold and services rendered. Expenses include

costs of goods purchased, rent, heat, light, power, depreciation charges, wages and salaries

paid, business taxes (not personal income taxes), etc. Farm self-employment income includes

net money income (gross receipts minus operating expenses) from the operation of a farm by

a person on his or her own account, as an owner, renter, or sharecropper. Gross receipts

include the value of all products sold, government farm programs, money received from the

rental of farm equipment to others, and incidental receipts from the sale of wood, sand,

gravel, etc. Operating expenses include cost of feed, fertilizer, seed, and other farming

supplies, cash wages paid to farmhands, depreciation charges, cash rent, interest on farm

mortgages, farm building repairs, farm taxes (not state and federal personal income taxes),

etc. The value of fuel, food, or other farm products used for family living is not included as

part of net income.

3. Interest, dividends, or net rental income. Interest, dividends, or net rental income

includes interest on savings or bonds, dividends from stockholdings or membership in

associations, net income from rental of property to others and receipts from boarders or

lodgers, net royalties, and periodic payments from an estate or trust fund.

4. Social security income. Social security income includes social security pensions and

survivors benefits, permanent disability insurance payments made by the Social Security

Administration prior to deductions for medical insurance, and railroad retirement insurance

checks from the U.S. government. Medicare reimbursements are not included.

5. Supplemental Security Income (SSI). Supplemental Security Income (SSI) is a nationwide

U.S. assistance program administered by the Social Security Administration that guarantees a

minimum level of income for needy aged, blind, or disabled individuals. The census

questionnaire for Puerto Rico asked about the receipt of SSI; however, SSI is not a federally

administered program in Puerto Rico. Therefore, it is probably not being interpreted by most

respondents as the same as SSI in the United States. The only way a resident of Puerto Rico

could have appropriately reported SSI would have been if they lived in the United States at any

time during calendar year 1999 and received SSI.

6. Public assistance income. Public assistance income includes general assistance and

Temporary Assistance to Needy Families (TANF). Separate payments received for hospital or

other medical care (vendor payments) are excluded. This does not include Supplemental

Security Income (SSI).

7. Retirement income. Retirement income includes: (1) retirement pensions and survivor

benefits from a former employer; labor union; or federal, state, or local government; and the

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U.S. military; (2) income from workers’ compensation; disability income from companies or

unions; federal, state, or local government; and the U.S. military; (3) periodic receipts from

annuities and insurance; and (4) regular income from IRA and KEOGH plans. This does not

include social security income.

8. All other income. All other income includes unemployment compensation, Veterans’

Administration (VA) payments, alimony and child support, contributions received periodically

from people not living in the household, military family allotments, and other kinds of

periodic income other than earnings.

Income of households. This includes the income of the householder and all other individuals

15 years old and over in the household, whether they are related to the householder or not.

Because many households consist of only one person, average household income is usually less

than average family income. Although the household income statistics cover calendar year 1999,

the characteristics of individuals and the composition of households refer to the time of

enumeration (April 1, 2000). Thus, the income of the household does not include amounts

received by individuals who were members of the household during all or part of calendar year

1999 if these individuals no longer resided in the household at the time of enumeration. Similarly,

income amounts reported by individuals who did not reside in the household during 1999 but

who were members of the household at the time of enumeration are included. However, the

composition of most households was the same during 1999 as at the time of enumeration.

Income of families. In compiling statistics on family income, the incomes of all members 15

years old and over related to the householder are summed and treated as a single amount.

Although the family income statistics cover calendar year 1999, the characteristics of individuals

and the composition of families refer to the time of enumeration (April 1, 2000). Thus, the income

of the family does not include amounts received by individuals who were members of the family

during all or part of calendar year 1999 if these individuals no longer resided with the family at

the time of enumeration. Similarly, income amounts reported by individuals who did not reside

with the family during 1999 but who were members of the family at the time of enumeration are

included. However, the composition of most families was the same during 1999 as at the time of

enumeration.

Income of individuals. Income for individuals is obtained by summing the eight types of

income for each person 15 years old and over. The characteristics of individuals are based on the

time of enumeration (April 1, 2000), even though the amounts are for calendar year 1999.

Median income. The median divides the income distribution into two equal parts: one-half of

the cases falling below the median income and one-half above the median. For households and

families, the median income is based on the distribution of the total number of households and

families including those with no income. The median income for individuals is based on

individuals 15 years old and over with income. Median income for households, families, and

individuals is computed on the basis of a standard distribution (see the ‘‘Standard Distributions’’

section under ‘‘Derived Measures’’). Median income is rounded to the nearest whole dollar. Median

income figures are calculated using linear interpolation if the width of the interval containing the

estimate is $2,500 or less. If the width of the interval containing the estimate is greater than

$2,500, Pareto interpolation is used. (For more information on medians and interpolation, see

‘‘Derived Measures.’’)

Aggregate income. Aggregate income is the sum of all incomes for a particular universe.

Aggregate income is subject to rounding, which means that all cells in a matrix are rounded to the

nearest hundred dollars. (For more information, see ‘‘Aggregate’’ under ‘‘Derived Measures.’’)

Mean income. Mean income is the amount obtained by dividing the aggregate income of a

particular statistical universe by the number of units in that universe. Thus, mean household

income is obtained by dividing total household income by the total number of households. (The

aggregate used to calculate mean income is rounded. For more information, see ‘‘Aggregate

income.’’)

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For the various types of income, the means are based on households having those types of

income. For households and families, the mean income is based on the distribution of the total

number of households and families including those with no income. The mean income for

individuals is based on individuals 15 years old and over with income. Mean income is rounded to

the nearest whole dollar.

Care should be exercised in using and interpreting mean income values for small subgroups of

the population. Because the mean is influenced strongly by extreme values in the distribution, it is

especially susceptible to the effects of sampling variability, misreporting, and processing errors.

The median, which is not affected by extreme values, is, therefore, a better measure than the

mean when the population base is small. The mean, nevertheless, is shown in some data products

for most small subgroups because, when weighted according to the number of cases, the means

can be added to obtained summary measures for areas and groups other than those shown in

census tabulations. (For more information on means, see ‘‘Derived Measures.’’)

Earnings. Earnings are defined as the sum of wage or salary income and net income from

self-employment. ‘‘Earnings’’ represent the amount of income received regularly for people 16

years old and over before deductions for personal income taxes, social security, bond purchases,

union dues, medicare deductions, etc.

Median earnings. The median divides the earnings distribution into two equal parts: one-half of

the cases falling below the median earnings and one-half above the median. Median earnings is

restricted to individuals 16 years old and over and is computed on the basis of a standard

distribution (see the ‘‘Standard Distributions’’ section under ‘‘Derived Measures’’). Median earnings

figures are calculated using linear interpolation if the width of the interval containing the estimate

is $2,500 or less. If the width of the interval containing the estimate is greater than $2,500,

Pareto interpolation is used. (For more information on medians and interpolation, see ‘‘Derived

Measures.’’)

Aggregate earnings. Aggregate earnings are the sum of wage/salary and net self-employment

income for a particular universe of people 16 years old and over. Aggregate earnings are subject

to rounding, which means that all cells in a matrix are rounded to the nearest hundred dollars.

(For more information, see ‘‘Aggregate’’ under ‘‘Derived Measures.’’)

Mean earnings. Mean earnings is calculated by dividing aggregate earnings by the population

16 years old and over with earnings. (The aggregate used to calculate mean earnings is rounded.

For more information, see ‘‘Aggregate earnings.’’) Mean earnings is rounded to the nearest whole

dollar. (For more information on means, see ‘‘Derived Measures.’’)

Per capita income. Per capita income is the mean income computed for every man, woman, and

child in a particular group. It is derived by dividing the total income of a particular group by the

total population in that group. (The aggregate used to calculate per capita income is rounded. For

more information, see ‘‘Aggregate’’ under ‘‘Derived Measures.’’) Per capita income is rounded to

the nearest whole dollar. (For more information on means, see ‘‘Derived Measures.’’)

Limitation of the data. Since answers to income questions are frequently based on memory

and not on records, many people tended to forget minor or sporadic sources of income and,

therefore, underreport their income. Underreporting tends to be more pronounced for income

sources that are not derived from earnings, such as public assistance, interest, dividends, and net

rental income.

Extensive computer editing procedures were instituted in the data processing operation to reduce

some of these reporting errors and to improve the accuracy of the income data. These procedures

corrected various reporting deficiencies and improved the consistency of reported income items

associated with work experience and information on occupation and class of worker. For example,

if people reported they were self employed on their own farm, not incorporated, but had reported

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wage and salary earnings only, the latter amount was shifted to self-employment income. Also, if

any respondent reported total income only, the amount was generally assigned to one of the

types of income items according to responses to the work experience and class-of-worker

questions. Another type of problem involved nonreporting of income data. Where income

information was not reported, procedures were devised to impute appropriate values with either

no income or positive or negative dollar amounts for the missing entries. (For more information

on imputation, see ‘‘Accuracy of the Data.’’)

In income tabulations for households and families, the lowest income group (for example, less

than $10,000) includes units that were classified as having no 1999 income. Many of these were

living on income ‘‘in kind,’’ savings, or gifts, were newly created families, or were families in

which the sole breadwinner had recently died or left the household. However, many of the

households and families who reported no income probably had some money income that was not

reported in the census.

Comparability. The income data collected in the 1970, 1980, and 1990 censuses are similar to

Census 2000 data, but there are variations in the detail of the questions. In 1990, income

information for 1989 was collected from people in approximately 17 percent of all housing units

and group quarters. Each person 15 years old and over was required to report:

• Wage or salary income

• Net nonfarm self-employment income

• Net farm self-employment income

• Interest, dividend, or net rental or royalty income

• Social security or railroad retirement income

• Supplemental Security Income (SSI), Aid to Families With Dependent Children (AFDC), or other

public assistance income

• Retirement, survivor, or disability income

• Income from all other sources

Since the number of respondents reporting farm self-employment income has become smaller

over the years, the farm and nonfarm self-employment items were combined into one item for

Census 2000. Data users are still able to obtain an estimate of ‘‘farm self-employment’’ income by

looking at net self-employment income in combination with other labor force related questions

such as ‘‘occupation of longest job.’’ Supplemental Security Income (SSI) was asked separately

from other public assistance income or welfare received from a state or local welfare office in

Census 2000.

Between the 1990 census and Census 2000, there were minor differences in the processing of the

data. In both censuses, all people with missing values in one or more of the detailed type of

income items were designated as allocated. Each missing entry was imputed either as a ‘‘no’’ or as

a dollar amount. If total income was reported and one or more of the type of income fields was

not answered, then the entry in total income generally was assigned to one of the income types

according to the socioeconomic characteristics of the income recipient. This person was

designated as unallocated.

In 2000 and 1990, all nonrespondents with income not reported (whether householders or other

people) were assigned the reported income of people with similar characteristics. (For more

information on imputation, see ‘‘Accuracy of the Data.’’)

In 1980, income information for 1979 was collected from people in approximately 19 percent of

all housing units and group quarters. Each person 15 years old and over was required to report:

• Wage or salary income

• Net nonfarm self-employment income

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U.S. Census Bureau, Census 2000
• Net farm self-employment income

• Interest, dividend, or net rental or royalty income

• Social security or railroad retirement income

• Supplemental Security Income (SSI), Aid to Families With Dependent Children (AFDC), or other

public assistance income

• Income from all other sources

There was a difference in the method of computer derivation of aggregate income from individual

amounts. In the 1980 census, income amounts less than $100,000 were coded in tens of dollars,

and amounts of $100,000 or more were coded in thousands of dollars; $5 was added to each

amount coded in tens of dollars and $500 to each amount coded in thousands of dollars. Entries

of $999,000 or more were treated as $999,500 and losses of $9,999 or more were treated as

minus $9,999. In the 1990 and 2000 censuses, income amounts less than $999,999 were keyed

to the nearest dollar. Amounts of $999,999 or more were treated as $999,999 and losses of

$9,999 or more were treated as minus $9,999 in all of the computer derivations of aggregate

income.

In 1970, information on income in 1969 was obtained from all members in every fifth housing

unit 14 years old and over and small group quarters (less than 15 people) and every fifth person

in all other group quarters. Each person 14 years old and over was required to report:

• Wage or salary income

• Net nonfarm self-employment income

• Net farm self-employment income

• Social security or railroad retirement income

• Supplemental Security Income (SSI), Aid to Families With Dependent Children (AFDC), or other

public assistance income

• Income from all other sources

If a person reported a dollar amount in wage or salary, net nonfarm self-employment income, or

net farm self-employment income, the person was considered as unallocated only if no further

dollar amounts were imputed for any additional missing entries.

In 1960, data on income were obtained from all members 14 years old and over in every fourth

housing unit and from every fourth person 14 years old and over living in group quarters. Each

person was required to report wage or salary income, net self-employment income, and income

other than earnings received in 1959. An assumption was made in the editing process that no

other type of income was received by a person who reported the receipt of either wage and salary

income or self-employment but who had failed to report the receipt of other money income.

For several reasons, the income data shown in census tabulations are not directly comparable

with those that may be obtained from statistical summaries of income tax returns. Income, as

defined for federal tax purposes, differs somewhat from the Census Bureau concept. Moreover,

the coverage of income tax statistics is different because of the exemptions of people having

small amounts of income and the inclusion of net capital gains in tax returns. Furthermore,

members of some families file separate returns and others file joint returns; consequently, the

income reporting unit is not consistently either a family or a person.

The earnings data shown in census tabulations are not directly comparable with earnings records

of the Social Security Administration. The earnings record data for 1999 excluded the earnings of

some civilian government employees, some employees of nonprofit organizations, workers

covered by the Railroad Retirement Act, and people not covered by the program because of

insufficient earnings. Because census data are obtained from household questionnaires, they may

differ from Social Security Administration earnings record data, which are based upon employers’

reports and the federal income tax returns of self-employed people.

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The Bureau of Economic Analysis (BEA) of the Department of Commerce publishes annual data on

aggregate and per-capita personal income received by the population for states, metropolitan

areas, and selected counties. Aggregate income estimates based on the income statistics shown in

census products usually would be less than those shown in the BEA income series for several

reasons. The Census Bureau data are obtained directly from households; whereas, the BEA income

series is estimated largely on the basis of data from administrative records of business and

governmental sources. Moreover, the definitions of income are different. The BEA income series

includes some items not included in the income data shown in census publications, such as

income ‘‘in kind,’’ income received by nonprofit institutions, the value of services of banks and

other financial intermediaries rendered to people without the assessment of specific charges,

medicare payments, and the income of people who died or emigrated prior to April 1, 2000. On

the other hand, the census income data include contributions for support received from people

not residing in the same household if the income is received on a regular basis.

In comparing income data for 1999 with earlier years, it should be noted that an increase or

decrease in money income does not necessarily represent a comparable change in real income,

unless adjustments for changes in prices are made.

INDUSTRY, OCCUPATION, AND CLASS OF WORKER

The data on industry, occupation, and class of worker were derived from answers to long-form

questionnaire Items 27, 28, and 29 respectively, which were asked of a sample of the population

15 years old and over. Information on industry relates to the kind of business conducted by a

person’s employing organization; occupation describes the kind of work a person does on the job.

For employed people, the data refer to the person’s job during the reference week. For those who

worked at two or more jobs, the data refer to the job at which the person worked the greatest

number of hours during the reference week. For unemployed people, the data refer to their last

job. The industry and occupation statistics are derived from the detailed classification systems

developed for Census 2000 as described below.

Respondents provided the data for the tabulations by writing on the questionnaires descriptions

of their industry and occupation. These descriptions were data captured and sent to an automated

coder (computer software), which assigned a portion of the written entries to categories in the

classification system. The automated system assigned codes to 59 percent of the industry entries

and 56 percent of the occupation entries. Those cases not coded by the computer were referred to

clerical staff in the Census Bureau’s National Processing Center in Jeffersonville, Indiana, for

coding. The clerical staff converted the written questionnaire responses to codes by comparing

these responses to entries in the Alphabetical Index of Industries and Occupations. For the

industry code, these coders also referred to an Employer Name List. This list, prepared from the

American Business Index (ABI), contained the names of business establishments and their North

American Industrial Classification System (NAICS) codes converted to population census

equivalents. This list facilitated coding and maintained industrial classification comparability.

Industry

The industry classification system used during Census 2000 was developed for the census and

consists of 265 categories for employed people, classified into 14 major industry groups. From

1940 through 1990, the industrial classification has been based on the Standard Industrial

Classification (SIC) Manual. The Census 2000 classification was developed from the 1997 North

American Industry Classification System (NAICS) published by the Office of Management and

Budget, Executive Office of the President. NAICS is an industry description system that groups

establishments into industries based on the activities in which they are primarily engaged.

The NAICS differs from most industry classifications because it is a supply-based, or

production-oriented economic concept. Census data, which were collected from households, differ

in detail and nature from those obtained from establishment surveys. Therefore, the census

classification system, while defined in NAICS terms, cannot reflect the full detail in all categories.

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U.S. Census Bureau, Census 2000
NAICS shows a more detailed hierarchical structure than that used for Census 2000. The

expansion from 11 divisions in the SIC to 20 sectors in the NAICS provides groupings that are

meaningful and useful for economic analysis. Various statistical programs that previously sampled

or published at the SIC levels face problems with the coverage for 20 sectors instead of 11

divisions. These programs requested an alternative aggregation structure for production purposes

which was approved and issued by the Office of Management and Budget on May 15, 2001, in the

clarification Memorandum No. 2, ‘‘NAICS Alternate Aggregation Structure for Use by U.S. Statistical

Agencies.’’ Several census data products will use the alternative aggregation, while others, such as

Summary File 3 and Summary File 4, will use more detail.

Occupation

The occupational classification system used during Census 2000 consists of 509 specific

occupational categories for employed people arranged into 23 major occupational groups. This

classification was developed based on the Standard Occupational Classification (SOC) Manual:

2000, which includes a hierarchical structure showing 23 major occupational groups divided into

96 minor groups, 449 broad groups, and 821 detailed occupations. For Census 2000, tabulations

with occupation as the primary characteristic present several levels of occupational detail.

Some occupation groups are related closely to certain industries. Operators of transportation

equipment, farm operators and workers, and healthcare providers account for major portions of

their respective industries of transportation, agriculture, and health care. However, the industry

categories include people in other occupations. For example, people employed in agriculture

include truck drivers and bookkeepers; people employed in the transportation industry include

mechanics, freight handlers, and payroll clerks; and people employed in the health care industry

include occupations such as security guard and secretary.

Class of Worker

The data on class of worker were derived from answers to long-form questionnaire Item 29. The

information on class of worker refers to the same job as a respondent’s industry and occupation,

categorizing people according to the type of ownership of the employing organization. The class

of worker categories are defined as follows:

Private wage and salary workers. Private wage and salary workers include people who worked

for wages, salary, commission, tips, pay-in-kind, or piece rates for a private for-profit employer or

a private not-for-profit, tax-exempt, or charitable organization. Self-employed people whose

business was incorporated are included with private wage and salary workers because they are

paid employees of their own companies. Some tabulations present data separately for these

subcategories: ‘‘for-profit,’’ ‘‘not-for-profit,’’ and ‘‘own business incorporated.’’

Government workers. Government workers includes people who were employees of any federal,

tribal, state, or local governmental unit, regardless of the activity of the particular agency. For

some tabulations, the data were presented separately for federal (includes tribal), state, and local

governments. Employees of foreign governments, the United Nations, or other formal

international organizations were classified as ‘‘federal government,’’ unlike the 1990 census when

they were classified as ‘‘private not-for-profit.’’

Self-employed in own not incorporated business workers. Self-employed in own not incorporated

business workers includes people who worked for profit or fees in their own unincorporated

business, professional practice, or trade, or who operated a farm.

Unpaid family workers. Unpaid family workers includes people who worked 15 hours or more

without pay in a business or on a farm operated by a relative.

Self-employed in own incorporated business workers. In tabulations, this category is included with

private wage and salary workers because they are paid employees of their own companies.

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U.S. Census Bureau, Census 2000
The industry category, ‘‘Public administration,’’ is limited to regular government functions, such as

legislative, judicial, administrative, and regulatory activities of governments. Other government

organizations, such as schools, hospitals, liquor stores, and bus lines, are classified by industry

according to the activity in which they are engaged. On the other hand, the class of worker

government categories include all government workers.

In some cases, respondents supplied industry, occupation, or class of worker descriptions that

were not sufficiently specific for a precise classification or did not report on these items at all. In

the coding operation, certain types of incomplete entries were corrected using the Alphabetical

Index of Industries and Occupations. For example, it was possible in certain situations to assign

an industry code based on the occupation reported, or vice versa.

Following the coding operations, there was a computer edit and an allocation process. The edit

first determined whether a respondent was in the universe that required an industry and

occupation code. The codes for the three items (industry, occupation, and class of worker) were

checked to ensure they were valid and were edited for their relation to each other. Invalid and

inconsistent codes were either blanked or changed to a consistent code.

If one or more of the three codes was blank after the edit, a code was assigned from a ‘‘similar’’

person based on other items, such as age, sex, education, farm or nonfarm residence, and weeks

worked. If all of the labor force and income data were blank, all of these economic items were

assigned from one other person or one other household who provided all the necessary data.

Comparability. Comparability of industry and occupation data was affected by a number of

factors, primarily the systems used to classify the questionnaire responses. For both the industry

and occupation classification systems, the basic structures were generally the same from 1940 to

1970, but changes in the individual categories limited comparability of the data from one census

to another. These changes were needed to recognize the ‘‘birth’’ of new industries and

occupations, the ‘‘death’’ of others, the growth and decline in existing industries and occupations,

and the desire of analysts and other users for more detail in the presentation of the data. Probably

the greatest cause of noncomparability is the movement of a segment of a category to a different

category in the next census. Changes in the nature of jobs and respondent terminology and

refinement of category composition made these movements necessary. The 1990 occupational

classification system was essentially the same as the 1980 census. However, the industry

classification had minor changes between 1980 and 1990 that reflected changes to the Standard

Industrial Classification (SIC).

In Census 2000, both the industry and occupation classifications had major revisions to reflect

changes to the North American Industrial Classification System (NAICS) and the Standard

Occupational Classification (SOC). The conversion of the census classifications in 2000 means that

the 2000 classification systems are not comparable to the classifications used in the 1990 census

and earlier.

Other factors that affected data comparability over the decades include the universe to which the

data referred (in 1970, the age cutoff for labor force was changed from 14 years old to 16 years

old); the wording of the industry and occupation questions on the questionnaire (for example,

important changes were made in 1970); improvements in the coding procedures (the Employer

Name List technique was introduced in 1960); and how the ‘‘not reported’’ cases were handled.

Prior to 1970, they were placed in the residual categories, ‘‘industry not reported’’ and

‘‘occupation not reported.’’ In 1970, an allocation process was introduced that assigned these

cases to major groups. In Census 2000, as in 1980 and 1990, the ‘‘not reported’’ cases were

assigned to individual categories. Therefore, the 1980, 1990, and Census 2000 data for individual

categories include some numbers of people who would have been tabulated in a ‘‘not reported’’

category in previous censuses.

The following publications contain information on the various factors affecting comparability and

are particularly useful for understanding differences in the occupation and industry information

from earlier censuses: U.S. Census Bureau, Changes Between the 1950 and 1960 Occupation and

Industry Classifications With Detailed Adjustments of 1950 Data to the 1960 Classifications,

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U.S. Census Bureau, Census 2000
Technical Paper No. 18, 1968; U.S. Census Bureau, 1970 Occupation and Industry Classification

Systems in Terms of Their 1960 Occupation and Industry Elements, Technical Paper No. 26, 1972;

and U.S. Census Bureau, The Relationship Between the 1970 and 1980 Industry and Occupation

Classification Systems, Technical Paper No. 59, 1988. For citations for earlier census years, see the

1980 Census of Population report, PC80-1-D, Detailed Population Characteristics.

The 1990 census introduced an additional class of worker category for ‘‘private not-for-profit’’

employers, which is also used for Census 2000. This category is a subset of the 1980 category

‘‘employee of private employer’’ so there is no comparable data before 1990. Also in 1990,

employees of foreign governments, the United Nations, etc., were classified as ‘‘private

not-for-profit,’’ rather than ‘‘Federal Government’’ as in 1970, 1980, and Census 2000. While in

theory, there was a change in comparability, in practice, the small number of U.S. residents

working for foreign governments made this change negligible.

Comparability between the statistics on industry and occupation from Census 2000 and statistics

from other sources is affected by many of the factors described in the ‘‘Employment Status’’

section. These factors are primarily geographic differences between residence and place of work,

different dates of reference, and differences in counts because of dual job holdings. Industry data

from population censuses cover all industries and all kinds of workers, whereas, data from

establishments often exclude private household workers, government workers, and the self

employed. Also, the replies from household respondents may have differed in detail and nature

from those obtained from establishments.

Occupation data from the census and data from government licensing agencies, professional

associations, trade unions, etc., may not be as comparable as expected. Organizational listings

often include people not in the labor force or people devoting all or most of their time to another

occupation; or the same person may be included in two or more different listings. In addition,

relatively few organizations, except for those requiring licensing, attained complete coverage of

membership in a particular occupational field.

JOURNEY TO WORK

Place of Work

The data on place of work were derived from answers to long-form questionnaire Item 22, which

was asked of a sample of the population 15 years old and over. This question was asked of people

who indicated in question 21 that they worked at some time during the reference week. (For more

information, see ‘‘Reference Week.’’)

Data were tabulated for workers 16 years old and over; that is, members of the armed forces and

civilians who were at work during the reference week. Data on place of work refer to the

geographic location at which workers carried out their occupational activities during the reference

week. The exact address (number and street name) of the place of work was asked, as well as the

place (city, town, or post office); whether or not the place of work was inside or outside the limits

of that city or town; and the county, state or foreign country, and ZIP Code. If the person’s

employer operated in more than one location, the exact address of the location or branch where

the respondent worked was requested. When the number and street name were unknown, a

description of the location, such as the building name or nearest street or intersection, was to be

entered.

In areas where the workplace address was coded to the block level, people were tabulated as

working inside or outside a specific place based on the location of that address, regardless of the

response to Question 22c concerning city/town limits. In areas where it was impossible to code

the workplace address to the block level, people were tabulated as working in a place if a place

name was reported in Question 22b and the response to Question 22c was either ‘‘yes’’ or the

item was left blank. In selected areas, census designated places (CDPs) may appear in the

tabulations as places of work. The accuracy of place-of-work data for CDPs may be affected by the

extent to which their census names were familiar to respondents, and by coding problems caused

by similarities between the CDP name and the names of other geographic jurisdictions in the

same vicinity.

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U.S. Census Bureau, Census 2000
Place-of-work data are given for minor civil divisions (MCDs) (generally, cities, towns, and

townships) in 12 selected states (Connecticut, Maine, Massachusetts, Michigan, Minnesota, New

Hampshire, New Jersey, New York, Pennsylvania, Rhode Island, Vermont, and Wisconsin), based on

the responses to the place-of-work question. The MCDs in these 12 states also serve as

general-purpose local governments that generally can perform the same governmental functions

as incorporated places. The U.S. Census Bureau presents data for the MCDs in all data products in

which it provides data for places. Many towns and townships are regarded locally as equivalent to

a place, and therefore, were reported as the place of work. When a respondent reported a locality

or incorporated place that formed a part of a township or town, the coding and tabulating

procedure was designed to include the response in the total for the township or town.

Limitation of the data. The data on place of work relate to a reference week; that is, the

calendar week preceding the date on which the respondents completed their questionnaires or

were interviewed by enumerators. This week is not the same for all respondents because the

enumeration was not completed in 1 week.

However, for the majority of people, the reference week for Census 2000 is the week ending with

April 1, 2000. The lack of a uniform reference week means that the place-of-work data reported in

Census 2000 do not exactly match the distribution of workplace locations observed or measured

during an actual work week.

The place-of-work data are estimates of people 16 years old and over who were both employed

and at work during the reference week (including people in the armed forces). People who did not

work during the reference week but had jobs or businesses from which they were temporarily

absent due to illness, bad weather, industrial dispute, vacation, or other personal reasons are not

included in the place-of-work data. Therefore, the data on place of work understate the total

number of jobs or total employment in a geographic area during the reference week. It also

should be noted that people who had irregular, casual, or unstructured jobs during the reference

week may have erroneously reported themselves as not working.

The address where the individual worked most often during the reference week was recorded on

the Census 2000 questionnaire. If a worker held two jobs, only data about the primary job (the

one worked the greatest number of hours during the preceding week) was requested. People who

regularly worked in several locations during the reference week were requested to give the

address at which they began work each day. For cases in which daily work was not begun at a

central place each day, the person was asked to provide as much information as possible to

describe the area in which he or she worked most during the reference week.

Comparability. The wording of the question on place of work was substantially the same in

Census 2000, the 1990 census, and the 1980 census. However, data on place of work from

Census 2000 and the 1990 census are based on the full census sample, while data from the 1980

census were based on only about one-half of the full sample.

For the 1980 census, nonresponse or incomplete responses to the place-of-work question were

not allocated, resulting in the use of ‘‘not reported’’ categories in the 1980 publications. However,

for Census 2000 and the 1990 census, when place of work was not reported or the response was

incomplete, a work location was allocated to the person based on their means of transportation to

work, travel time to work, industry, and location of residence and workplace of others. Census

2000 and 1990 census tabulations, therefore, do not contain a ‘‘not reported’’ category for the

place-of-work data.

Comparisons between 1980, 1990, or Census 2000 data on the gross number of workers in

particular commuting flows, or the total number of people working in an area, should be made

with extreme caution. Any apparent increase in the magnitude of the gross numbers may be due

solely to the fact that for Census 2000 and the 1990 census, the ‘‘not reported’’ cases have been

distributed among specific place-of-work destinations, instead of tallied in a separate category, as

in 1980.

Means of Transportation to Work

The data on means of transportation to work were derived from answers to long-form

questionnaire Item 23a, which was asked of a sample of the population 15 years old and over.

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This question was asked of people who indicated in Question 21 that they worked at some time

during the reference week. (For more information, see ‘‘Reference Week.’’) Means of transportation

to work refers to the principal mode of travel or type of conveyance that the worker usually used

to get from home to work during the reference week. Data were tabulated for workers 16 years

old and over; that is, members of the armed forces and civilians who were at work during the

reference week.

People who used different means of transportation on different days of the week were asked to

specify the one they used most often, that is, the greatest number of days. People who used more

than one means of transportation to get to work each day were asked to report the one used for

the longest distance during the work trip. The category ‘‘Car, truck, or van — drove alone’’

includes people who usually drove alone to work, as well as people who were driven to work by

someone who then drove back home or to a nonwork destination during the reference week. The

category ‘‘Car, truck, or van — carpooled’’ includes workers who reported that two or more people

usually rode to work in the vehicle during the reference week. The category ‘‘Public

transportation’’ includes workers who usually used a bus or trolley bus, streetcar or trolley car,

subway or elevated, railroad, ferryboat, or taxicab during the reference week. Público is included

in the ‘‘Public transportation’’ category in Puerto Rico. The category ‘‘Other means’’ includes

workers who used a mode of travel that is not identified separately. The category ‘‘Other means’’

may vary from table to table, depending on the amount of detail shown in a particular

distribution.

The means of transportation data for some areas may show workers using modes of public

transportation that are not available in those areas (for example, subway or elevated riders in a

metropolitan area where there actually is no subway or elevated service). This result is largely due

to people who worked during the reference week at a location that was different from their usual

place of work (such as people away from home on business in an area where subway service was

available) and people who used more than one means of transportation each day but whose

principal means was unavailable where they lived (for example, residents of nonmetropolitan

areas who drove to the fringe of a metropolitan area and took the commuter railroad most of the

distance to work).

Private Vehicle Occupancy

The data on private vehicle occupancy were derived from answers to long-form questionnaire

Item 23b, which was asked of a sample of the population 15 years old and over. This question

was asked of people who indicated in Question 21 that they worked at some time during the

reference week and who reported in Question 23a that their means of transportation to work was

‘‘Car, truck, or van.’’ (For more information, see ‘‘Reference Week.’’) Data were tabulated for

workers 16 years old and over; that is, members of the armed forces and civilians who were at

work during the reference week.

Private vehicle occupancy refers to the number of people who usually rode to work in the vehicle

during the reference week. The category ‘‘Drove alone,’’ includes people who usually drove alone

to work as well as people who were driven to work by someone who then drove back home or to

a nonwork destination. The category ‘‘Carpooled,’’ includes workers who reported that two or

more people usually rode to work in the vehicle during the reference week.

Workers per car, truck, or van. This is obtained by dividing the number of people who

reported using a car, truck, or van to get to work by the number of such vehicles that they used.

The number of vehicles used is derived by counting each person who drove alone as one vehicle,

each person who reported being in a 2-person carpool as one-half of a vehicle, each person who

reported being in a three-person carpool as one-third of a vehicle, and so on, and then summing

all the vehicles. Workers per car, truck, or van is rounded to the nearest hundredth.

Time Leaving Home to Go to Work

The data on time leaving home to go to work were derived from answers to long-form

questionnaire Item 24a, which was asked of a sample of the population 15 years old and over.

This question was asked of people who indicated in Question 21 that they worked at some time

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during the reference week and who reported in Question 23a that they worked outside their

home. The departure time refers to the time of day that the person usually left home to go to

work during the reference week. (For more information, see ‘‘Reference Week.’’) Data were

tabulated for workers 16 years old and over; that is, members of the armed forces and civilians

who were at work during the reference week.

Travel Time to Work

The data on travel time to work were derived from answers to long-form questionnaire Item 24b,

which was asked of a sample of the population 15 years old and over. This question was asked of

people who indicated in Question 21 that they worked at some time during the reference week

and who reported in Question 23a that they worked outside their home. Travel time to work refers

to the total number of minutes that it usually took the person to get from home to work each day

during the reference week. The elapsed time includes time spent waiting for public transportation,

picking up passengers in carpools, and time spent in other activities related to getting to work.

(For more information, see ‘‘Reference Week.’’) Data were tabulated for workers 16 years old and

over; that is, members of the armed forces and civilians who were at work during the reference

week.

Aggregate travel time to work (minutes). Aggregate travel time to work (minutes) is

calculated by adding together all the number of minutes each worker traveled to work (one way)

for specified travel times and/or means of transportation. Aggregate travel time to work is zero if

the aggregate is zero, is rounded to 4 minutes if the actual aggregate is 1 to 7 minutes, and is

rounded to the nearest multiple of 5 minutes for all other values (if the aggregate is not already

evenly divisible by 5). (For more information, see ‘‘Aggregate’’ under ‘‘Derived Measures.’’)

Mean travel time to work (minutes). Mean travel time to work is the average travel time in

minutes that workers usually took to get from home to work (one way) during the reference week.

This measure is obtained by dividing the total number of minutes taken to get from home to work

by the number of workers 16 years old and over who did not work at home. The travel time

includes time spent waiting for public transportation, picking up passengers in carpools, and time

spent in other activities related to getting to work. Mean travel times of workers having specific

characteristics also are computed. For example, the mean travel time of workers traveling 45 or

more minutes is computed by dividing the aggregate travel time of workers whose travel time

was 45 or more minutes by the number of workers whose travel time was 45 or more minutes.

Mean travel time to work is rounded to the nearest tenth. (For more information on means, see

‘‘Derived Measures.’’)

LANGUAGE SPOKEN AT HOME AND ABILITY TO SPEAK ENGLISH

Language Spoken at Home

Data on language spoken at home were derived from answers to long-form questionnaire Items

11a and 11b, which were asked of a sample of the population. Data were edited to include in

tabulations only the population 5 years old and over. Questions 11a and 11b referred to

languages spoken at home in an effort to measure the current use of languages other than

English. People who knew languages other than English but did not use them at home or who

only used them elsewhere were excluded. Most people who reported speaking a language other

than English at home also speak English. The questions did not permit determination of the

primary or dominant language of people who spoke both English and another language. (For more

information, see discussion below on ‘‘Ability to Speak English.’’)

Instructions to enumerators and questionnaire assistance center staff stated that a respondent

should mark ‘‘Yes’’ in Question 11a if the person sometimes or always spoke a language other

than English at home. Also, respondents were instructed not to mark ‘‘Yes’’ if a language other

than English was spoken only at school or work, or if speaking another language was limited to a

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U.S. Census Bureau, Census 2000
few expressions or slang of the other language. For Question 11b, respondents were instructed to

print the name of the non-English language spoken at home. If the person spoke more than one

language other than English, the person was to report the language spoken more often or the

language learned first.

For people who indicated that they spoke a language other than English at home in Question 11a,

but failed to specify the name of the language in Question 11b, the language was assigned based

on the language of other speakers in the household, on the language of a person of the same

Spanish origin or detailed race group living in the same or a nearby area, or of a person of the

same place of birth or ancestry. In all cases where a person was assigned a non-English language,

it was assumed that the language was spoken at home. People for whom a language other than

English was entered in Question 11b, and for whom Question 11a was blank were assumed to

speak that other language at home.

The write-in responses listed in Question 11b (specific language spoken) were optically scanned

or keyed onto computer files, then coded into more than 380 detailed language categories using

an automated coding system. The automated procedure compared write-in responses reported by

respondents with entries in a master code list, which initially contained approximately 2,000

language names, and added variants and misspellings found in the 1990 census. Each write-in

response was given a numeric code that was associated with one of the detailed categories in the

dictionary. If the respondent listed more than one non-English language, only the first was coded.

The write-in responses represented the names people used for languages they speak. They may

not match the names or categories used by linguists. The sets of categories used are sometimes

geographic and sometimes linguistic. The following table provides an illustration of the content of

the classification schemes used to present language data.

Four and Thirty-Nine Group Classifications of Census 2000 Languages Spoken at Home

With Illustrative Examples

Four-Group Classification Thirty-Nine-Group

Classification

Examples

Spanish Spanish and Spanish creole Spanish, Ladino

Other Indo-European languages French French, Cajun, Patois

French Creole Haitian Creole

Italian

Portuguese and Portuguese

creole

German

Yiddish

Other West Germanic

languages

Dutch, Pennsylvania Dutch,

Afrikaans

Scandinavian languages Danish, Norwegian, Swedish

Greek

Russian

Polish

Serbo-Croatian Serbo-Croatian, Croatian,

Serbian

Other Slavic languages Czech, Slovak, Ukrainian

Armenian

Persian

Gujarati

Hindi

Urdu

Other Indic languages Bengali, Marathi, Punjabi,

Romany

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U.S. Census Bureau, Census 2000
Four and Thirty-Nine Group Classifications of Census 2000 Languages Spoken at Home

With Illustrative Examples—Con.

Other Indo-European languages Albanian, Gaelic, Lithuanian,

Rumanian

Asian and Pacific Island

languages

Chinese Cantonese, Formosan,

Mandarin

Japanese

Korean

Mon-Khmer, Cambodian

Miao, Hmong

Thai

Laotian

Vietnamese

Other Asian languages Dravidian languages

(Malayalam, Telugu, Tamil),

Turkish

Tagalog

Other Pacific Island languages Chamorro, Hawaiian, Ilocano,

Indonesian, Samoan

All other languages Navajo

Other Native North American

languages

Apache, Cherokee, Choctaw,

Dakota, Keres, Pima, Yupik

Hungarian

Arabic

Hebrew

African languages Amharic, Ibo, Twi, Yoruba,

Bantu, Swahili, Somali

Other and unspecified

languages

Syriac, Finnish, Other languages

of the Americas, not reported

Household language. In households where one or more people (5 years old and over) speak a

language other than English, the household language assigned to all household members is the

non-English language spoken by the first person with a non-English language in the following

order: householder, spouse, parent, sibling, child, grandchild, in-laws, other relatives, stepchild,

unmarried partner, housemate or roommate, and other nonrelatives. Thus, a person who speaks

only English may have a non-English household language assigned to him/her in tabulations of

individuals by household language.

Language density. Language density is a household measure of the number of household

members who speak a language other than English at home in three categories: none, some, and

all speak another language.

Limitation of the data. Some people who speak a language other than English at home may

have first learned that language at school. However, these people would be expected to indicate

that they spoke English ‘‘Very well.’’ People who speak a language other than English, but do not

do so at home, should have been reported as not speaking a language other than English at

home.

The extreme detail in which language names were coded may give a false impression of the

linguistic precision of these data. The names used by speakers of a language to identify it may

reflect ethnic, geographic, or political affiliations and do not necessarily respect linguistic

distinctions. The categories shown in the tabulations were chosen on a number of criteria, such as

information about the number of speakers of each language that might be expected in a sample

of the U.S. population.

Comparability. Information on language has been collected in every census since 1890, except

1950. The comparability of data among censuses is limited by changes in question wording, by

the subpopulations to whom the question was addressed, and by the detail that was published.

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The same question on language was asked in 1980, 1990, and Census 2000. This question on the

current language spoken at home replaced the questions asked in prior censuses on mother

tongue; that is, the language other than English spoken in the person’s home when he or she was

a child; one’s first language; or the language spoken before immigrating to the United States. The

censuses of 1910-1940, 1960, and 1970 included questions on mother tongue.

A change in coding procedures from 1980 to 1990 improved accuracy of coding and may have

affected the number of people reported in some of the 380 plus categories. In 1980, coding clerks

supplied numeric codes for the written entries on each questionnaire using a 2,000 name

reference list. In 1990, written entries were keyed, then transcribed to a computer file and

matched to a computer dictionary that began with the 2,000 name list. The name list was

expanded as unmatched entries were referred to headquarters specialists for resolution. In Census

2000, the written entries were transcribed by ‘‘optical character recognition’’ (OCR), or manually

keyed when the computer could not read the entry. Then all language entries were copied to a

separate computer file and matched to a master code list. The code list is the master file

developed from all language unique entries on the 1990 census, and included over 55,000

entries. The computerized matching ensured that identical alphabetic entries received the same

code. Unmatched entries were referred to headquarters specialists for coding. In 2000, entries

were reported in about 350 of the 380 categories.

Ability to Speak English

Data on ability to speak English were derived from the answers to long-form questionnaire Item

11c, which was asked of a sample of the population. Respondents who reported that they spoke a

language other than English in long-form questionnaire Item 11a were asked to indicate their

ability to speak English in one of the following categories: ‘‘Very well,’’ ‘‘Well,’’ ‘‘Not well,’’ or ‘‘Not

at all.’’

The data on ability to speak English represent the person’s own perception about his or her own

ability or, because census questionnaires are usually completed by one household member, the

responses may represent the perception of another household member. Respondents were not

instructed on how to interpret the response categories in Question 11c.

People who reported that they spoke a language other than English at home, but whose ability to

speak English was not reported, were assigned the English-language ability of a randomly selected

person of the same age, Hispanic origin, nativity and year of entry, and language group.

Linguistic isolation. A household in which no person 14 years old and over speaks only

English and no person 14 years old and over who speaks a language other than English speaks

English ‘‘Very well’’ is classified as ‘‘linguistically isolated.’’ In other words, a household in which

all members 14 years old and over speak a non-English language and also speak English less than

‘‘Very well’’ (have difficulty with English) is ‘‘linguistically isolated.’’ All the members of a

linguistically isolated household are tabulated as linguistically isolated, including members under

14 years old who may speak only English.

Comparability. The current question on ability to speak English was asked for the first time in

1980. From 1890 to 1910, ‘‘Able to speak English, yes/no’’ was asked along with two literacy

questions. In tabulations from 1980, the categories ‘‘Very well’’ and ‘‘Well’’ were combined. Data

from other surveys suggested a major difference between the category ‘‘Very well’’ and the

remaining categories. In some tabulations showing ability to speak English, people who reported

that they spoke English ‘‘Very well’’ are presented separately from people who reported their

ability to speak English as less than ‘‘Very well.’’

MARITAL STATUS

The data on marital status were derived from answers to long-form questionnaire Item 7, ‘‘What is

this person’s marital status,’’ which was asked of a sample of the population. The marital status

classification refers to the status at the time of enumeration. Data on marital status are tabulated

only for the population 15 years old and over.

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Each person was asked whether they were ‘‘Now married,’’ ‘‘Widowed,’’ ‘‘Divorced,’’ ‘‘Separated,’’ or

‘‘Never married.’’ Couples who live together (for example, people in common-law marriages) were

able to report the marital status they considered to be the most appropriate.

Never married. Never married includes all people who have never been married, including

people whose only marriage(s) was annulled.

Ever married. Ever married includes people married at the time of enumeration, along with

those who are separated, widowed, or divorced.

Now married, except separated. Now married, except separated includes people whose

current marriage has not ended through widowhood or divorce; or who are not currently

separated. The category also may include people in common-law marriages if they consider this

category the most appropriate. In certain tabulations, currently married people are further

classified as ‘‘spouse present’’ or ‘‘spouse absent.’’

Separated. Separated includes people with legal separations, people living apart with intentions

of obtaining a divorce, and people who are permanently or temporarily separated because of

marital discord.

Widowed. This category includes widows and widowers who have not remarried.

Divorced. This category includes people who are legally divorced and who have not remarried.

Now married. All people whose current marriage has not ended by widowhood or divorce. This

category includes people defined above as ‘‘separated.’’

Spouse present. Married people whose wives or husbands were enumerated as members of the

same household or the same group quarters facility, including those whose spouses may have

been temporarily absent for such reasons as travel or hospitalization.

Spouse absent. Married people whose wives or husbands were not enumerated as members of

the same household or the same group quarters facility.

Separated. Defined above.

Spouse absent, other. Married people whose wives or husbands were not enumerated as

members of the same household, excluding separated. For example, this includes any person

whose spouse was employed and living away from home, in an institution, or away in the armed

forces.

Differences between the number of currently married males and the number of currently married

females occur because of reporting differences and because some husbands and wives have their

usual residence in different areas. These differences also can occur because different weights are

applied to the individual’s data. Any differences between the number of ‘‘now married, spouse

present’’ males and females are due solely to sample weighting procedures. By definition, the

numbers would be the same.

Comparability. Census 2000 marital status definitions are the same as those used in 1990. A

general marital status question has been asked in every census since 1880. While the marital

status question in Census 2000 is identical to that of 1990, in Census 2000 the question was only

asked on the long form, while in previous years it was asked on the short form.

PLACE OF BIRTH

The data on place of birth were derived from answers to long-form questionnaire Item 12 which

was asked of a sample of the population. Respondents were asked to report the U.S. state, Puerto

Rico, U.S. Island Area, or foreign country where they were born. People not reporting a place of

birth were assigned the state or country of birth of another family member or their residence 5

years earlier, or were imputed the response of another person with similar characteristics. People

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U.S. Census Bureau, Census 2000
born outside the United States were asked to report their place of birth according to current

international boundaries. Since numerous changes in boundaries of foreign countries have

occurred in the last century, some people may have reported their place of birth in terms of

boundaries that existed at the time of their birth or emigration, or in accordance with their own

national preference.

The place of birth question for residents of Puerto Rico was identical to the question on the

stateside questionnaires. The same code lists were used to code the responses and similar edits

were applied.

Nativity. Information on place of birth and citizenship status was used to classify the population

into two major categories: native and foreign born. (See ‘‘Native’’ and ‘‘Foreign Born’’ under

‘‘Citizenship Status.’’)

Comparability. The 2000 decennial census place of birth question matches the 1999 and

subsequent American Community Survey (ACS) questions. The 1990 decennial census place of

birth question matches the 1996-1998 ACS questions. For the 2000 decennial census and

post-1998 ACS samples, separate check boxes and write-in spaces were used for people born in

the United Sates and those born outside the United States.

Data on place of birth have been collected in each U.S. census since 1850. In prior censuses, the

place of birth question asked respondents to report the state or foreign country where they were

born. There were no check boxes in prior censuses. Nonresponse to the place of birth question

has been imputed to some degree since 1970. For 1970 through 1990, state of birth was imputed

for people born in the United States; people born outside the United States were assigned ‘‘born

abroad, country not specified’’ or ‘‘born in an outlying area, not specified.’’ In 2000, a specific

Island Area (referred to as ‘‘outlying areas’’ in previous censuses) or country of birth was imputed.

Data on place of birth for Puerto Rico was asked beginning in 1910. In censuses prior to 2000, the

place of birth question asked respondents to report the municipio in Puerto Rico as well as the

U.S. state or the foreign country where they were born. Tabulations for those censuses showed

people who were born in the same or a different municipio. Municipio of birth was not asked in

2000. Nonresponse was imputed in 1980 and 1990 for all questions, but a specific foreign

country was not imputed until 2000.

Parental nativity (birthplace of parents) was asked of a sample of the population in each decennial

census between 1870 and 1970. The 1980, 1990, and 2000 decennial censuses instead included

a question on ancestry, except for the U.S. Island Areas (such as Guam) which asked the parental

nativity question. (See ‘‘Ancestry.’’)

POVERTY STATUS IN 1999

The poverty data were derived from answers to long-form questionnaire Items 31 and 32, the

same questions used to derive income data. (For more information, see ‘‘Income in 1999.’’) The

Census Bureau uses the federal government’s official poverty definition. The Social Security

Administration (SSA) developed the original poverty definition in 1964, which federal interagency

committees subsequently revised in 1969 and 1980. The Office of Management and Budget’s

(OMB’s) Directive 14 prescribes this definition as the official poverty measure for federal agencies

to use in their statistical work.

Derivation of the Current Poverty Measure

When the Social Security Administration (SSA) created the poverty definition in 1964, it focused on

family food consumption. The U.S. Department of Agriculture (USDA) used its data about the

nutritional needs of children and adults to construct food plans for families. Within each food

plan, dollar amounts varied according to the total number of people in the family and the family’s

composition, such as the number of children within each family. The cheapest of these plans, the

Economy Food Plan, was designed to address the dietary needs of families on an austere budget.

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Since the USDA’s 1955 Food Consumption Survey showed that families of three or more people

across all income levels spent roughly one-third of their income on food, the SSA multiplied the

cost of the Economy Food Plan by three to obtain dollar figures for the poverty thresholds. Since

the Economy Food Plan budgets varied by family size and composition, so too did the poverty

thresholds. For 2-person families, the thresholds were adjusted by slightly higher factors because

those households had higher fixed costs. Thresholds for unrelated individuals were calculated as

a fixed proportion of the corresponding thresholds for 2-person families.

The poverty thresholds are revised annually to allow for changes in the cost of living as reflected

in the Consumer Price Index (CPI-U). The poverty thresholds are the same for all parts of the

country — they are not adjusted for regional, state or local variations in the cost of living. For a

detailed discussion of the poverty definition, see U.S. Census Bureau, Current Population Reports,

‘‘Poverty in the United States: 1999,’’ P-60-210.

How Poverty Status is Determined

The poverty status of families and unrelated individuals in 1999 was determined using 48

thresholds (income cutoffs) arranged in a two dimensional matrix. The matrix consists of family

size (from 1 person to 9 or more people) cross-classified by presence and number of family

members under 18 years old (from no children present to 8 or more children present). Unrelated

individuals and 2-person families were further differentiated by the age of the reference person

(RP) (under 65 years old and 65 years old and over).

To determine a person’s poverty status, one compares the person’s total family income with the

poverty threshold appropriate for that person’s family size and composition (see table below). If

the total income of that person’s family is less than the threshold appropriate for that family, then

the person is considered poor, together with every member of his or her family. If a person is not

living with anyone related by birth, marriage, or adoption, then the person’s own income is

compared with his or her poverty threshold.

Weighted average thresholds. Even though the official poverty data are based on the 48

thresholds arranged by family size and number of children within the family, data users often

want to get an idea of the ‘‘average’’ threshold for a given family size. The weighted average

thresholds provide that summary. They are weighted averages because for any given family size,

families with a certain number of children may be more or less common than families with a

different number of children. In other words, among 3-person families, there are more families

with two adults and one child than families with three adults. To get the weighted average

threshold for families of a particular size, multiply each threshold by the number of families for

whom that threshold applies; then add up those products, and divide by the total number of

families who are of that family size.

For example, for 3-person families, 1999 weighted thresholds were calculated in the following

way using information from the 2000 Current Population Survey:

Family type Number of families Threshold

No children (three adults) 5,213 * $13,032 = $67,935,816

One child (two adults) 8,208 * $13,410 = $110,069,280

Two children (one adult) 2,656 * $13,423 = $35,651,488

Totals 16,077 $213,656,584

Source: Current Population Survey, March 2000.

Dividing $213,656,584 by 16,077 (the total number of 3-person families) yields $13,290, the

weighted average threshold for 3-person families. Please note that the thresholds are weighted

not just by the number of poor families, but by all families for which the thresholds apply: the

thresholds are used to determine which families are at or above poverty, as well as below poverty.

Individuals for whom poverty status is determined. Poverty status was determined for all

people except institutionalized people, people in military group quarters, people in college

dormitories, and unrelated individuals under 15 years old. These groups also were excluded from

the numerator and denominator when calculating poverty rates. They are considered neither

‘‘poor’’ nor ‘‘nonpoor.’’

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Specified poverty levels. For various reasons, the official poverty definition does not satisfy all

the needs of data users. Therefore, some of the data reflect the number of people below different

percentages of the poverty level. These specified poverty levels are obtained by multiplying the

official thresholds by the appropriate factor. For example, the average income cutoff at 125

percent of the poverty level was $21,286 ($17,029 x 1.25) in 1999 for family of four people.

Poverty Threshold in 1999, by Size of Family and Number of Related Children Under

18 Years Old

(Dollars)

Size of family unit Weighted

average

threshold

Related children under 18 years old

None One Two Three Four Five Six Seven

Eight or

more

One person (unrelated

individual) ............. 8501

Under 65 years old .... 8667 8667

65 years old

and over . . . . . . . . . . . . 7990 7990

Two people ............. 10869

Householder under 65

years old . . . . . . . . . . . . 11214 11156 11483

Householder 65 years

old and over ......... 10075 10070 11440

Three people ........... 13290 13032 13410 13423

Four people ............ 17029 17184 17465 16895 16954

Five people ............. 20127 20723 21024 20380 19882 19578

Six people .............. 22727 23835 23930 23436 22964 22261 21845

Seven people ........... 25912 27425 27596 27006 26595 25828 24934 23953

Eight people ............ 28967 30673 30944 30387 29899 29206 28327 27412 27180

Nine people or more ..... 34417 36897 37076 36583 36169 35489 34554 33708 33499 32208

Income deficit. Income deficit represents the difference between the total income of families

and unrelated individuals below the poverty level and their respective poverty thresholds. In

computing the income deficit, families reporting a net income loss are assigned zero dollars and

for such cases the deficit is equal to the poverty threshold.

This measure provides an estimate of the amount which would be required to raise the incomes of

all poor families and unrelated individuals to their respective poverty thresholds. The income

deficit is thus a measure of the degree of the impoverishment of a family or unrelated individual.

However, please use caution when comparing the average deficits of families with different

characteristics. Apparent differences in average income deficits may, to some extent, be a

function of differences in family size.

Aggregate income deficit. Aggregate income deficit refers only to those families or unrelated

individuals who are classified as below the poverty level. It is defined as the group (e.g., type of

family) sum total of differences between the appropriate threshold and total family income or total

personal income. Aggregate income deficit is subject to rounding, which means that all cells in a

matrix are rounded to the nearest hundred dollars. (For more information, see ‘‘Aggregate’’ under

‘‘Derived Measures.’’)

Mean income deficit. Mean income deficit represents the amount obtained by dividing the total

income deficit for a group below the poverty level by the number of families (or unrelated

individuals) in that group. (The aggregate used to calculate mean income deficit is rounded.

For more information, see ‘‘Aggregate income deficit.’’) As mentioned above, please use caution

when comparing mean income deficits of families with different characteristics, as apparent

differences may to some extent be a function of differences in family size. Mean income deficit is

rounded to the nearest whole dollar. (For more information on means, see ‘‘Derived Measures.’’)

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U.S. Census Bureau, Census 2000
Comparability. The poverty definition used in the 1980 census and later differed slightly from

the one used in the 1970 census. Three technical modifications were made to the definition used

in the 1970 census:

1. Beginning with the 1980 census, the Office of Management and Budget eliminated any

distinction between thresholds for ‘‘families with a female householder with no husband

present’’ and all other families. The new thresholds — which apply to all families regardless of

the householder’s sex — were a weighted average of the old thresholds.

2. The Office of Management and Budget eliminated any differences between farm families and

nonfarm families, and farm and nonfarm unrelated individuals. In the 1970 census, the farm

thresholds were 85 percent of those for nonfarm families; whereas, in 1980 and later, the

same thresholds were applied to all families and unrelated individuals regardless of residence.

3. The thresholds by size of family were extended from seven or more people in 1970 to nine or

more people in 1980 and later.

These changes resulted in a minimal increase in the number of poor at the national level. For a

complete discussion of these modifications and their impact, see U.S. Census Bureau, Current

Population Reports, ‘‘Characteristics of the Population Below the Poverty Level: 1980,’’ P-60, No.

133.

With respect to poverty, the population covered in the 1970 census was almost the same as that

covered in the 1980 census and later. The only difference was that in 1980 and after, unrelated

individuals under 15 years old were excluded from the poverty universe, while in 1970, only

those under age 14 were excluded. The limited poverty data from the 1960 census excluded all

people in group quarters and included all unrelated individuals regardless of age. It was unlikely

that these differences in population coverage would have had significant impact when comparing

the poverty data for people since the 1960 census.

Current Population Survey. Because the questionnaires and data collection procedures differ,

Census 2000 estimates of the number of people below the poverty level by various characteristics

may differ from those reported in the March 2000 Current Population Survey. Please refer to

www.census.gov/hhes/income/guidance.html for more details.

Household poverty data. Poverty status is not defined for households — only for families and

unrelated individuals. Because some data users need poverty data at the household level, we have

provided a few matrices that show tallies of households by the poverty status of the householder.

In these matrices, the householder’s poverty status is computed exactly the same way as

described above. Therefore, to determine whether or not a ‘‘household’’ was in poverty, anyone

who is not related to the householder is ignored.

Example #1: Household #1 has six members—amarried couple, Alice and Albert, with their

10-year-old nephew, Aaron, and another married couple, Brian and Beatrice, with their 6-year-old

son, Ben. Alice is the householder. Brian, Beatrice, and Ben are not related to Alice.

Household member Relationship to Alice Income

Alice self (householder) $5,000

Albert spouse $40,000

Aaron related child $0

Brian unrelated individual $0

Beatrice unrelated individual $5,000

Ben unrelated individual $0

The total income of Alice’s family is $45,000, and their poverty threshold is $13,410, since there

are three people in the family, with one member under age 18. Their income is greater than their

threshold, so they are not classified as poor. Their ratio of income to poverty is 3.36 ($45,000

divided by $13,410). Alice’s income-to-poverty ratio is also 3.36, because everyone in the same

family has the same poverty status.

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U.S. Census Bureau, Census 2000
Even though Brian, Beatrice and Ben would be classified as poor if they lived in their own

household, the household is not classified as poor because the householder, Alice, is not poor, as

was shown in the computation above.

Example #2: Household #2 consists of four adults, Claude, Danielle, Emily, and Francis, who are

unrelated to each other and are living as housemates. Claude, who is age 30, is the householder.

Household member Relationship to Claude Income

Claude self (householder) $4,500

Danielle unrelated individual $82,000

Emily unrelated individual $28,000

Francis unrelated individual $40,000

Because Claude is under age 65 and is not living with any family members, his poverty threshold

is $8,667. Since his income, $4,500, is less than his threshold, he is considered poor. His ratio of

income to poverty is 0.52 ($4,500 divided by $8,667).

Household #2 would be classified as poor because its householder, Claude, is poor, even though

the other household members (who are not related to Claude) are not in poverty.

RACE

The data on race, which was asked of all people, were derived from answers to long-form

questionnaire Item 6 and short-form questionnaire Item 8. The concept of race, as used by the

Census Bureau, reflects self-identification by people according to the race or races with which

they most closely identify. These categories are socio-political constructs and should not be

interpreted as being scientific or anthropological in nature. Furthermore, the race categories

include both racial and national-origin groups.

The racial classifications used by the Census Bureau adhere to the October 30, 1997, Federal

Register Notice entitled, ‘‘Revisions to the Standards for the Classification of Federal Data on Race

and Ethnicity,’’ issued by the Office of Management and Budget (OMB). These standards govern the

categories used to collect and present federal data on race and ethnicity. The OMB requires five

minimum categories (White, Black or African American, American Indian or Alaska Native, Asian,

and Native Hawaiian or Other Pacific Islander) for race. The race categories are described below

with a sixth category, ‘‘Some other race,’’ added with OMB approval. In addition to the five race

groups, the OMB also states that respondents should be offered the option of selecting one or

more races.

If an individual did not provide a race response, the race or races of the householder or other

household members were assigned using specific rules of precedence of household relationship.

For example, if race was missing for a natural-born child in the household, then either the race or

races of the householder, another natural-born child, or the spouse of the householder were

assigned. If race was not reported for anyone in the household, the race or races of a householder

in a previously processed household were assigned. This procedure is a variation of the general

imputation procedures described in ‘‘Accuracy of the Data.’’

White. A person having origins in any of the original peoples of Europe, the Middle East, or North

Africa. It includes people who indicate their race as ‘‘White’’ or report entries such as Irish,

German, Italian, Lebanese, Near Easterner, Arab, or Polish.

Black or African American. A person having origins in any of the Black racial groups of Africa.

It includes people who indicate their race as ‘‘Black, African Am., or Negro,’’ or provide written

entries such as African American, Afro-American, Kenyan, Nigerian, or Haitian.

American Indian or Alaska Native. A person having origins in any of the original peoples of

North and South America (including Central America) and who maintain tribal affiliation or

community attachment. It includes people who classified themselves as described below.

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U.S. Census Bureau, Census 2000
American Indian. This category includes people who indicated their race as ‘‘American Indian,’’

entered the name of an Indian tribe, or reported such entries as Canadian Indian, French American

Indian, or Spanish American Indian.

American Indian tribe. Respondents who identified themselves as American Indian were asked

to report their enrolled or principal tribe. Therefore, tribal data in tabulations reflect the written

entries reported on the questionnaires. Some of the entries (for example, Iroquois, Sioux,

Colorado River, and Flathead) represent nations or reservations. The information on tribe is

based on self-identification and therefore does not reflect any designation of federally or

state-recognized tribe. Information on American Indian tribes is presented in summary files. The

information for Census 2000 is derived from the American Indian Tribal Classification List for

the 1990 census that was updated based on a December 1997, Federal Register Notice, entitled

‘‘Indian Entities Recognized and Eligible to Receive Service From the United States Bureau of

Indian Affairs,’’ Department of the Interior, Bureau of Indian Affairs, issued by the Office of

Management and Budget.

Alaska Native. This category includes written responses of Eskimos, Aleuts, and Alaska Indians as

well as entries such as Arctic Slope, Inupiat, Yupik, Alutiiq, Egegik, and Pribilovian. The Alaska

tribes are the Alaskan Athabascan, Tlingit, and Haida. The information for Census 2000 is based

on the American Indian Tribal Classification List for the 1990 census, which was expanded to list

the individual Alaska Native Villages when provided as a written response for race.

Asian. A person having origins in any of the original peoples of the Far East, Southeast Asia, or

the Indian subcontinent including, for example, Cambodia, China, India, Japan, Korea, Malaysia,

Pakistan, the Philippine Islands, Thailand, and Vietnam. It includes ‘‘Asian Indian,’’ ‘‘Chinese,’’

‘‘Filipino,’’ ‘‘Korean,’’ ‘‘Japanese,’’ ‘‘Vietnamese,’’ and ‘‘Other Asian.’’

Asian Indian. This category includes people who indicated their race as ‘‘Asian Indian’’ or

identified themselves as Bengalese, Bharat, Dravidian, East Indian, or Goanese.

Chinese. This category includes people who indicate their race as ‘‘Chinese’’ or who identify

themselves as Cantonese, or Chinese American. In some census tabulations, written entries of

Taiwanese are included with Chinese while in others they are shown separately.

Filipino. This category includes people who indicate their race as ‘‘Filipino’’ or who report entries

such as Philipino, Philipine, or Filipino American.

Japanese. This category includes people who indicate their race as ‘‘Japanese’’ or who report

entries such as Nipponese or Japanese American.

Korean. This category includes people who indicate their race as ‘‘Korean’’ or who provide a

response of Korean American.

Vietnamese. This category includes people who indicate their race as ‘‘Vietnamese’’ or who

provide a response of Vietnamese American.

Cambodian. This category includes people who provide a response such as Cambodian or

Cambodia.

Hmong. This category includes people who provide a response such as Hmong, Laohmong, or

Mong.

Laotian. This category includes people who provide a response such as Laotian, Laos, or Lao.

Thai. This category includes people who provide a response such as Thai, Thailand, or Siamese.

Other Asian. This category includes people who provide a response of Bangladeshi; Bhutanese;

Burmese; Indochinese; Indonesian; Iwo Jiman; Madagascar; Malaysian; Maldivian; Nepalese;

Okinawan; Pakistani; Singaporean; Sri Lankan; or Other Asian, specified and Other Asian, not

specified.

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U.S. Census Bureau, Census 2000
Native Hawaiian or Other Pacific Islander. A person having origins in any of the original

peoples of Hawaii, Guam, Samoa, or other Pacific Islands. It includes people who indicate their

race as ‘‘Native Hawaiian,’’ ‘‘Guamanian or Chamorro,’’ ‘‘Samoan,’’ and ‘‘Other Pacific Islander.’’

Native Hawaiian. This category includes people who indicate their race as ‘‘Native Hawaiian’’ or

who identify themselves as ‘‘Part Hawaiian’’ or ‘‘Hawaiian.’’

Guamanian or Chamorro. This category includes people who indicate their race as such,

including written entries of Guam or Chamorro.

Samoan. This category includes people who indicate their race as ‘‘Samoan’’ or who identify

themselves as American Samoan or Western Samoan.

Other Pacific Islander. This category includes people who provide a write-in response of a Pacific

Islander group such as Carolinian; Chuukese (Trukese); Fijian; Kosraean; Melanesian; Micronesian;

Northern Mariana Islander; Palauan; Papua New Guinean; Pohnpeian; Polynesian; Solomon

Islander; Tahitian; Tokelauan; Tongan; Yapese; or Other Pacific Islander, specified and Other Pacific

Islander, not specified.

Some other race. This category includes all other responses not included in the ‘‘White,’’ ‘‘Black

or African American,’’ ‘‘American Indian or Alaska Native,’’ ‘‘Asian,’’ and ‘‘Native Hawaiian or Other

Pacific Islander’’ race categories described above. Respondents providing write-in entries such as

multiracial, mixed, interracial, or a Hispanic/Latino group (for example, Mexican, Puerto Rican, or

Cuban) in the ‘‘Some other race’’ write-in space are included in this category.

Two or more races. People may have chosen to provide two or more races either by checking

two or more race response check boxes, by providing multiple write-in responses, or by some

combination of check boxes and write-in responses. The race response categories shown on the

questionnaire are collapsed into the five minimum races identified by the OMB, and the Census

Bureau ‘‘Some other race’’ category. For data product purposes, ‘‘Two or more races’’ refers to

combinations of two or more of the following race categories:

1. White

2. Black or African American

3. American Indian and Alaska Native

4. Asian

5. Native Hawaiian and Other Pacific Islander

6. Some other race

There are 57 possible combinations (see below) involving the race categories shown above. Thus,

according to this approach, a response of ‘‘White’’ and ‘‘Asian’’ was tallied as two or more races,

while a response of ‘‘Japanese’’ and ‘‘Chinese’’ was not because ‘‘Japanese’’ and ‘‘Chinese’’ are both

Asian responses. Tabulations of responses involving reporting of two or more races within the

American Indian and Alaska Native, Asian, or Native Hawaiian and Other Pacific Islander

categories are available in other data products.

Two or More Races (57 Possible Specified Combinations)

1. White; Black or African American

2. White; American Indian and Alaska Native

3. White; Asian

4. White; Native Hawaiian and Other Pacific Islander

5. White; Some other race

6. Black or African American; American Indian and Alaska Native

7. Black or African American; Asian

8. Black or African American; Native Hawaiian and Other Pacific Islander

9. Black or African American; Some other race

10. American Indian and Alaska Native; Asian

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U.S. Census Bureau, Census 2000
Two or More Races (57 Possible Specified Combinations)—Con.

11. American Indian and Alaska Native; Native Hawaiian and Other Pacific Islander

12. American Indian and Alaska Native; Some other race

13. Asian; Native Hawaiian and Other Pacific Islander

14. Asian; Some other race

15. Native Hawaiian and Other Pacific Islander; Some other race

16. White; Black or African American; American Indian and Alaska Native

17. White; Black or African American; Asian

18. White; Black or African American; Native Hawaiian and Other Pacific Islander

19. White; Black or African American; Some other race

20. White; American Indian and Alaska Native; Asian

21. White; American Indian and Alaska Native; Native Hawaiian and Other Pacific Islander

22. White; American Indian and Alaska Native; Some other race

23. White; Asian; Native Hawaiian and Other Pacific Islander

24. White; Asian; Some other race

25. White; Native Hawaiian and Other Pacific Islander; Some other race

26. Black or African American; American Indian and Alaska Native; Asian

27. Black or African American; American Indian and Alaska Native; Native Hawaiian and Other

Pacific Islander

28. Black or African American; American Indian and Alaska Native; Some other race

29. Black or African American; Asian; Native Hawaiian and Other Pacific Islander

30. Black or African American; Asian; Some other race

31. Black or African American; Native Hawaiian and Other Pacific Islander; Some other race

32. American Indian and Alaska Native; Asian; Native Hawaiian and Other Pacific Islander

33. American Indian and Alaska Native; Asian; Some other race

34. American Indian and Alaska Native; Native Hawaiian and Other Pacific Islander; Some other

race

35. Asian; Native Hawaiian and Other Pacific Islander; Some other race

36. White; Black or African American; American Indian and Alaska Native; Asian

37. White; Black or African American; American Indian and Alaska Native; Native Hawaiian and

Other Pacific Islander

38. White; Black or African American; American Indian and Alaska Native; Some other race

39. White; Black or African American; Asian; Native Hawaiian and Other Pacific Islander

40. White; Black or African American; Asian; Some other race

41. White; Black or African American; Native Hawaiian and Other Pacific Islander; Some other

race

42. White; American Indian and Alaska Native; Asian; Native Hawaiian and Other Pacific Islander

43. White; American Indian and Alaska Native; Asian; Some other race

44. White; American Indian and Alaska Native; Native Hawaiian and Other Pacific Islander; Some

other race

45. White; Asian; Native Hawaiian and Other Pacific Islander; Some other race

46. Black or African American; American Indian and Alaska Native; Asian; Native Hawaiian and

Other Pacific Islander

47. Black or African American; American Indian and Alaska Native; Asian; Some other race

48. Black or African American; American Indian and Alaska Native; Native Hawaiian and Other

Pacific Islander; Some other race

49. Black or African American; Asian; Native Hawaiian and Other Pacific Islander; Some other

race

50. American Indian and Alaska Native; Asian; Native Hawaiian and Other Pacific Islander; Some

other race

51. White; Black or African American; American Indian and Alaska Native; Asian; Native

Hawaiian and Other Pacific Islander

52. White; Black or African American; American Indian and Alaska Native; Asian; Some other

race

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U.S. Census Bureau, Census 2000
Two or More Races (57 Possible Specified Combinations)—Con.

53. White; Black or African American; American Indian and Alaska Native; Native Hawaiian and

Other Pacific Islander; Some other race

54. White; Black or African American; Asian; Native Hawaiian and Other Pacific Islander; Some

other race

55. White; American Indian and Alaska Native; Asian; Native Hawaiian and Other Pacific

Islander; Some other race

56. Black or African American; American Indian and Alaska Native; Asian; Native Hawaiian and

Other Pacific Islander; Some other race

57. White; Black or African American; American Indian and Alaska Native; Asian; Native

Hawaiian and Other Pacific Islander; Some other race

Given the many possible ways of displaying data on two or more races, data products will provide

varying levels of detail. The most common presentation shows a single line indicating ‘‘Two or

more races.’’ Some data products provide totals of all 57 possible combinations of two or more

races, as well as subtotals of people reporting a specific number of races, such as people

reporting two races, people reporting three races, and so on.

In other presentations on race, data are shown for the total number of people who reported one

of the six categories alone or in combination with one or more other race categories. For example,

the category, ‘‘Asian alone or in combination with one or more other races’’ includes people who

reported Asian alone and people who reported Asian in combination with White, Black or African

American, Native Hawaiian and Other Pacific Islander, and Some other race. This number,

therefore, represents the maximum number of people who reported as Asian in the question on

race. When this data presentation is used, the individual race categories will add to more than the

total population because people may be included in more than one category.

Coding of race write-in responses. Census 2000 included an automated review, computer

edit, and coding operation on a 100-percent basis for the write-in responses to the race question,

similar to that used in the 1990 census. There were two types of coding operations: (1) automated

coding where a write-in response was automatically coded if it matched a write-in response

already contained in a database known as the ‘‘master file,’’ and (2) expert coding which took

place when a write-in response did not match an entry already on the master file, and was sent to

expert clerical coders familiar with the subject matter. During 100-percent processing of Census

2000 questionnaires, subject-matter specialists reviewed and coded written entries from four

response categories on the race item: American Indian or Alaska Native, Other Asian, Other Pacific

Islander, and Some other race. The Other Asian and Other Pacific Islander response categories

shared the same write-in area on the questionnaire. Write-in responses such as Laotian or Thai,

and Guamanian or Tongan were reviewed, coded, and tabulated as ‘‘Other Asian’’ and ‘‘Other

Pacific Islander,’’ respectively, in the census. All tribal entries were coded as either American Indian

or as Alaska Native.

Comparability. The data on race in Census 2000 are not directly comparable to those collected

in previous censuses. The October 1997 revised standards issued by the OMB led to changes in

the question on race for Census 2000. The Census 2000 Dress Rehearsal data were the first to

reflect these changes. First, respondents were allowed to select more than one category for race.

Second, the sequence of the questions on race and Hispanic origin changed. In 1990, the question

on race (Item 4) preceded the question on Hispanic origin (Item 7) with two intervening questions.

For Census 2000, the question on race immediately follows the question on Hispanic origin.

Third, there were terminology changes to the response categories, such as spelling out

‘‘American’’ instead of ‘‘Amer.’’ for the American Indian or Alaska Native category; and adding

‘‘Native’’ to the Hawaiian response category. The 1990 category, ‘‘Other race,’’ was renamed ‘‘Some

other race.’’ Other differences that may affect comparability involve the individual categories on

the Census 2000 questionnaire. The 1990 category, ‘‘Asian and Pacific Islander,’’ was separated

into two categories, ‘‘Asian’’ and ‘‘Native Hawaiian and Other Pacific Islander’’ for Census 2000.

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U.S. Census Bureau, Census 2000
Accordingly, on the Census 2000 questionnaire, there were seven Asian categories and four

Native Hawaiian and Other Pacific Islander categories. The two residual categories, ‘‘Other Asian’’

and ‘‘Other Pacific Islander,’’ replaced the 1990 single category ‘‘Other API.’’ The 1990 categories,

‘‘American Indian,’’ ‘‘Eskimo,’’ and ‘‘Aleut,’’ were combined into ‘‘American Indian and Alaska

Native.’’ American Indians and Alaska Natives can report one or more tribes.

As in 1980 and 1990, people who reported a Hispanic or Latino ethnicity in the question on race

and did not mark a specific race category were classified in the ‘‘Some other race’’ category

(‘‘Other’’ in 1980 and ‘‘Other race’’ in 1990). They commonly provided a write-in entry such as

Mexican, Puerto Rican, or Latino. In the 1970 census, most of these responses were included in

the ‘‘White’’ category. In addition, some ethnic entries that in 1990 may have been coded as White

or Black are now shown in the ‘‘Some other race’’ group.

For Puerto Rico, separate questions on race and Hispanic origin were included on their Census

2000 questionnaire; identical to the questions used in the United States. The 1950 census was the

last census to include these questions on the Puerto Rico questionnaire.

REFERENCE WEEK

The data on employment status and commuting to work are related to a 1-week time period,

known as the reference week. For each person, this week is the full calendar week, Sunday

through Saturday, preceding the date the questionnaire was completed. This calendar week is not

the same for all people since the enumeration was not completed in 1 week. The occurrence of

holidays during the enumeration period probably had no effect on the overall measurement of

employment status.

RESIDENCE 5 YEARS AGO

The data on residence 5 years earlier were derived from answers to long-form questionnaire Item

15, which was asked of a sample of the population 5 years old and over. This question asked for

the state (or foreign country), U.S. county, city or town, and ZIP Code of residence on April 1,

1995, for those people who reported that on that date they lived in a different house than their

current residence. Residence 5 years earlier is used in conjunction with location of current

residence to determine the extent of residential mobility of the population and the resulting

redistribution of the population across the various states, metropolitan areas, and regions of the

country.

On the Puerto Rico questionnaire, people living in Puerto Rico in 1995 were asked to report the

name of the municipio (county equivalent); the city, town or village; and the ZIP Code where they

lived. People living in the United States in 1995 were asked to report the name of the city, county,

state, and ZIP Code where they lived. People living outside Puerto Rico or the United States were

asked to report the name of the foreign country or U.S. Island Area where they were living in

1995.

When no information on previous residence was reported for a person, information for other

family members, if available, was used to assign a location of residence in 1995. All cases of

nonresponse or incomplete response that were not assigned a previous residence based on

information from other family members were imputed the previous residence of another person

with similar characteristics who provided complete information on residence 5 years earlier.

The tabulation category, ‘‘Same house,’’ includes all people 5 years old and over who did not move

during the 5 years as well as those who had moved but by Census Day had returned to their 1995

residence. The category, ‘‘Different house in the United States,’’ includes people who lived in the

United States 5 years earlier but lived in a different house or apartment from the one they

occupied on Census Day. These movers are then further subdivided according to the type of

move.

In most tabulations, movers within the U.S. are divided into three groups according to their

previous residence: ‘‘Different house, same county,’’ ‘‘Different county, same state,’’ and ‘‘Different

state.’’ The last group may be further subdivided into region of residence in 1995. An additional

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U.S. Census Bureau, Census 2000
category, ‘‘Abroad,’’ includes those whose previous residence was in a foreign country, Puerto

Rico, American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, or the U.S.

Virgin Islands, including members of the armed forces and their dependents. Some tabulations

show movers who were residing in Puerto Rico or one of the U.S. Island Areas in 1995 separately

from those residing in foreign countries.

In most tabulations, movers within Puerto Rico are divided into two groups according to their

1995 residence: ‘‘Same municipio,’’ and ‘‘Different municipio.’’ Municipio of previous residence in

Puerto Rico is not available for people living in the United States in 2000. Other tabulations show

movers within or between metropolitan areas similar to the stateside tabulations.

Some special tabulations present data on inmigrants, outmigrants, and net migration.

‘‘Inmigrants’’ are generally defined as those people who moved into an area. In some tabulations,

movers from abroad may be included in the number of inmigrants; in others, only movers within

the United States are included. ‘‘Outmigrants’’ are people who moved out of a specific area to

some other place in the United States. Movers who left the United States are not available to be

included in any tabulations. ‘‘Net migration’’ is calculated by subtracting the number of

outmigrants from the number of inmigrants. The net migration for the area is net inmigration if

the result is positive and net outmigration if the result is negative. In the tabulations, net

outmigration is indicated by a minus sign (-).

Inmigrants and outmigrants for states include only those people who did not live in the same

state at both dates; that is, they exclude people who moved between counties within the same

state. Thus, the sum of the inmigrants to (or outmigrants from) all counties in any state is greater

than the number of inmigrants to (or outmigrants from) that state. However, in the case of net

migration, the sum of the nets for all the counties within a state equals the net for the state. In the

same fashion, the net migration for a division or region equals the sum of the nets for the states

comprising that division or region, while the number of inmigrants and outmigrants for that

division or region is less than the sum of the inmigrants or outmigrants for the individual states.

The number of people who were living in a different house 5 years earlier is somewhat less than

the total number of moves during the 5-year period. Some people in the same house at the two

dates had moved during the 5-year period but by the time of the census had returned to their

1995 residence. Other people who were living in a different house had made one or more

intermediate moves. For similar reasons, the number of people living in a different county,

metropolitan area, or state, or the number moving between nonmetropolitan areas, may be

understated.

Comparability. Similar questions were asked on all previous censuses beginning in 1940, except

the questions in 1950 referred to residence 1 year earlier rather than 5 years earlier. Although the

questions in the 1940 census covered a 5-year period, comparability with that census is reduced

somewhat because of different definitions and categories of tabulation. Comparability with the

1960 and 1970 censuses is also somewhat reduced because nonresponse was not imputed in

those earlier censuses.

Similar questions were asked on all previous Puerto Rico censuses beginning in 1940, except the

questions in 1950 referred to residence 1 year earlier rather than 5 years earlier. Nonresponse, if

not assigned based on information from other family members, was not imputed in those earlier

censuses.

For the 1980 and 1990 censuses, nonresponse was imputed in a manner similar to Census 2000,

except that Census 2000 was the first to impute a specific city or town of previous residence

within the United States or a specific foreign country. In 1980 and 1990, only state and county (or

state, county, and minor civil division in the Northeast) were imputed; people who were abroad 5

years earlier were tabulated as ‘‘abroad, country not specified’’ rather than being imputed to a

specific country.

If residence was in the United States in 2000 but in Puerto Rico in 1995, then a specific city or

town was not imputed for nonresponse. For residents of Puerto Rico in 2000, a specific city or

town was imputed for nonresponse if they lived in a different residence in Puerto Rico in 1995 or

if they lived in the United States in 1995.

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U.S. Census Bureau, Census 2000
SCHOOL ENROLLMENT AND EMPLOYMENT STATUS

Tabulation of data on school enrollment, educational attainment, and employment status for the

population 16 to 19 years old allows for calculating the proportion of people 16 to 19 years old

who are not enrolled in school and not high school graduates (‘‘dropouts’’) and an unemployment

rate for the ‘‘dropout’’ population. Definitions of the three topics and descriptions of the census

items from which they were derived are presented in ‘‘Educational Attainment,’’ ‘‘Employment

Status,’’ and ‘‘School Enrollment and Type of School.’’

Comparability. The tabulation of school enrollment by employment status is similar to that

published in 1980 and 1990 census reports. The 1980 census tabulation included a single data

line for armed forces; school enrollment, educational attainment, and employment status data

were shown for the civilian population only. In 1970, a tabulation was included for 16 to 21 year

old males not attending school.

SCHOOL ENROLLMENT AND TYPE OF SCHOOL

Data on school enrollment were derived from answers to long-form questionnaire Items 8a and

8b, which were asked of a sample of the population. People were classified as enrolled in school if

they reported attending a ‘‘regular’’ public or private school or college at any time between

February 1, 2000, and the time of enumeration. The question included instructions to ‘‘include

only nursery school or preschool, kindergarten, elementary school, and schooling which leads to

a high school diploma or a college degree’’ as regular school or college. Respondents who did not

answer the enrollment question were assigned the enrollment status and type of school of a

person with the same age, sex, and race/Hispanic or Latino origin whose residence was in the

same or a nearby area.

Public and private school. Public and private school includes people who attended school in

the reference period and indicated they were enrolled by marking one of the questionnaire

categories for either ‘‘public school, public college’’ or ‘‘private school, private college.’’ Schools

supported and controlled primarily by a federal, state, or local government are defined as public

(including tribal schools). Those supported and controlled primarily by religious organizations or

other private groups are private.

Comparability. School enrollment questions have been included in the census since 1840;

highest grade attended was first asked in 1940; type of school was first asked in 1960. Before

1940, the enrollment question in various censuses referred to attendance in the preceding

6 months or the preceding year. In 1940, the reference was to attendance in the month preceding

the census, and in the 1950 and subsequent censuses, the question referred to attendance in the

2 months preceding the census date.

Until the 1910 census, there were no instructions limiting the kinds of schools in which

enrollment was to be counted. Starting in 1910, the instructions indicated that attendance at

‘‘school, college, or any educational institution’’ was to be counted. In 1930 an instruction to

include ‘‘night school’’ was added. In the 1940 instructions, night school, extension school, or

vocational school were included only if the school was part of the regular school system.

Correspondence school work of any kind was excluded. In the 1950 instructions, the term

‘‘regular school’’ was introduced, and it was defined as schooling which ‘‘advances a person

towards an elementary or high school diploma or a college, university, or professional school

degree.’’ Vocational, trade, or business schools were excluded unless they were graded and

considered part of a regular school system. On-the-job training was excluded, as was nursery

school. Instruction by correspondence was excluded unless it was given by a regular school and

counted towards promotion. In 1960, the question used the term ‘‘regular school or college’’ and a

similar, though expanded, definition of ‘‘regular’’ was included in the instruction, which continued

to exclude nursery school. Because of the use of mailed questionnaires in the 1960 census, it was

the first census in which instructions were written for the respondent as well as enumerators. In

the 1970 census, the questionnaire used the phrase ‘‘regular school or college’’ and included

instructions to ‘‘count nursery school, kindergarten, and schooling that leads to an elementary

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U.S. Census Bureau, Census 2000
school certificate, high school diploma, or college degree.’’ Instructions in a separate document

specified that to be counted as regular school, nursery school must include instruction as an

important and integral phase of its program, and continued the exclusion of vocational, trade, and

business schools. The 1980 census question was very similar to the 1970 question, but the

separate instruction booklet did not require that nursery school include substantial instructional

content in order to be counted. Instructions included in the 1990 respondent instruction guide,

which was mailed with the census questionnaire, further specified that enrollment in a trade or

business school, company training, or tutoring were not to be included unless the course would

be accepted for credit at a regular elementary school, high school, or college. The instruction

guide defines a public school as ‘‘any school or college controlled and supported by a local,

county, state, or federal government.’’ Schools supported and controlled primarily by religious

organizations or other private groups were defined as private. In Census 2000 there was no

separate instruction guide. The questionnaire reference book used by enumerators and telephone

assistance staff contained these definitions for those who asked questions.

The age range for which enrollment data have been obtained and published has varied over the

censuses. Information on enrollment was recorded for people of all ages in the 1930 and 1940

censuses and 1970 through 2000 censuses; for people under 30 years old in 1950; and for

people 5 to 34 years old in 1960. Most of the published enrollment figures referred to people 5 to

20 years old in the 1930 census, 5 to 24 in 1940, 5 to 29 in 1950, 5 to 34 in 1970, and 3 years

old and over in 1980 and later years. This growth in the age group whose enrollment was

reported reflects increased interest in the number of children in preprimary schools and in the

number of older people attending colleges and universities. In the 1950 and subsequent

censuses, college students were enumerated where they lived while attending college; whereas, in

earlier censuses, they generally were enumerated at their parental homes. This change should not

affect the comparability of national figures on college enrollment since 1940; however, it may

affect the comparability over time of enrollment figures at subnational levels.

Type of school was first introduced in the 1960 census, where a separate question asked the

enrolled person whether he/she was in a ‘‘public’’ or ‘‘private’’ school. Beginning with the 1970

census, the type of school was incorporated into the response categories for the enrollment

question and the terms were changed to ‘‘public,’’ ‘‘parochial,’’ and ‘‘other private.’’ In the 1980

census, ‘‘private, church related’’ and ‘‘private, not church related’’ replaced ‘‘parochial’’ and ‘‘other

private.’’ In 1990 and 2000, ‘‘public’’ and ‘‘private’’ were used. Data on school enrollment also

were collected and published by other federal, state, and local government agencies. Where these

data were obtained from administrative records of school systems and institutions of higher

learning, they were only roughly comparable to data from population censuses and household

surveys because of differences in definitions and concepts, subject matter covered, time

references, and enumeration methods. At the local level, the difference between the location of

the institution and the residence of the student may affect the comparability of census and

administrative data. Differences between the boundaries of school districts and census

geographic units may also affect these comparisons.

SEX

The data on sex, which was asked of all people, were derived from answers to long-form

questionnaire Item 3 and short-form questionnaire Item 5. Individuals were asked to mark either

‘‘male’’ or ‘‘female’’ to indicate their sex. For most cases in which sex was not reported, it was

determined from the person’s given (i.e., first) name and household relationship. Otherwise, sex

was imputed according to the relationship to the householder and the age of the person. (For

more information on imputation, see ‘‘Accuracy of the Data.’’)

Sex ratio. A measure derived by dividing the total number of males by the total number of

females, and then multiplying by 100. This measure is rounded to the nearest tenth.

Comparability. A question on the sex of individuals has been included in every census. Census

2000 was the first time that first name was used for imputation of cases where sex was not

reported.

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U.S. Census Bureau, Census 2000
VETERAN STATUS

Data on veteran status, period of military service, and years of military service were derived from

answers to long-form questionnaire Item 20, which was asked of a sample of the population 15

years old and over.

Veteran status. The data on veteran status were derived from answers to long-form

questionnaire Item 20a. For census data products, a ‘‘civilian veteran’’ is a person 18 years old and

over who, at the time of the enumeration, had served on active duty in the U.S. Army, Navy, Air

Force, Marine Corps, or Coast Guard in the past (even for a short time), but was not then on active

duty, or who had served in the Merchant Marine during World War II. People who had served in the

National Guard or Military Reserves were classified as veterans only if they had ever been called or

ordered to active duty, not counting the 4 to 6 months for initial training or yearly summer camps.

All other civilians 18 years old and over were classified as nonveterans.

Period of military service. People who indicated in long-form questionnaire Item 20a that they

had served on active duty in the past (civilian veterans) or were on active duty at the time of

enumeration were asked to indicate in Question 20b the period or periods in which they served.

People who served in both wartime and peacetime periods are tabulated according to their

wartime service.

The responses to the question about period of service were edited for consistency and

reasonableness. The edit eliminated inconsistencies between reported period(s) of service and the

age of the person; it also removed reported combinations of periods containing unreasonable

gaps (for example, it did not accept a response that indicated that the person had served in World

War II and in the Vietnam era, but not in the Korean conflict).

Years of military service. People who indicated in long-form questionnaire Item 20a that they

had served on active duty in the past (civilian veterans) or were on active duty at the time of

enumeration were asked whether they had spent at least 2 years in total on active duty. The

question asked for accumulated service (i.e., total service), which is not necessarily the same as

continuous service. The years of military service question provides necessary information to

estimate the number of veterans that are eligible to receive specific benefits.

Limitation of the data. There may be a tendency for the following kinds of people to report

erroneously that they had served on active duty in the armed forces: (a) people who served in the

National Guard or Military Reserves, but were never called to active duty; (b) civilian employees or

volunteers for the USO, Red Cross, or the Department of Defense (or its predecessors, the

Department of War and the Department of the Navy); and (c) employees of the Merchant Marine or

Public Health Service. There is also the possibility that people may have misreported years of

service in long-form questionnaire Item 20c because of rounding errors (for example, people with

1 year 8 months of active duty military service may have mistakenly reported ‘‘2 years or more’’).

Comparability. Since census data on veterans are based on self-reported responses, they may

differ from data from other sources, such as administrative records of the Department of Defense

and/or the Department of Transportation. Census data also may differ from Department of

Veterans Affairs’ data on the benefits-eligible population, since criteria for determining eligibility

for veterans’ benefits differ from the rules for classifying veterans in the census.

The questions and concepts for veterans’ data for Census 2000 were essentially the same as

those used for the 1990 census, with the following exceptions: (1) the period of military service

categories were updated; (2) in an effort to reduce reporting error, the format of the years of

military service question was changed from an open-ended one (how many years has...served?) to

a closed-ended one (the respondent checked either of two boxes: less than 2 years/2 years or

more); and (3) persons with service during World War II in the Women’s Air Forces Service Pilots

organization were first counted as veterans in Census 2000, a development that should not

appreciably affect 1990-2000 comparability. Both the 2000 and 1990 veteran-status questions

represented expanded versions of the corresponding question in the 1980 census, which asked

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only whether the person was a veteran or not. The expansion was intended to clarify the

appropriate response for persons currently in the armed forces and for persons whose only

military service was for training in the Reserves or National Guard.

WORK STATUS IN 1999

The data on work status in 1999 were derived from answers to long-form questionnaire Item 30a,

which was asked of a sample of the population 15 years old and over. People 16 years old and

over who worked 1 or more weeks according to the criteria described below are classified as

‘‘Worked in 1999.’’ All other people 16 years old and over are classified as ‘‘Did not work in 1999.’’

Some earnings tabulations showing work status in 1999 include 15 year olds; these people, by

definition, are classified as ‘‘Did not work in 1999.’’

Weeks worked in 1999. The data on weeks worked in 1999 were derived from answers to

long-form questionnaire Item 30b, which was asked of people 15 years old and over who indicated

in long-form questionnaire Item 30a that they worked in 1999. The data were tabulated for people

16 years old and over and pertain to the number of weeks during 1999 in which a person did any

work for pay or profit (or took paid vacation or paid sick leave) or worked without pay on a family

farm or in a family business. Weeks on active duty in the armed forces also are included as weeks

worked.

Median weeks worked in 1999. Median weeks worked in 1999 divides the weeks worked

distribution into two equal parts: one-half of the cases falling below the median weeks worked

and one-half above the median. Median weeks worked in 1999 is computed on the basis of a

standard distribution (see the ‘‘Standard Distributions’’ section under ‘‘Derived Measures’’). Median

weeks worked is rounded to the nearest whole number. (For more information on medians, see

‘‘Derived Measures.’’)

Usual hours worked per week in 1999. The data on usual hours worked in 1999 were

derived from answers to long-form questionnaire Item 30c. This question was asked of people 15

years old and over who indicated that they worked in 1999 in Question 30a, and the data are

tabulated for people 16 years old and over. The respondent was asked to report the number of

hours usually worked during the weeks worked in 1999. If their hours varied considerably from

week to week during 1999, the respondent was asked to report an approximate average of the

hours worked each week. People 16 years old and over who reported that they usually worked 35

or more hours each week are classified as ‘‘Usually worked full time’’; people who reported that

they usually worked 1 to 34 hours each week are classified as ‘‘Usually worked part time.’’

Median usual hours worked per week in 1999. Median usual hours worked per week in

1999 divides the usual hours worked distribution into two equal parts: one-half of the cases

falling below the median usual hours worked and one-half above the median. Median usual hours

worked per week in 1999 is computed on the basis of a standard distribution (see the ‘‘Standard

Distributions’’ section under ‘‘Derived Measures’’). Median usual hours worked per week is

rounded to the nearest whole hour. (For more information on medians, see ‘‘Derived Measures.’’)

Aggregate usual hours worked per week in 1999. The aggregate usual hours worked per

week in 1999 is the number obtained by summing across the usual hours worked values of all

people who worked in 1999. (Note that there is one usual hours value for each worker, so the

number of items summed equals the number of workers.)

Mean usual hours worked per week in 1999. Mean usual hours worked per week is

calculated by dividing the aggregate number of usual hours worked per week worked in 1999 by

the total number of people who worked in 1999. Mean usual hours worked per week is rounded

to the nearest tenth. (For more information on means, see ‘‘Derived Measures.’’)

Full-time, year-round workers. Full-time, year-round workers consists of people 16 years old

and over who usually worked 35 hours or more per week for 50 to 52 weeks in 1999. The term

‘‘worker’’ in these concepts refers to people classified as ‘‘Worked in 1999’’ as defined above. The

term ‘‘worked’’ in these concepts means ‘‘worked one or more weeks in 1999’’ as defined above

under "Weeks Worked in 1999.’’

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U.S. Census Bureau, Census 2000
Limitation of the data. It is probable that data on the number of people who worked in 1999

and on the number of weeks worked are understated since there was probably a tendency for

respondents to forget intermittent or short periods of employment or to exclude weeks worked

without pay. There may also have been a tendency for people not to include weeks of paid

vacation among their weeks worked, which would result in an underestimate of the number of

people who worked ‘‘50 to 52 weeks.’’

Comparability. The data on weeks worked collected in Census 2000 are comparable with data

from the 1960 to 1990 censuses, but may not be entirely comparable with data from the 1940

and 1950 censuses. Starting with the 1960 census, two separate questions have been used to

obtain this information. The first identifies people with any work experience during the year and,

thus, indicates those people for whom the question about number of weeks worked applies. In

1940 and 1950, the questionnaires contained only a single question on number of weeks worked.

In 1970, people responded to the question on weeks worked by indicating one of six

weeks-worked intervals. In 1980 and 1990, people were asked to enter the specific number of

weeks they worked.

Worker. The terms ‘‘worker’’ and ‘‘work’’ appear in connection with several subjects: employment

status, journey-to-work, class of worker, and work status in 1999. Their meaning varies and,

therefore, should be determined by referring to the definition of the subject in which they appear.

When used in the concepts ‘‘Workers in Family,’’ ‘‘Workers in Family in 1999,’’ and ‘‘Full-Time,

Year-Round Workers,’’ the term ‘‘worker’’ relates to the meaning of work defined for the ‘‘Work

Status in 1999’’ subject.

YEAR OF ENTRY

The data on year of entry were derived from answers to long-form questionnaire Item 14, which

was asked of a sample of the population. All people born outside the United States were asked for

the year in which they came to live in the United States. This includes people born in Puerto Rico

and U.S. Island Areas (such as Guam); people born abroad of American parent(s); and the foreign

born. (For more information, see ‘‘Place of Birth’’ and ‘‘Citizenship Status.’’)

Limitation of the data. The census questions on nativity, citizenship status, and year of entry

were not designed to measure the degree of permanence of residence in the United States. The

phrase ‘‘to live’’ was used to obtain the year in which the person became a resident of the United

States. Although the respondent was directed to indicate the year he or she entered the country

‘‘to live,’’ it was difficult to be sure that respondents interpreted the phrase as intended.

Comparability. The year of entry questions for the 2000 decennial census and for the American

Community Survey (ACS) are identical. This question differs from the year of entry question in the

1990 decennial census. The 1990 decennial census item asked ‘‘When did this person come to the

United States to stay?’’ Moreover, the year of entry question in the 1990 census provided

respondents with a fixed number of response categories, while the year of entry question in both

the 2000 decennial census and the ACS collect year of entry through a write-in space.

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U.S. Census Bureau, Census 2000
HOUSING CHARACTERISTICS

Contact List: To obtain additional information on these and other Census 2000 subjects, see

the list of Census 2000 Contacts on the Internet at http://www.census.gov/contacts/www/

c-census2000.html.

Puerto Rico: Please note that for Census 2000, the definitions below apply to both the

United States and Puerto Rico, except where noted. For 1990 and earlier censuses, references

on comparability refer only to the United States. Please refer to the appropriate technical

documentation for Puerto Rico for comparability statements pertaining to 1990 and earlier

censuses.

LIVING QUARTERS

Living quarters are either housing units or group quarters. Living quarters are usually found in

structures intended for residential use, but also may be found in structures intended for

nonresidential use as well as in places such as tents, vans, and emergency and transitional

shelters.

Housing unit. A housing unit may be a house, an apartment, a mobile home, a group of rooms,

or a single room that is occupied (or, if vacant, is intended for occupancy) as separate living

quarters. Separate living quarters are those in which the occupants live separately from any other

individuals in the building and which have direct access from outside the building or through a

common hall. For vacant units, the criteria of separateness and direct access are applied to the

intended occupants whenever possible. If that information cannot be obtained, the criteria are

applied to the previous occupants.

Both occupied and vacant housing units are included in the housing unit inventory. Boats,

recreational vehicles (RVs), vans, tents, and the like are housing units only if they are occupied as

someone’s usual place of residence. Vacant mobile homes are included provided they are intended

for occupancy on the site where they stand. Vacant mobile homes on dealers’ lots, at the factory,

or in storage yards are excluded from the housing inventory. Also excluded from the housing

inventory are quarters being used entirely for nonresidential purposes, such as a store or an

office, or quarters used for the storage of business supplies or inventory, machinery, or

agricultural products.

Occupied housing unit. A housing unit is classified as occupied if it is the usual place of

residence of the person or group of people living in it at the time of enumeration, or if the

occupants are only temporarily absent; that is, away on vacation or a business trip. The occupants

may be a single family, one person living alone, two or more families living together, or any other

group of related or unrelated people who share living quarters.

Occupied rooms or suites of rooms in hotels, motels, and similar places are classified as housing

units only when occupied by permanent residents; that is, people who consider the hotel as their

usual place of residence or have no usual place of residence elsewhere. If any of the occupants in

rooming or boarding houses, congregate housing, or continuing care facilities live separately from

others in the building and have direct access, their quarters are classified as separate housing

units. The living quarters occupied by staff personnel within any group quarters are separate

housing units if they satisfy the housing unit criteria of separateness and direct access; otherwise,

they are considered group quarters.

Vacant housing unit. A housing unit is vacant if no one is living in it at the time of

enumeration, unless its occupants are only temporarily absent. Units temporarily occupied at the

time of enumeration entirely by people who have a usual residence elsewhere are also classified

as vacant. New units not yet occupied are classified as vacant housing units if construction has

reached a point where all exterior windows and doors are installed and final usable floors are in

place. Vacant units are excluded from the housing inventory if they are open to the elements; that

is, the roof, walls, windows, and/or doors no longer protect the interior from the elements. Also

excluded are vacant units with a sign that they are condemned or they are to be demolished.

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U.S. Census Bureau, Census 2000
Comparability. The first Census of Housing in 1940 established the ‘‘dwelling unit’’ concept.

Although the term became ‘‘housing unit’’ and the definition was modified slightly in succeeding

censuses, the housing unit definition remained essentially comparable between 1940 and 1990.

Since 1990, two changes have been made to the housing unit definition.

The first change eliminated the concept of ‘‘eating separately.’’ The elimination of the eating

criterion makes the housing unit definition more comparable to the United Nations’ definition of a

housing unit that stresses the entire concept of separateness rather than the specific ‘‘eating’’

element. Although the ‘‘eating separately’’ criterion was previously included in the definition of a

housing unit, the data collected did not actually allow one to distinguish whether the occupants

ate separately from any other people in the building. (Questions that asked households about

their eating arrangements have not been included in the census since 1970.) Therefore, the

current definition better reflects the information that is used in the determination of a housing

unit.

The second change for Census 2000 eliminated the ‘‘number of nonrelatives’’ criterion; that is,

‘‘nine or more people unrelated to the householder’’ which converted housing units to group

quarters. This change was prompted by the following considerations: (1) there were relatively few

such conversions in 1990; (2) household relationship and housing data were lost by converting

these housing units to group quarters; and (3) there was no empirical support for establishing a

particular number of nonrelatives as a threshold for these conversions.

In 1960, 1970, and 1980, vacant rooms in hotels, motels, and other similar places where 75

percent or more of the accommodations were occupied by permanent residents were counted as

part of the housing inventory. We intended to classify these vacant units as housing units in the

1990 census. However, an evaluation of the data collection procedures prior to the 1990 census

indicated that the concept of permanency was difficult and confusing for enumerators to apply

correctly. Consequently, in the 1990 census, vacant rooms in hotels, motels, and similar places

were not counted as housing units. In Census 2000, we continued the procedure adopted in 1990.

ACREAGE (CUERDA)

The data on acreage were obtained from answers to long-form questionnaire Item 44b. This

question was asked on a sample basis at occupied and vacant 1-family houses and mobile homes.

The data for vacant units are obtained by asking a neighbor, real estate agent, building manager,

or anyone else who had knowledge of the vacant unit in question.

Question 44b determines a range of acres (cuerdas) on which the house or mobile home is

located. A major purpose for this item is to exclude owner-occupied and renter-occupied 1-family

houses on 10 or more acres (cuerdas) from the specified owner- and renter-occupied universes for

value and rent tabulations. Another major purpose for this item, in conjunction with long-form

questionnaire Item 44c on agricultural sales, is to identify farm units. (For more information, see

‘‘Farm Residence.’’) The land may consist of more than one tract or plot. These tracts or plots are

usually adjoining; however, they may be separated by a road, a creek, another piece of land, etc.

Comparability. Question 44b replaced two items on acreage that were asked in 1990, ‘‘Is this

house on 10 or more acres (cuerdas)’’ and ‘‘Is this house on less than 1 acre (cuerda).’’ No

information was lost by combining these items. In Census 2000, this question was asked on a

sample basis. In previous decennial censuses, the first acreage question was asked on a

100-percent basis and the second one was asked on a sample basis.

AGRICULTURAL SALES

Data on the sales of agricultural crops were obtained from answers to long-form questionnaire

Item 44c, which was asked on a sample basis at occupied 1-family houses and mobile homes

located on lots of 1 acre or more. Data for this item exclude units on lots of less than 1 acre, units

located in structures containing two or more units, and all vacant units. This item refers to the

total amount (before taxes and expenses) received in 1999 from the sale of crops, vegetables,

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U.S. Census Bureau, Census 2000
fruits, nuts, livestock and livestock products, and nursery and forest products produced on ‘‘this

property.’’ Respondents new to a unit were to estimate total agricultural sales in 1999 even if

some portion of the sales had been made by previous occupants of the unit.

This item is used mainly to classify housing units as farm or nonfarm residences, not to provide

detailed information on the sale of agricultural products. Detailed information on the sale of

agricultural products is provided by the Census of Agriculture (1997 Census of Agriculture, Vol. 1,

geographic area series conducted by the National Agriculture Statistics Services, U.S. Department

of Agriculture). (For more information, see ‘‘Farm Residence.’’)

BEDROOMS

The data on bedrooms were obtained from answers to long-form questionnaire Item 38, which

was asked at both occupied and vacant housing units. This item was asked on a sample basis.

The number of bedrooms is the count of rooms designed to be used as bedrooms; that is, the

number of rooms that would be listed as bedrooms if the house, apartment, or mobile home were

on the market for sale or for rent. Included are all rooms intended to be used as bedrooms even if

they currently are being used for some other purpose. A housing unit consisting of only one

room, such as a one-room efficiency apartment, is classified, by definition, as having no bedroom.

Comparability. Data on bedrooms have been collected in every census since 1960. In 1970 and

1980, data for bedrooms were shown only for year-round units. Year-round housing units are all

occupied units plus vacant units available or intended for year round use. Vacant units intended

for seasonal occupancy and migrant laborers are excluded. Since 1990, these data are shown for

all housing units. Prior to 1990, a room was defined as a bedroom if it was used mainly for

sleeping even if it also was used for other purposes. Rooms that were designed to be used as

bedrooms but used mainly for other purposes were not classified as bedrooms.

BUSINESS ON PROPERTY

The data for business on property were obtained from answers to long-form questionnaire Item

44a, which was asked on a sample basis at occupied and vacant 1-family houses and mobile

homes. This question is used to exclude owner-occupied, 1-family houses with business or

medical offices on the property from certain statistics on financial characteristics.

A business must be easily recognizable from the outside. It usually will have a separate outside

entrance and have the appearance of a business, such as a grocery store, restaurant, or barber

shop. It may be either attached to the house or mobile home or be located elsewhere on the

property. Those housing units in which a room is used for business or professional purposes and

have no recognizable alterations to the outside are not considered to have a business. Medical

offices are considered businesses for tabulation purposes.

Comparability. Data on business on property have been collected since 1940. In Census 2000,

this question was asked on a sample basis. In previous decennial censuses, the question on

business on property was asked on a 100-percent basis.

CONDOMINIUM FEE

The data on condominium fee were obtained from answers to long-form questionnaire Item 52,

which was asked on a sample basis at owner-occupied condominiums. A condominium fee

normally is charged monthly to the owners of individual condominium units by the condominium

owners’ association to cover operating, maintenance, administrative, and improvement costs of

the common property (grounds, halls, lobby, parking areas, laundry rooms, swimming pool, etc.).

The costs for utilities and/or fuels may be included in the condominium fee if the units do not

have separate meters.

The data from this item were added to payments for mortgages (both first, second, home equity

loans, and other junior mortgages); real estate taxes; fire, hazard, and flood insurance payments;

and utilities and fuels to derive ‘‘Selected Monthly Owner Costs’’ and ‘‘Selected Monthly Owner

Costs as a Percentage of Household Income in 1999’’ for condominium owners.

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U.S. Census Bureau, Census 2000
Comparability. Data on condominium fees were collected for the first time in 1990. In previous

decennial censuses, a question on whether a unit was part of a condominium also was asked. The

question on condominium status was not asked in Census 2000.

CONTRACT RENT

The data on contract rent (also referred to as ‘‘rent asked’’ for vacant units) were obtained from

answers to long-form questionnaire Item 46, which was asked on a sample basis at occupied

housing units that were rented for cash rent and vacant housing units that were for rent at the

time of enumeration.

Housing units that are renter occupied without payment of cash rent are shown separately as ‘‘No

cash rent’’ in census data products. The unit may be owned by friends or relatives who live

elsewhere and who allow occupancy without charge. Rent-free houses or apartments may be

provided to compensate caretakers, ministers, tenant farmers, sharecroppers, or others.

Contract rent is the monthly rent agreed to or contracted for, regardless of any furnishings,

utilities, fees, meals, or services that may be included. For vacant units, it is the monthly rent

asked for the rental unit at the time of enumeration.

If the contract rent includes rent for a business unit or for living quarters occupied by another

household, only that part of the rent estimated to be for the respondent’s unit was included.

Excluded was any rent paid for additional units or for business premises.

If a renter pays rent to the owner of a condominium or cooperative, and the condominium fee or

cooperative carrying charge also is paid by the renter to the owner, the condominium fee or

carrying charge was included as rent.

If a renter receives payments from lodgers or roomers who are listed as members of the

household, the rent without deduction for any payments received from the lodgers or roomers

was to be reported. The respondent was to report the rent agreed to or contracted for even if paid

by someone else such as friends or relatives living elsewhere, a church or welfare agency, or the

government through subsidies or vouchers.

In some tabulations, contract rent is presented for all renter-occupied housing units, as well as

specified renter-occupied and vacant-for-rent units. (For more information on rent, see ‘‘Gross

Rent.’’)

Specified renter-occupied and specified vacant-for-rent units. In some tabulations,

contract rent is presented for specified renter-occupied and vacant-for-rent units. Specified

renter-occupied and specified vacant-for-rent units exclude 1-family houses on 10 acres or more.

Median and quartile contract rent. The median divides the rent distribution into two equal

parts: one-half of the cases falling below the median contract rent and one-half above the median.

Quartiles divide the rent distribution into four equal parts. Median and quartile contract rent are

computed on the basis of a standard distribution (see the ‘‘Standard Distributions’’ section under

‘‘Derived Measures’’). In computing median and quartile contract rent, units reported as ‘‘No cash

rent’’ are excluded. Median and quartile rent calculations are rounded to the nearest whole dollar.

Upper and lower quartiles can be used to note large rent differences among various geographic

areas. (For more information on medians and quartiles, see ‘‘Derived Measures.’’)

Aggregate contract rent. Aggregate contract rent is calculated by adding all of the contract

rents for occupied housing units in an area. Aggregate contract rent is subject to rounding, which

means that all cells in a matrix are rounded to the nearest hundred dollars. (For more information,

see ‘‘Aggregate’’ under ‘‘Derived Measures.’’)

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Aggregate rent asked. Aggregate rent asked is calculated by adding all of the rents for

vacant-for-rent housing units in an area. Aggregate rent asked is subject to rounding, which

means that all cells in a matrix are rounded to the nearest hundred dollars. (For more information,

see ‘‘Aggregate’’ under ‘‘Derived Measures.’’)

Limitation of the data. In previous censuses, including 1990, contract rent for vacant units had

high allocation rates (about 35 percent).

Comparability. Data on this item have been collected since 1930. In Census 2000, this question

was asked on a sample basis. In previous decennial censuses, the question on contract rent was

asked on a 100-percent basis.

In Census 2000, respondents wrote in the contract rent amount. In previous decennial censuses,

respondents marked the appropriate contract rent box shown as ranges on the questionnaire.

FARM RESIDENCE

The data on farm residence were obtained on a sample basis from answers to long-form

questionnaire Items 44b and 44c. An occupied 1-family house or mobile home is classified as a

farm residence if: (1) the housing unit is located on a property of 1 acre or more, and (2) at least

$1,000 worth of agricultural products were sold from the property in 1999. Group quarters and

housing units that are in multiunit buildings or are vacant are not included as farm residences.

The farm population consists of people in households living in farm residences. Some people who

are counted on a property classified as a farm (including, in some cases, farm workers) are

excluded from the farm population. Such people include those who reside in multiunit buildings

or group quarters.

Comparability. These are the same criteria that were used to define a farm residence in 1980

and 1990. In 1960 and 1970, a farm was defined as a place of 10 or more acres with at least $50

worth of agricultural sales or a place of less than 10 acres with at least $250 worth of agricultural

sales. Earlier censuses used other definitions. The definition of a farm residence differs from the

definition of a farm in the Census of Agriculture (1992 Census of Agriculture, Vol. 1, geographic

area series conducted by the Department of Agriculture).

GROSS RENT

The data on gross rent were obtained from answers to long-form questionnaire Items 45a-d, which

were asked on a sample basis. Gross rent is the contract rent plus the estimated average monthly

cost of utilities (electricity, gas, water and sewer) and fuels (oil, coal, kerosene, wood, etc.) if these

are paid by the renter (or paid for the renter by someone else). Gross rent is intended to eliminate

differentials that result from varying practices with respect to the inclusion of utilities and fuels as

part of the rental payment. The estimated costs of utilities and fuels are reported on an annual

basis but are converted to monthly figures for the tabulations. Renter units occupied without

payment of cash rent are shown separately as ‘‘No cash rent’’ in the tabulations.

Median gross rent. Median gross rent divides the gross rent distribution into two equal parts:

one-half of the cases falling below the median gross rent and one-half above the median. Median

gross rent is computed on the basis of a standard distribution (see the ‘‘Standard Distributions’’

section under ‘‘Derived Measures’’). Median gross rent is rounded to the nearest whole dollar. (For

more information on medians, see ‘‘Derived Measures.’’)

Aggregate gross rent. Aggregate gross rent is calculated by adding together all of the gross

rents for occupied housing units in an area. Aggregate gross rent is subject to rounding, which

means that all cells in a matrix are rounded to the nearest hundred dollars. (For more information,

see ‘‘Aggregate’’ under ‘‘Derived Measures.’’)

Comparability. Data on gross rent have been collected since 1940 for renter-occupied housing

units. In Census 2000, questionnaire Item 45c asked the annual costs for water and sewer in an

effort to obtain all costs associated with water usage. In 1990, the question asked the yearly costs

for water only.

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GROSS RENT AS A PERCENTAGE OF HOUSEHOLD INCOME IN 1999

Gross rent as a percentage of household income in 1999 is a computed ratio of monthly gross

rent to monthly household income (total household income in 1999 divided by 12). The ratio is

computed separately for each unit and is rounded to the nearest tenth. Units for which no cash

rent is paid and units occupied by households that reported no income or a net loss in 1999

comprise the category ‘‘Not computed.’’

Median gross rent as a percentage of household income in 1999. This measure divides

the gross rent as a percentage of household income distribution into two equal parts, one-half of

the cases falling below the median gross rent as a percentage of household income and one-half

above the median. Median gross rent as a percentage of household income is computed on the

basis of a standard distribution (see the ‘‘Standard Distributions’’ section under ‘‘Derived

Measures’’). Median gross rent as a percentage of household income is rounded to the nearest

tenth. (For more information on medians, see ‘‘Derived Measures.’’)

HOUSE HEATING FUEL

The data on house heating fuel were obtained from answers to long-form questionnaire Item 42,

which was asked on a sample basis at occupied housing units. The data show the type of fuel

used most often to heat the house, apartment, or mobile home.

Utility gas. This category includes gas piped through underground pipes from a central system

to serve the neighborhood.

Bottled, tank, or LP gas. This category includes liquid propane gas stored in bottles or tanks

which are refilled or exchanged when empty.

Electricity. Electricity is generally supplied by means of above or underground electric power

lines.

Fuel oil, kerosene, etc. This category includes fuel oil, kerosene, gasoline, alcohol, and other

combustible liquids.

Coal or coke. This category includes coal or coke that is usually delivered by truck.

Wood. This category includes purchased wood, wood cut by household members on their

property or elsewhere, driftwood, sawmill or construction scraps, or the like.

Solar energy. This category includes heat provided by sunlight that is collected, stored, and

actively distributed to most of the rooms.

Other fuel. This category includes all other fuels not specified elsewhere.

No fuel used. This category includes units that do not use any fuel or that do not have heating

equipment.

Comparability. Data on house heating fuel have been collected since 1940.

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HOUSEHOLD SIZE

This item is based on the count of people in occupied housing units. All people occupying the

housing unit are counted, including the householder, occupants related to the householder, and

lodgers, roomers, boarders, and so forth.

For products based on population data, ‘‘household size’’ is the number of people in households.

The sample count of ‘‘occupied housing units’’ may not match the sample count of ‘‘households.’’

Consequently, the household size measures derived from housing and population-based data also

may differ.

Average household size of occupied unit. A measure obtained by dividing the number of

people living in occupied housing units by the number of occupied housing units. This measure is

rounded to the nearest hundredth.

Average household size of owner-occupied unit. A measure obtained by dividing the

number of people living in owner-occupied housing units by the total number of owner-occupied

housing units. This measure is rounded to the nearest hundredth.

Average household size of renter-occupied unit. A measure obtained by dividing the

number of people living in renter-occupied housing units by the total number of renter-occupied

housing units. This measure is rounded to the nearest hundredth.

INSURANCE FOR FIRE, HAZARD, AND FLOOD

The data on fire, hazard, and flood insurance were obtained from answers to long-form

questionnaire Item 50, which was asked on a sample basis at owner-occupied housing units. The

statistics for this item refer to the annual premium for fire, hazard, and flood insurance on the

property (land and buildings); that is, policies that protect the property and its contents against

loss due to damage by fire, lightning, winds, hail, flood, explosion, and so on.

Liability policies are included only if they are paid with the fire, hazard, and flood insurance

premiums and the amounts for fire, hazard, and flood cannot be separated. Premiums are

reported even if they have not been paid or are paid by someone outside the household. When

premiums are paid on other than an annual basis, the premiums are converted to an annual basis.

The payment for fire, hazard, and flood insurance is added to payments for real estate taxes,

utilities, fuels, and mortgages (both first, second, home equity loans, and other junior mortgages)

to derive ‘‘Selected Monthly Owner Costs’’ and ‘‘Selected Monthly Owner Costs as a Percentage of

Household Income in 1999.’’

A separate long-form questionnaire item (47d) determines whether insurance premiums are

included in the mortgage payment to the lender(s). This makes it possible to avoid counting these

premiums twice in the computations.

Comparability. Data on payment for fire and hazard insurance were collected for the first time

in 1980. Flood insurance was not specifically mentioned in the wording of the question in 1980.

In 1990, the question was modified to include flood insurance. It was asked at 1family,

owner-occupied houses; mobile homes; and condominiums. In Census 2000, the question was

asked at all owner-occupied housing units.

KITCHEN FACILITIES

Data on kitchen facilities were obtained from answers to long-form questionnaire Item 40, which

was asked at both occupied and vacant housing units. This item was asked on a sample basis. A

unit has complete kitchen facilities when it has all of the following: (1) a sink with piped water; (2)

a range, or cook top and oven; and (3) a refrigerator. All kitchen facilities must be located in the

house, apartment, or mobile home, but they need not be in the same room. A housing unit having

only a microwave or portable heating equipment, such as a hot plate or camping stove, should

not be considered as having complete kitchen facilities. An ice box is not considered to be a

refrigerator.

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Comparability. Data on complete kitchen facilities were collected for the first time in 1970.

Earlier censuses collected data on individual components, such as kitchen sink and type of

refrigeration equipment. In 1970 and 1980, data for kitchen facilities were shown only for

year-round units. Since 1990, data are shown for all housing units.

Prior to Census 2000, the kitchen facilities only had to be located in the structure, not in the unit.

For example, if an apartment did not have complete kitchen facilities, but these facilities were

present elsewhere in the building, the item would have been marked ‘‘yes’’ prior to Census 2000,

but ‘‘no’’ in Census 2000.

MEALS INCLUDED IN RENT

The data on meals included in the rent were obtained from answers to long-form questionnaire

Item 46b, which was asked on a sample basis at occupied housing units that were rented for cash

rent and vacant housing units that were for rent at the time of enumeration.

The statistics on meals included in rent are presented for specified renter-occupied and specified

vacant-for-rent units. Specified renter-occupied and specified vacant-for-rent units exclude 1-family

houses on ten or more acres. (For more information, see ‘‘Contract Rent.’’) This was a new item in

1990 used to measure ‘‘congregate’’ housing, which generally is considered to be housing units

where the rent includes meals and other services, such as transportation to shopping and

recreation.

Comparability. In Census 2000, this question was asked on a sample basis. In 1990, the

question was asked on a 100-percent basis.

MOBILE HOME COSTS

The data on mobile home costs were obtained from answers to long-form questionnaire Items 53a

and 53b, which were asked on a sample basis at owner-occupied mobile homes. Questionnaire

Item 53a asks if there is an installment loan or contract on the mobile home. This is a payment

plan for mobile homes similar to buying a car or appliance. If the mobile home is not permanently

attached to the land it may not be considered real estate and thus will not have a mortgage. With

an installment loan, the buyer pays a specified amount per month for a specified number of

months. The mobile home is the collateral for the loan, similar to a car loan.

The data derived from Question 53b include the total annual costs for installment loan payments,

personal property taxes, land or site rent, registration fees, and license fees on owner-occupied

mobile homes. The instructions are to exclude real estate taxes already reported in long-form

questionnaire Item 49 or personal property taxes in arrears from previous years.

Costs are estimated as closely as possible when exact costs are not known. Amounts are the total

for an entire 12-month billing period, even if they are paid by someone outside the household or

remain unpaid.

The data from this item are added to payments for mortgages; real estate taxes; fire, hazard, and

flood insurance payments; utilities; and fuels to derive selected monthly owner costs for mobile

home owners.

Comparability. Data for mobile home costs were collected for the first time in 1990. In Census

2000, a question was added to determine if there was an installment loan or contract on the

mobile home.

MORTGAGE PAYMENT

The data on mortgage payment were obtained from answers to long-form questionnaire Item 47b,

which was asked on a sample basis at owner-occupied housing units. Questionnaire Item 47b

provides the regular monthly amount required to be paid to the lender for the first mortgage

(deed of trust, contract to purchase, or similar debt) on the property. Amounts are included even if

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the payments are delinquent or paid by someone else. The amounts reported are included in the

computation of ‘‘Selected Monthly Owner Costs’’ and ‘‘Selected Monthly Owner Costs as a

Percentage of Household Income in 1999’’ for units with a mortgage.

The amounts reported include everything paid to the lender including principal and interest

payments; real estate taxes; fire, hazard, and flood insurance payments; and mortgage insurance

premiums. Separate questions determine whether real estate taxes and fire, hazard, and flood

insurance payments are included in the mortgage payment to the lender. This makes it possible to

avoid counting these components twice in the computation of ‘‘Selected Monthly Owner Costs.’’

Comparability. Information on mortgage payment was collected for the first time in 1980. In

1990, the questions on monthly mortgage payments were asked at owner-occupied, 1-family

houses; mobile homes; and condominiums. In Census 2000, the question was asked at all

owner-occupied housing units.

The 1980 census obtained total regular monthly mortgage payments, including payments on

second or other junior mortgages, from a single question. Beginning in 1990, two questions were

asked; one for regular monthly payments on first mortgages, and one for regular monthly

payments on second mortgages, home equity loans, and other junior mortgages. (For more

information, see ‘‘Second or Junior Mortgage or Home Equity Loan.’’)

MORTGAGE STATUS

The data on mortgage status were obtained from answers to long-form questionnaire Items 47a

and 48a, which were asked on a sample basis at owner-occupied housing units. ‘‘Mortgage’’ refers

to all forms of debt where the property is pledged as security for repayment of the debt, including

deeds of trust; trust deeds; contracts to purchase; land contracts; junior mortgages; and home

equity loans.

A mortgage is considered a first mortgage if it has prior claim over any other mortgage or if it is

the only mortgage on the property. All other mortgages, (second, third, etc.) are considered junior

mortgages. A home equity loan is generally a junior mortgage. If no first mortgage is reported,

but a junior mortgage or home equity loan is reported, then the loan is considered a first

mortgage.

In most census data products, the tabulations for ‘‘Selected Monthly Owner Costs’’ and ‘‘Selected

Monthly Owner Costs as a Percentage of Household Income in 1999’’ usually are shown separately

for units ‘‘with a mortgage’’ and for units ‘‘not mortgaged.’’ The category ‘‘not mortgaged’’ is

comprised of housing units owned free and clear of debt.

Comparability. A question on mortgage status was included in the 1940 and 1950 censuses,

but not in the 1960 and 1970 censuses. The item was reinstated in 1980 along with a separate

question dealing with the existence of second or junior mortgages. In 1990, the mortgage status

questions were asked of 1-family, owner-occupied housing units; mobile homes; and

condominiums. In 1990, the answer categories for the second and junior mortgage question did

not distinguish between a second mortgage and a home equity loan.

In Census 2000, the questions were asked at all owner-occupied housing units. In addition, the

answer categories distinguished between a second mortgage and a home equity loan.

OCCUPANTS PER ROOM

Occupants per room is obtained by dividing the number of people in each occupied housing unit

by the number of rooms in the unit. The figures show the number of occupied housing units

having the specified ratio of people per room. Although the Census Bureau has no official

definition of crowded units, many users consider units with more than one occupant per room to

be crowded. Occupants per room is rounded to the nearest hundredth. This item was derived

from questions asked on a sample basis.

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Mean occupants per room. This is computed by dividing occupants in housing units by the

aggregate number of rooms. This is intended to provide a measure of utilization or crowding. A

higher mean may indicate a greater degree of utilization or crowding; a low mean may indicate

underutilization. Mean occupants per room is rounded to the nearest hundredth. (For more

information on means, see ‘‘Derived Measures.’’)

PLUMBING FACILITIES

The data on plumbing facilities were obtained from answers to long-form questionnaire Item 39,

which was asked on a sample basis at both occupied and vacant housing units. Complete

plumbing facilities include: (1) hot and cold piped water, (2) a flush toilet, and (3) a bathtub or

shower. All three facilities must be located inside the house, apartment, or mobile home, but not

necessarily in the same room. Housing units are classified as lacking complete plumbing facilities

when any of the three facilities is not present.

Comparability. The 1990 census and Census 2000 data on complete plumbing facilities are not

strictly comparable with the 1980 data. Before 1990, complete plumbing facilities were defined as

hot and cold piped water, a bathtub or shower, and a flush toilet in the housing unit for the

exclusive use of the residents of that unit. In 1990, the Census Bureau dropped the requirement of

exclusive use from the definition of complete plumbing facilities. Of the 2.3 million year-round

housing units classified in 1980 as lacking complete plumbing for exclusive use, approximately

25 percent of these units had complete plumbing but the facilities also were used by members of

another household. From 1940 to 1970, separate and more detailed questions were asked on

piped water, bathing, and toilet facilities. Prior to 1990, questions on plumbing facilities were

asked on a 100-percent basis. In 1990 and Census 2000, they were asked on a sample basis.

POPULATION IN OCCUPIED UNITS

The data shown for population in occupied units is the total population minus any people living in

group quarters. This item is based on the 100-percent count of people in occupied housing units.

All people occupying the housing unit are counted, including the householder, occupants related

to the householder, and lodgers, roomers, boarders, and so forth. (For more information, see

‘‘Living Quarters.’’)

POVERTY STATUS OF HOUSEHOLDS IN 1999

The data on poverty status of households were derived from answers to the income questions.

The income items were asked on a sample basis.

Since poverty is defined at the family level and not the household level, the poverty status of the

household is determined by the poverty status of the householder. Households are classified as

poor when the total 1999 income of the householder’s family is below the appropriate poverty

threshold. (For nonfamily householders, their own income is compared with the appropriate

threshold.) The income of people living in the household who are unrelated to the householder is

not considered when determining the poverty status of a household, nor does their presence

affect the family size in determining the appropriate threshold. The poverty thresholds vary

depending upon three criteria: size of family, number of children, and, for 1- and 2-person

families, age of the householder. (For more information, see ‘‘Poverty Status in 1999’’ and ‘‘Income

in 1999’’ under Population Characteristics.)

REAL ESTATE TAXES

The data on real estate taxes were obtained from answers to long-form questionnaire Item 49,

which was asked on a sample basis at owner-occupied housing units. The statistics from this

question refer to the total amount of all real estate taxes on the entire property (land and

buildings) payable in 1999 to all taxing jurisdictions, including special assessments, school taxes,

county taxes, and so forth.

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Real estate taxes include state, local, and all other real estate taxes even if delinquent, unpaid, or

paid by someone who is not a member of the household. However, taxes due from prior years are

not included. If taxes are not paid on a yearly basis, the payments are converted to a yearly basis.

The payment for real estate taxes is added to payments for fire, hazard, and flood insurance;

utilities and fuels; and mortgages (both first and second, home equity loans, and other junior

mortgages) to derive ‘‘Selected Monthly Owner Costs’’ and ‘‘Selected Monthly Owner Costs as a

Percentage of Household Income in 1999.’’ A separate question (47c) determines whether real

estate taxes are included in the mortgage payment to the lender(s). This makes it possible to

avoid counting taxes twice in the computations.

Median real estate taxes. Median real estate taxes divides the real estate taxes distribution

into two equal parts: one-half of the cases falling below the median real estate taxes and one-half

above the median. Median real estate taxes is computed on the basis of a standard distribution

(see the ‘‘Standard Distributions’’ section under ‘‘Derived Measures’’). Median real estate taxes is

rounded to the nearest whole dollar. (For more information on medians, see ‘‘Derived Measures.’’)

Aggregate real estate taxes. Aggregate real estate taxes are calculated by adding together all

of the real estate taxes for occupied housing units in an area. Aggregate real estate taxes is

subject to rounding, which means that all cells in a matrix are rounded to the nearest hundred

dollars. (For more information, see ‘‘Aggregate’’ under ‘‘Derived Measures.’’)

Comparability. Data for real estate taxes were collected for the first time in 1980. In 1990, the

question was asked at 1-family, owner-occupied houses; mobile homes; and condominiums. In

Census 2000, the question was asked at all owner-occupied housing units.

ROOMS

The data on rooms were obtained from answers to long-form questionnaire Item 37, which was

asked on a sample basis at both occupied and vacant housing units. The statistics on rooms are

presented in terms of the number of housing units with a specified number of rooms. The intent

of this question is to count the number of whole rooms used for living purposes.

For each unit, rooms include living rooms, dining rooms, kitchens, bedrooms, finished recreation

rooms, enclosed porches suitable for year-round use, and lodgers’ rooms. Excluded are strip or

pullman kitchens, bathrooms, open porches, balconies, halls or foyers, half-rooms, utility rooms,

unfinished attics or basements, or other unfinished space used for storage. A partially divided

room is a separate room only if there is a partition from floor to ceiling, but not if the partition

consists solely of shelves or cabinets.

Median rooms. This measure divides the rooms distribution into two equal parts, one-half of

the cases falling below the median number of rooms and one-half above the median. Median

rooms is computed on the basis of a standard distribution (see the ‘‘Standard Distributions’’

section under ‘‘Derived Measures’’). In computing median rooms, the whole number is used as the

midpoint of the interval; thus, the category ‘‘3 rooms’’ is treated as an interval ranging from 2.5 to

3.5 rooms. Median rooms is rounded to the nearest tenth. (For more information on medians, see

‘‘Derived Measures.’’)

Aggregate rooms. To calculate aggregate rooms, a value of ‘‘10’’ is assigned to rooms for units

falling within the terminal category, ‘‘9 or more.’’ (For more information on aggregates, see

‘‘Derived Measures.’’)

Comparability. Data on rooms have been collected since 1940. In 1970 and 1980, these data

were shown only for year-round housing units. Since 1990, these data are shown for all housing

units. In Census 2000, this question was asked on a sample basis. In previous decennial censuses,

the question on rooms was asked on a 100 percent basis.

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SECOND OR JUNIOR MORTGAGE PAYMENT OR HOME EQUITY LOAN

The data on second mortgage or home equity loan payments were obtained from answers to

long-form questionnaire Items 48a and 48b, which were asked on a sample basis at

owner-occupied housing units. Question 48a asks whether a second or junior mortgage or a home

equity loan exists on the property. Question 48b asks for the regular monthly amount required to

be paid to the lender on all second or junior mortgages and home equity loans. Amounts are

included even if the payments are delinquent or paid by someone else. The amounts reported are

included in the computation of ‘‘Selected Monthly Owner Costs’’ and ‘‘Selected Monthly Owner

Costs as a Percentage of Household Income in 1999’’ for units with a mortgage.

All mortgages other than first mortgages (for example, second, third, etc.) are classified as

‘‘junior’’ mortgages. A second mortgage is a junior mortgage that gives the lender a claim against

the property that is second to the claim of the holder of the first mortgage. Any other junior

mortgage(s) would be subordinate to the second mortgage. A home equity loan is a line of credit

available to the borrower that is secured by real estate. It may be placed on a property that

already has a first or second mortgage, or it may be placed on a property that is owned free and

clear.

If the respondents answered that no first mortgage existed, but a second mortgage or a home

equity loan did, a computer edit assigned the unit a first mortgage and made the first mortgage

monthly payment the amount reported in the second mortgage. The second mortgage/home

equity loan data were then made ‘‘No’’ in Question 48a and blank in Question 48b.

Comparability. The 1980 census obtained total regular monthly mortgage payments, including

payments on second or junior mortgages, from one single question. Beginning in 1990, two

questions were used: one for regular monthly payments on first mortgages, and one for regular

monthly payments on second or junior mortgages and home equity loans.

The 1990 census did not allow respondents to distinguish between a second mortgage and a

home equity loan. In Census 2000, Question 48a allows the respondent to choose multiple

answers, thereby identifying the specific type of second mortgage. In 1990, the second or junior

mortgage questions were asked at 1-family, owner-occupied housing units; mobile homes; and

condominiums. In Census 2000, the questions were asked at owner-occupied housing units.

SELECTED CONDITIONS

The variable ‘‘Selected conditions’’ is defined for owner- and renter-occupied housing units as

having at least one of the following conditions: (1) lacking complete plumbing facilities, (2)

lacking complete kitchen facilities, (3) with 1.01 or more occupants per room, (4) selected

monthly owner costs as a percentage of household income in 1999 greater than 30 percent, and

(5) gross rent as a percentage of household income in 1999 greater than 30 percent.

Comparability. Data on ‘‘Selected Conditions’’ were shown for the first time in the 1990. The

same conditions were identified in Census 2000. In 2000, all characteristics included under

‘‘Selected Conditions’’ were asked on a sample basis. In 1990, data on the number of occupants

per room were based on all households, while the remaining characteristics were based on a

sample.

SELECTED MONTHLY OWNER COSTS

The data on selected monthly owner costs were obtained from answers to long-form

questionnaire Items 45a-d, 47b, 48b, 49, 50, 52, and 53b, which were asked on a sample basis at

owner-occupied housing units. Selected monthly owner costs are the sum of payments for

mortgages, deeds of trust, contracts to purchase, or similar debts on the property (including

payments for the first mortgage, second mortgage, home equity loans, and other junior

mortgages); real estate taxes; fire, hazard, and flood insurance on the property; utilities

(electricity, gas, and water and sewer); and fuels (oil, coal, kerosene, wood, etc.). It also includes,

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where appropriate, the monthly condominium fees or mobile home costs (installment loan

payments, personal property taxes, site rent, registration fees, and license fees). Selected monthly

owner costs were tabulated separately for all owner-occupied units, specified owner-occupied

units, and owner-occupied mobile homes and, usually, are shown separately for units ‘‘with a

mortgage’’ and for units ‘‘not mortgaged.’’

Specified owner-occupied housing units. Specified owner-occupied units include only 1-family

houses on less than 10 acres without a business or medical office on the property. The data for

‘‘specified units’’ exclude mobile homes, houses with a business or medical office, houses on 10

or more acres, and housing units in multiunit buildings.

Median selected monthly owner costs. This measure divides the selected monthly owner

costs distribution into two equal parts, one-half of the cases falling below the median selected

monthly owner costs and one-half above the median. Medians are shown separately for units

‘‘with a mortgage’’ and for units ‘‘not mortgaged.’’ Median selected monthly owner costs are

computed on the basis of a standard distribution (see the ‘‘Standard Distributions’’ section under

‘‘Derived Measures’’). Median selected monthly owner costs are rounded to the nearest whole

dollar. (For more information on medians, see ‘‘Derived Measures.’’)

Aggregate selected monthly owner costs. Aggregate selected monthly owner costs are

calculated by adding together all the selected monthly owner costs for occupied housing units in

an area. Aggregate selected monthly owner costs are subject to rounding, which means that all

cells in a matrix are rounded to the nearest hundred dollars. (For more information, see

‘‘Aggregate’’ under ‘‘Derived Measures.’’)

Comparability. The components of selected monthly owner costs were collected for the first

time in 1980. In 1990, the questions related to selected monthly owner costs were asked at

1-family, owner-occupied houses; mobile homes; and condominiums. In Census 2000, the

questions related to selected monthly owner costs were asked at all owner-occupied housing

units. Question 53a, ‘‘Do you have an installment loan or contract on this mobile home?’’ was

added in Census 2000 to determine the existence of installment loans or contracts on mobile

home units.

SELECTED MONTHLY OWNER COSTS AS A PERCENTAGE OF HOUSEHOLD INCOME IN

1999

The information on selected monthly owner costs as a percentage of household income in 1999 is

the computed ratio of selected monthly owner costs to monthly household income in 1999. The

ratio was computed separately for each unit and rounded to the nearest whole percentage. It is

based on questions asked of a sample of households. The data are tabulated separately for all

owner-occupied units housing units and specified owner-occupied housing units.

Separate distributions are often shown for units ‘‘with a mortgage’’ and for units ‘‘not mortgaged.’’

Units occupied by households reporting no income or a net loss in 1999 are included in the ‘‘not

computed’’ category. (For more information, see ‘‘Selected Monthly Owner Costs.’’)

Median selected monthly owner costs as a percentage of household income. This

measure divides the selected monthly owner costs as a percentage of household income

distribution into two equal parts, one-half of the cases falling below the median selected monthly

owner costs as a percentage of household income and one-half above the median. Median

selected monthly owner costs as a percentage of household income is computed on the basis of a

standard distribution (see the ‘‘Standard Distributions’’ section under ‘‘Derived Measures’’). Median

selected monthly owner costs as a percentage of household income is rounded to the nearest

tenth. (For more information on medians, see ‘‘Derived Measures.’’)

TELEPHONE SERVICE AVAILABLE

The data on telephones were obtained from answers to long-form questionnaire Item 41, which

was asked on a sample basis at occupied housing units. Households with telephone service have

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a telephone in working order and are able to make and receive calls. Households whose service

has been discontinued for nonpayment or other reasons are not counted as having telephone

service available.

Comparability. In Census 2000, the telephone question emphasizes the availability of service in

the house, apartment, or mobile home. Data on telephone service are needed because an

individual can own a telephone but have no service to make or receive calls. In 1980 and 1990,

respondents were asked about the presence of a telephone in the housing unit. In 1960 and 1970,

a unit was classified as having a telephone available if there was a telephone number on which

the occupants of the unit could be reached. The telephone could have been in another unit, in a

common hall, or outside the building.

TENURE

The data on tenure, which was asked at all occupied housing units, were obtained from answers

to long-form questionnaire Item 33 and short-form questionnaire Item 2. All occupied housing

units are classified as either owner occupied or renter occupied.

Owner occupied. A housing unit is owner occupied if the owner or co-owner lives in the unit

even if it is mortgaged or not fully paid for. The owner or co-owner must live in the unit and

usually is Person 1 on the questionnaire. The unit is ‘‘Owned by you or someone in this household

with a mortgage or loan’’ if it is being purchased with a mortgage or some other debt

arrangement, such as a deed of trust, trust deed, contract to purchase, land contract, or purchase

agreement. The unit is also considered owned with a mortgage if it is built on leased land and

there is a mortgage on the unit. Mobile homes occupied by owners with installment loans

balances are also included in this category.

A housing unit is ‘‘Owned by you or someone in this household free and clear (without a

mortgage or loan)’’ if there is no mortgage or other similar debt on the house, apartment, or

mobile home including units built on leased land if the unit is owned outright without a mortgage.

The tenure item on the Census 2000 questionnaire distinguishes between units owned with a

mortgage or loan and those owned free and clear. In the sample data products, as in the

100-percent products, the tenure item provides data for total owner-occupied units. Detailed

information that identifies mortgaged and nonmortgaged units are provided in other sample

housing matrices. (For more information, see discussion under ‘‘Mortgage Status,’’ ‘‘Selected

Monthly Owner Costs,’’ and ‘‘Selected Monthly Owner Costs as a Percentage of Household Income

in 1999.’’)

Renter occupied. All occupied housing units that are not owner occupied, whether they are

rented for cash rent or occupied without payment of cash rent, are classified as renter occupied.

‘‘No cash rent’’ units are separately identified in the rent tabulations. Such units are generally

provided free by friends or relatives or in exchange for services, such as resident manager,

caretaker, minister, or tenant farmer. Housing units on military bases also are classified in the ‘‘No

cash rent’’ category. ‘‘Rented for cash rent’’ includes units in continuing care, sometimes called life

care arrangements. These arrangements usually involve a contract between one or more

individuals and a service provider guaranteeing the individual shelter, usually a house or

apartment, and services, such as meals or transportation to shopping or recreation. (For more

information, see ‘‘Meals Included in Rent.’’)

Comparability. Data on tenure have been collected since 1890. For 1990, the response

categories were expanded to allow the respondent to report whether the unit was owned with a

mortgage or loan, or free and clear (without a mortgage). The distinction between units owned

with a mortgage and units owned free and clear was added in 1990 to improve the count of

owner-occupied units. Research after the 1980 census indicated some respondents did not

consider their units owned if they had a mortgage. In Census 2000, we continued with the same

tenure categories used in the 1990 census.

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UNITS IN STRUCTURE

The data on units in structure (also referred to as ‘‘type of structure’’) were obtained from answers

to long-form questionnaire Item 34, which was asked on a sample basis at both occupied and

vacant housing units. A structure is a separate building that either has open spaces on all sides or

is separated from other structures by dividing walls that extend from ground to roof. In

determining the number of units in a structure, all housing units, both occupied and vacant, are

counted. Stores and office space are excluded. The statistics are presented for the number of

housing units in structures of specified type and size, not for the number of residential buildings.

1-unit, detached. This is a 1-unit structure detached from any other house; that is, with open

space on all four sides. Such structures are considered detached even if they have an adjoining

shed or garage. A 1-family house that contains a business is considered detached as long as the

building has open space on all four sides. Mobile homes to which one or more permanent rooms

have been added or built also are included.

1-unit, attached. This is a 1-unit structure that has one or more walls extending from ground to

roof separating it from adjoining structures. In row houses (sometimes called townhouses),

double houses, or houses attached to nonresidential structures, each house is a separate,

attached structure if the dividing or common wall goes from ground to roof.

2 or more units. These are units in structures containing 2 or more housing units, further

categorized as units in structures with 2, 3 or 4, 5 to 9, 10 to 19, 20 to 49, and 50 or more units.

Mobile home. Both occupied and vacant mobile homes to which no permanent rooms have been

added are counted in this category. Mobile homes used only for business purposes or for extra

sleeping space and mobile homes for sale on a dealer’s lot, at the factory, or in storage are not

counted in the housing inventory. In 1990, the category was ‘‘mobile home or trailer.’’

Boat, RV, van, etc. This category is for any living quarters occupied as a housing unit that does

not fit in the previous categories. Examples that fit in this category are houseboats, railroad cars,

campers, and vans.

Comparability. Data on units in structure have been collected since 1940 and on mobile homes

and trailers since 1950. In 1970 and 1980, these data were shown only for year-round housing

units. A category of ‘‘other’’ was used in 1990, but this category was greatly overstated. It was

replaced by ‘‘Boat, RV, van, etc.’’ in Census 2000. A similar category, ‘‘Boat, tent, van, etc.’’ was

used in 1980. In Census 2000, this question was asked on a sample basis. In 1990 and prior to

1980, the unit in structure question was asked on a 100-percent basis. In 1980, data on units at

address were collected on a 100-percent basis and data on units in structure were collected on a

sample basis. The 1980 data on ‘‘units at address’’ should not be used a proxy for ‘‘units in

structure’’ because some multiunit buildings had more than one street address.

USUAL HOME ELSEWHERE

The data for usual home elsewhere were obtained from Enumerator Questionnaire, Item A, which

was completed by census enumerators. A housing unit temporarily occupied at the time of

enumeration entirely by people with a usual residence elsewhere was classified as vacant. The

occupants were classified as having a ‘‘Usual home elsewhere’’ and were counted at the address of

their usual place of residence. All usual home elsewhere units were classified as ‘‘For seasonal,

recreational, or occasional use’’ unless the respondent specifically stated the unit had a different

vacancy status (for more information, see ‘‘Vacancy Status’’).

Limitation of the data. Evidence from previous censuses suggests that in some areas

enumerators marked units as ‘‘vacant—usual home elsewhere’’ when they should have marked

‘‘vacant—regular.’’

Comparability. Data for usual home elsewhere were tabulated for the first time in 1980. In the

1990 census, the question was included on both the 100-percent and sample mail and

enumerator forms. In Census 2000, the question was only included on the 100-percent and

sample questionnaires completed by census enumerators.

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UTILITIES

The data on utility costs were obtained from answers to long-form questionnaire Items 45a

through 45d, which were asked on a sample basis at occupied housing units. Questions 45a

through 45d asked for the annual cost of utilities (electricity, gas, water and sewer) and other

fuels (oil, coal, wood, kerosene, etc.). For the tabulations, these annual amounts are divided by 12

to derive the average monthly cost and are then included in the computation of ‘‘Gross Rent,’’

‘‘Gross Rent as a Percentage of Household Income in 1999,’’ ‘‘Selected Monthly Owner Costs,’’ and

‘‘Selected Monthly Owner Costs as a Percentage of Household Income in 1999.’’

Costs are recorded if paid by or billed to occupants, a welfare agency, relatives, or friends. Costs

that are paid by landlords, included in the rent payment, or included in condominium or

cooperative fees are excluded.

Limitation of the data. Research has shown that respondents tended to overstate their

expenses for electricity and gas when compared with utility company records. There is some

evidence that this overstatement is reduced when annual costs are asked rather than monthly

costs. Caution should be exercised in using these data for direct analysis because costs are not

reported for certain kinds of units, such as renter-occupied units with all utilities included in the

rent and owner-occupied condominium units with utilities included in the condominium fee.

Comparability. The data on utility costs have been collected since 1980 for owner-occupied

housing units, and since 1940 for renter-occupied housing units. In 1980, costs for electricity and

gas were collected as average monthly costs. Beginning in 1990, all utility and fuel costs were

collected as annual costs and divided by 12 to provide an average monthly cost.

VACANCY STATUS

The data on vacancy status were obtained from Enumerator Questionnaire Item C. Vacancy status

and other characteristics of vacant units were determined by census enumerators obtaining

information from landlords, owners, neighbors, rental agents, and others. Vacant units are

subdivided according to their housing market classification as follows:

For rent. These are vacant units offered ‘‘for rent,’’ and vacant units offered either ‘‘for rent’’ or

‘‘for sale.’’

For sale only. These are vacant units offered ‘‘for sale only,’’ including units in cooperatives and

condominium projects if the individual units are offered ‘‘for sale only.’’ If units are offered either

‘‘for rent’’ or ‘‘for sale,’’ they are included in the ‘‘for rent’’ classification.

Rented or sold, not occupied. If any money rent has been paid or agreed upon but the new

renter has not moved in as of the date of enumeration, or if the unit has recently been sold but

the new owner has not yet moved in, the vacant unit is classified as ‘‘rented or sold, not

occupied.’’

For seasonal, recreational, or occasional use. These are vacant units used or intended for

use only in certain seasons, for weekends, or other occasional use throughout the year. Seasonal

units include those used for summer or winter sports or recreation, such as beach cottages and

hunting cabins. Seasonal units also may include quarters for such workers as herders and loggers.

Interval ownership units, sometimes called shared-ownership or time-sharing condominiums, also

are included in this category.

For migrant workers. These include vacant units intended for occupancy by migrant workers

employed in farm work during the crop season. (Work in a cannery, a freezer plant, or a

food-processing plant is not farm work.)

Other vacant. If a vacant unit does not fall into any of the categories specified above, it is

classified as ‘‘other vacant.’’ For example, this category includes units held for occupancy by a

caretaker or janitor, and units held for personal reasons of the owner.

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Available housing. Available housing units are vacant units that are ‘‘for sale only’’ or ‘‘for

rent.’’

Available housing vacancy rate. The available housing vacancy rate is the proportion of the

housing inventory that is available ‘‘for sale only’’ or ‘‘for rent.’’ It is computed by dividing the

number of available units by the sum of occupied units and available units, and then multiplying

by 100. This measure is rounded to the nearest tenth.

Homeowner vacancy rate. The homeowner vacancy rate is the proportion of the homeowner

housing inventory that is vacant ‘‘for sale.’’ It is computed by dividing the number of vacant units

‘‘for sale only’’ by the sum of owner-occupied units and vacant units that are ‘‘for sale only,’’ and

then multiplying by 100. This measure is rounded to the nearest tenth.

Rental vacancy rate. The rental vacancy rate is the proportion of the rental inventory that is

vacant ‘‘for rent.’’ It is computed by dividing the number of vacant units ‘‘for rent’’ by the sum of

renter-occupied units and vacant units that are ‘‘for rent,’’ and then multiplying by 100. This

measure is rounded to the nearest tenth.

Comparability. Data on vacancy status have been collected since 1940. Since 1990, the

category, ‘‘For seasonal, recreational, or occasional use,’’ has been used. In earlier censuses,

separate categories were used to collect data on these types of vacant units. Also, in 1970 and

1980, housing characteristics generally were presented only for year-round units. Beginning in

1990 and continuing into Census 2000, housing characteristics are shown for all housing units.

VALUE

The data on value (also referred to as ‘‘price asked’’ for vacant units) were obtained from answers

to long-form questionnaire Item 51, which was asked on a sample basis at owner-occupied

housing units and units that were being bought, or vacant for sale at the time of enumeration.

Value is the respondent’s estimate of how much the property (house and lot, mobile home and lot,

or condominium unit) would sell for if it were for sale. If the house or mobile home was owned or

being bought, but the land on which it sits was not, the respondent was asked to estimate the

combined value of the house or mobile home and the land. For vacant units, value was the price

asked for the property. Value was tabulated separately for all owner-occupied and vacant-for-sale

housing units, owner-occupied and vacant-for-sale mobile homes, and specified owner-occupied

and specified vacant-for-sale housing units.

Specified owner-occupied and specified vacant-for-sale units. Specified owner-occupied

and specified vacant-for-sale housing units include only 1-family houses on less than 10 acres

without a business or medical office on the property. The data for ‘‘specified units’’ exclude mobile

homes, houses with a business or medical office, houses on 10 or more acres, and housing units

in multiunit buildings.

Median and quartile value. The median divides the value distribution into two equal parts:

one-half of the cases falling below the median value of the property (house and lot, mobile home

and lot, or condominium unit) and one-half above the median. Quartiles divide the value

distribution into four equal parts. Median and quartile value are computed on the basis of a

standard distribution (see the ‘‘Standard Distributions’’ section under ‘‘Derived Measures’’). Median

and quartile value calculations are rounded to the nearest hundred dollars. Upper and lower

quartiles can be used to note large value differences among various geographic areas. (For more

information on medians and quartiles, see ‘‘Derived Measures.’’)

Aggregate value. To calculate aggregate value, the amount assigned for the category ‘‘Less

than $10,000’’ is $9,000. The amount assigned to the category ‘‘$1,000,000 or more’’ is

$1,250,000. Aggregate value is rounded to the nearest hundred dollars. (For more information on

aggregates, see ‘‘Derived Measures.’’)

Aggregate price asked. To calculate aggregate price asked, the amount assigned for the

category ‘‘Less than $10,000’’ is $9,000. The amount assigned to the category ‘‘$1,000,000 or

more’’ is $1,250,000. Aggregate price asked is rounded to the nearest hundred dollars. (For more

information on aggregates, see ‘‘Derived Measures.’’)

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Comparability. In Census 2000, this question was asked on a sample basis. In previous

decennial censuses, the question on value was asked on a 100-percent basis. In 1980, value was

asked only at owner-occupied or vacant-for-sale 1-family houses on less than 10 acres with no

business or medical office on the property and at all owner-occupied or vacant-for-sale

condominium housing units. Mobile homes were excluded. Value data were presented for

specified owner-occupied housing units, specified vacant-for-sale-only housing units, and

owner-occupied condominium housing units.

Beginning in 1990, the question was asked at all owner-occupied or vacant-for-sale-only housing

units with no exclusions. Data presented for specified owner-occupied and specified

vacant-for-sale-only housing units include 1-family condominium houses but not condominiums in

multiunit structures.

VEHICLES AVAILABLE

The data on vehicles available were obtained from answers to long-form questionnaire Item 43,

which was asked on a sample basis at occupied housing units. These data show the number of

passenger cars, vans, and pickup or panel trucks of 1-ton capacity or less kept at home and

available for the use of household members. Vehicles rented or leased for 1 month or more,

company vehicles, and police and government vehicles are included if kept at home and used for

nonbusiness purposes. Dismantled or immobile vehicles are excluded. Vehicles kept at home but

used only for business purposes also are excluded.

Aggregate vehicles available. To calculate aggregate vehicles available, a value of ‘‘7’’ is

assigned to vehicles available for occupied units falling within the terminal category, ‘‘6 or more.’’

(For more information on aggregates, see ‘‘Derived Measures.’’)

Vehicles per household (Mean vehicles available). Vehicles per household is computed by

dividing aggregate vehicles available by the number of occupied housing units. Vehicles per

household is rounded to the nearest tenth. (For more information on means, see ‘‘Derived

Measures.’’)

Limitation of the data. The statistics do not measure the number of vehicles privately owned

or the number of households owning vehicles.

Comparability. Data on automobiles available were collected from 1960 to 1980. In 1980, a

separate question also was asked on the number of trucks and vans. The data on automobiles and

trucks and vans were presented separately and also as a combined vehicles-available tabulation.

The 1990 and Census 2000 data are comparable to the 1980 vehicles-available tabulations. In

1990, the terminal category identified ‘‘7 or more’’; this was changed to ‘‘6 or more’’ in Census

2000.

YEAR HOUSEHOLDER MOVED INTO UNIT

The data on year householder moved into unit were obtained from answers to long-form

questionnaire Item 36, which was asked on a sample at occupied housing units. These data refer

to the year of the latest move by the householder. If the householder moved back into a housing

unit he or she previously occupied, the year of the latest move was reported. If the householder

moved from one apartment to another within the same building, the year the householder moved

into the present apartment was reported. The intent is to establish the year the present occupancy

by the householder began. The year that the householder moved in is not necessarily the same

year other members of the household moved in, although in the great majority of cases an entire

household moves at the same time.

Median year householder moved into unit. Median year householder moved into unit divides

the distribution into two equal parts: one-half of the cases falling below the median year

householder moved into unit and one-half above the median. Median year householder moved

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into unit is computed on the basis of a standard distribution (see the ‘‘Standard Distributions’’

section under ‘‘Derived Measures’’). Median year householder moved into unit is rounded to the

nearest whole number. (For more information on medians, see ‘‘Derived Measures.’’)

Comparability. In 1960 and 1970, this question was asked of every person and included in

population reports. This item in housing tabulations refers to the year the householder moved in.

Since 1980, the question has been asked only of the householder.

YEAR STRUCTURE BUILT

The data on year structure built were obtained from answers to long-form questionnaire Item 35,

which was asked on a sample basis at both occupied and vacant housing units. Year structure

built refers to when the building was first constructed, not when it was remodeled, added to, or

converted. For housing units under construction that met the housing unit definition—that is, all

exterior windows, doors, and final usable floors were in place—the category ‘‘1999 or 2000’’ was

used for tabulations. For mobile homes, houseboats, RVs, etc., the manufacturer’s model year was

assumed to be the year built. The data relate to the number of units built during the specified

periods that were still in existence at the time of enumeration.

Median year structure built. Median year structure built divides the distribution into two

equal parts: one-half of the cases falling below the median year structure built and one-half above

the median. Median year structure built is computed on the basis of a standard distribution (see

the ‘‘Standard Distributions’’ section under ‘‘Derived Measures’’). Median year structure built is

rounded to the nearest whole number. Median age of housing can be obtained by subtracting

median year structure built from 2000. For example, if the median year structure built is 1967,

the median age of housing in that area is 33 years (2000 minus 1967). (For more information on

medians, see ‘‘Derived Measures.’’)

Limitation of the data. Data on year structure built are more susceptible to errors of response

and nonreporting than data on many other items because respondents must rely on their memory

or on estimates by people who have lived in the neighborhood a long time.

Comparability. Data on year structure built were collected for the first time in the 1940 census.

Since then, the response categories have been modified to accommodate the 10-year period

between each census. In the 1980 census, the number of units built before 1940 appeared to be

underreported. In an effort to alleviate this problem, a ‘‘Don’t know’’ category was added in 1990.

Responses of ‘‘Don’t know’’ were treated like blanks and the item was allocated from similar units

by tenure and structure type. However, this led to an extremely high allocation rate for the item

(28 percent). A 1996 test proved inconclusive in determining whether a ‘‘Don’t know’’ category led

to a more accurate count of older units, but the test showed the allocation rate for this item was

greatly reduced by the elimination of the ‘‘Don’t know’’ category. As a result, ‘‘Don’t know’’ was

deleted for Census 2000.

DERIVED MEASURES

Census data products include various derived measures, such as medians, means, and

percentages, as well as certain rates and ratios. Derived measures that round to less than 0.1 are

shown as zero.

Aggregate

See ‘‘Mean.’’

Average

See ‘‘Mean.’’

Interpolation

Interpolation is frequently used to calculate medians or quartiles and to approximate standard

errors from tables based on interval data. Different kinds of interpolation may be used to estimate

the value of a function between two known values, depending on the form of the distribution. The

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most common distributional assumption is that the data are linear, resulting in linear

interpolation. However, this assumption may not be valid for income data, particularly when the

data are based on wide intervals. For these cases, a Pareto distribution is assumed and the median

is estimated by interpolating between the logarithms of the upper and lower income limits of the

median category. The Census Bureau estimates median income using the Pareto distribution

within intervals when the intervals are wider than $2,500.

Mean

This measure represents an arithmetic average of a set of values. It is derived by dividing the sum

(or aggregate) of a group of numerical items by the total number of items in that group. For

example, mean household earnings is obtained by dividing the aggregate of all earnings reported

by individuals with earnings living in households by the total number of households with

earnings. (Additional information on means and aggregates is included in the separate

explanations of many population and housing subjects.)

Aggregate. An aggregate is the sum of the values for each of the elements in the universe. For

example, aggregate household income is the sum of the incomes of all households in a given

geographic area. Means are derived by dividing the aggregate by the appropriate universe.

Rounding for selected aggregates. To protect the confidentiality of responses, the aggregates

shown in matrices for the list of subjects below are rounded. This means that the aggregates for

these subjects, except for travel time to work, are rounded to the nearest hundred dollars. Unless

special rounding rules apply (see below); $150 rounds up to $200; $149 rounds down to $100.

Note that each cell in a matrix is rounded individually. This means that an aggregate value shown

for the United States may not necessarily be the sum total of the aggregate values in the matrices

for the states. This also means that the cells in the aggregate matrices may not add to the total

and/or subtotal lines.

Special rounding rules for aggregates

• If the dollar value is between –$100 and +$100, then the dollar value is rounded to $0.

• If the dollar value is less than –$100, then the dollar value is rounded to the nearest –$100.

Aggregates Subject to Rounding

Contract Rent

Earnings in 1999 (Households)

Earnings in 1999 (Individuals)

Gross Rent*

Income Deficit in 1999 (Families)

Income Deficit in 1999 Per Family Member

Income Deficit in 1999 Per Unrelated Individual

Income in 1999 (Household/Family/Nonfamily Household)

Income in 1999 (Individuals)

Real Estate Taxes

Rent Asked

Selected Monthly Owner Costs* by Mortgage Status

Travel Time To Work**

Type of Income in 1999 (Households)

Value, Price Asked

* Gross Rent and Selected Monthly Owner Costs include other aggregates that also are subject to

rounding. For example, Gross Rent includes aggregates of payments for ‘‘contract rent’’ and the

‘‘costs of utilities and fuels.’’ Selected Monthly Owner Costs includes aggregates of payments for

‘‘mortgages, deeds of trust, contracts to purchase, or similar debts on the property (including

payments for the first mortgage, second mortgage, home equity loans, and other junior

mortgages); real estate taxes; fire, hazard, and flood insurance on the property, and the costs of

utilities and fuels.’’

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** Aggregate travel time to work is zero if the aggregate is zero, is rounded to 4 minutes if the

aggregate is 1 to 7 minutes, and is rounded to the nearest multiple of 5 minutes for all other

values (if the aggregate is not already evenly divisible by 5).

Median

This measure represents the middle value (if n is odd) or the average of the two middle values (if

n is even) in an ordered list of n data values. The median divides the total frequency distribution

into two equal parts: one-half of the cases falling below the median and one-half above the

median. Each median is calculated using a standard distribution (see below). (For more

information, see ‘‘Interpolation.’’)

For data products displayed in American FactFinder, medians that fall in the upper-most category

of an open-ended distribution will be shown with a plus symbol (+) appended (e.g., ‘‘$2,000+’’ for

contract rent), and medians that fall in the lowest category of an open-ended distribution will be

shown with a minus symbol (-) appended (e.g., ‘‘$100- for contract rent’’). For data products on

CD-ROM and DVD, and data files that are downloaded by users (i.e., FTP files), plus and minus

signs will not be appended. Contract rent, for example will be shown as $2001 if the median falls

in the upper-most category ($2,000 or more) and $99 if the median falls in the lowest category

(Less than $100). (The ‘‘Standard Distributions’’ section below shows the open-ended intervals for

medians.)

Standard distributions. In order to provide consistency in the values within and among data

products, standard distributions from which medians and quartiles are calculated are used for

Census 2000. This is a new approach for Census 2000; in previous censuses medians were not

necessarily based on a single, standard distribution. The Census 2000 standard distributions are

listed below.

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Standard Distribution for Median Age:

[116 data cells]

Under 1 year

1 year

2 years

3 years

4 years

5 years

.

.

.

112 years

113 years

114 years

115 years and over

Standard Distribution for Median Contract Rent/Quartile Contract Rent/Rent Asked/Gross

Rent:

[22 data cells]

Less than $100

$100 to $149

$150 to $199

$200 to $249

$250 to $299

$300 to $349

$350 to $399

$400 to $449

$450 to $499

$500 to $549

$550 to $599

$600 to $649

$650 to $699

$700 to $749

$750 to $799

$800 to $899

$900 to $999

$1,000 to $1,249

$1,250 to $1,499

$1,500 to $1,749

$1,750 to $1,999

$2,000 or more

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Standard Distribution for Median Earnings in 1999 and Median Income in 1999

(Individuals):

[35 data cells]

$1 to $2,499 or loss

$2,500 to $4,999

$5,000 to $7,499

$7,500 to $9,999

$10,000 to $12,499

$12,500 to $14,999

$15,000 to $17,499

$17,500 to $19,999

$20,000 to $22,499

$22,500 to $24,999

$25,000 to $27,499

$27,500 to $29,999

$30,000 to $32,499

$32,500 to $34,999

$35,000 to $37,499

$37,500 to $39,999

$40,000 to $42,499

$42,500 to $44,999

$45,000 to $47,499

$47,500 to $49,999

$50,000 to $52,499

$52,500 to $54,999

$55,000 to $57,499

$57,500 to $59,999

$60,000 to $62,499

$62,500 to $64,999

$65,000 to $67,499

$67,500 to $69,999

$70,000 to $72,499

$72,500 to $74,999

$75,000 to $79,999

$80,000 to $84,999

$85,000 to $89,999

$90,000 to $99,999

$100,000 or more

Standard Distribution for Median Gross Rent as a Percentage of Household Income in

1999:

[9 data cells]

Less than 10.0 percent

10.0 to 14.9 percent

15.0 to 19.9 percent

20.0 to 24.9 percent

25.0 to 29.9 percent

30.0 to 34.9 percent

35.0 to 39.9 percent

40.0 to 49.9 percent

50.0 percent or more

B–72

U.S. Census Bureau, Census 2000
Standard Distribution for Median Income in 1999 (Household/Family/Nonfamily

Household):

[39 data cells]

Less than $2,500

$2,500 to $4,999

$5,000 to $7,499

$7,500 to $9,999

$10,000 to $12,499

$12,500 to $14,999

$15,000 to $17,499

$17,500 to $19,999

$20,000 to $22,499

$22,500 to $24,999

$25,000 to $27,499

$27,500 to $29,999

$30,000 to $32,499

$32,500 to $34,999

$35,000 to $37,499

$37,500 to $39,999

$40,000 to $42,499

$42,500 to $44,999

$45,000 to $47,499

$47,500 to $49,999

$50,000 to $52,499

$52,500 to $54,999

$55,000 to $57,499

$57,500 to $59,999

$60,000 to $62,499

$62,500 to $64,999

$65,000 to $67,499

$67,500 to $69,999

$70,000 to $72,499

$72,500 to $74,999

$75,000 to $79,999

$80,000 to $84,999

$85,000 to $89,999

$90,000 to $99,999

$100,000 to $124,999

$125,000 to $149,999

$150,000 to $174,999

$175,000 to $199,999

$200,000 or more

B–73

U.S. Census Bureau, Census 2000
Standard Distribution for Median Real Estate Taxes:

[14 data cells]

Less than $200

$200 to $299

$300 to $399

$400 to $599

$600 to $799

$800 to $999

$1,000 to $1,499

$1,500 to $1,999

$2,000 to $2,999

$3,000 to $3,999

$4,000 to $4,999

$5,000 to $7,499

$7,500 to $9,999

$10,000 or more

Standard Distribution for Median Rooms:

[9 data cells]

1 room

2 rooms

3 rooms

4 rooms

5 rooms

6 rooms

7 rooms

8 rooms

9 or more rooms

Standard Distribution for Median Selected Monthly Owner Costs by Mortgage Status (With

a Mortgage):

[19 data cells]

Less than $100

$100 to $199

$200 to $299

$300 to $399

$400 to $499

$500 to $599

$600 to $699

$700 to $799

$800 to $899

$900 to $999

$1,000 to $1,249

$1,250 to $1,499

$1,500 to $1,749

$1,750 to $1,999

$2,000 to $2,499

$2,500 to $2,999

$3,000 to $3,499

$3,500 to $3,999

$4,000 or more

B–74

U.S. Census Bureau, Census 2000
Standard Distribution for Median Selected Monthly Owner Costs by Mortgage Status

(Without a Mortgage):

[14 data cells]

Less than $100

$100 to $149

$150 to $199

$200 to $249

$250 to $299

$300 to $349

$350 to $399

$400 to $499

$500 to $599

$600 to $699

$700 to $799

$800 to $899

$900 to $999 $1,000 or more

Standard Distribution for Median Selected Monthly Owner Costs as a Percentage of

Household Income in 1999 by Mortgage Status:

[9 data cells]

Less than 10.0 percent

10.0 to 14.9 percent

15.0 to 19.9 percent

20.0 to 24.9 percent

25.0 to 29.9 percent

30.0 to 34.9 percent

35.0 to 39.9 percent

40.0 to 49.9 percent

50.0 percent or more

Standard Distribution for Median Usual Hours Worked Per Week in 1999:

[9 data cells]

Usually worked 50 to 99 hours per week

Usually worked 45 to 49 hours per week

Usually worked 41 to 44 hours per week

Usually worked 40 hours per week

Usually worked 35 to 39 hours per week

Usually worked 30 to 34 hours per week

Usually worked 25 to 29 hours per week

Usually worked 15 to 24 hours per week

Usually worked 1 to 14 hours per week

B–75

U.S. Census Bureau, Census 2000
Standard Distribution for Median Value/Quartile Value/Price Asked:

[24 data cells]

Less than $10,000

$10,000 to $14,999

$15,000 to $19,999

$20,000 to $24,999

$25,000 to $29,999

$30,000 to $34,999

$35,000 to $39,999

$40,000 to $49,999

$50,000 to $59,999

$60,000 to $69,999

$70,000 to $79,999

$80,000 to $89,999

$90,000 to $99,999

$100,000 to $124,999

$125,000 to $149,999

$150,000 to $174,999

$175,000 to $199,999

$200,000 to $249,999

$250,000 to $299,999

$300,000 to $399,999

$400,000 to $499,999

$500,000 to $749,999

$750,000 to $999,999

$1,000,000 or more

Standard Distribution for Median Weeks Worked in 1999:

[6 data cells]

50 to 52 weeks worked in 1999

48 or 49 weeks worked in 1999

40 to 47 weeks worked in 1999

27 to 39 weeks worked in 1999

14 to 26 weeks worked in 1999

1 to 13 weeks worked in 1999

Standard Distribution for Median Year Householder Moved Into Unit:

[6 data cells]

Moved in 1999 to March 2000

Moved in 1995 to 1998

Moved in 1990 to 1994

Moved in 1980 to 1989

Moved in 1970 to 1979

Moved in 1969 or earlier

Standard Distribution for Median Year Structure Built:

[9 data cells]

Built 1999 to March 2000

Built 1995 to 1998

Built 1990 to 1994

Built 1980 to 1989

Built 1970 to 1979

Built 1960 to 1969

Built 1950 to 1959

Built 1940 to 1949

Built 1939 or earlier

B–76

U.S. Census Bureau, Census 2000
Percentage

This measure is calculated by taking the number of items in a group possessing a characteristic of

interest and dividing by the total number of items in that group, and then multiplying by 100.

Quartile

This measure divides a distribution into four equal parts. The first quartile (or lower quartile) is

the value that defines the upper limit of the lowest one-quarter of the cases. The second quartile

is the median. The third quartile (or upper quartile) is defined as the upper limit of the lowest

three quarters of cases in the distribution. Quartiles are presented for certain financial

characteristics, such as housing value and contract rent. The distribution used to compute

quartiles is the same as that used to compute medians for that variable.

Rate

This is a measure of occurrences in a given period of time divided by the possible number of

occurrences during that period. For example, the homeowner vacancy rate is calculated by

dividing the number of vacant units ‘‘for sale only’’ by the sum of owner-occupied units and

vacant units that are ‘‘for sale only,’’ and then multiplying by 100. Rates are sometimes presented

as percentages.

Ratio

This is a measure of the relative size of one number to a second number expressed as the

quotient of the first number divided by the second. For example, the sex ratio is calculated by

dividing the total number of males by the total number of females, and then multiplying by 100.

B–77

U.S. Census Bureau, Census 2000
Appendix C.

Data Collection and Processing Procedures

CONTENTS

Page

Enumeration and Residence Rules .............................................................. C–1

United States .................................................................................. C–1

Puerto Rico .................................................................................... C–3

Major Components of the Census 2000 Plan................................................... C–4

Master Address File ........................................................................... C–4

Public Outreach and Marketing ............................................................... C–5

Questionnaire Mailout/Mailback.............................................................. C–6

Collecting Data on Populations Living in Nontraditional Households ....................... C–7

Collecting Long Form Data to Meet Federal Requirements .................................. C–7

Retrieving and Processing the Data From Returned Forms .................................. C–7

Matching and Unduplication .................................................................. C–7

Geographic Database Development – TIGER®................................................ C–8

Field Offices and Staffing ..................................................................... C–8

Data Collection: Basic Enumeration Strategy ................................................ C–9

Special Populations ........................................................................... C–11

Telecommunications Support and Automated Data Processing ............................. C–13

Quality Assurance............................................................................. C–13

The Census 2000 Dress Rehearsal in 1998 .................................................. C–13

Data Dissemination Through the Internet.................................................... C–14

Evaluation and Preparation for 2010 ......................................................... C–14

Glossary ......................................................................................... C–14

ENUMERATION AND RESIDENCE RULES

In accordance with census practice dating back to the first U.S. census in 1790, each person was

to be enumerated as an inhabitant of his or her ‘‘usual residence’’ in Census 2000. Usual residence

is the place where the person lives and sleeps most of the time. This place is not necessarily the

same as the person’s legal residence or voting residence. In the vast majority of cases, however,

the use of these different bases of classification would produce substantially the same statistics,

although there might be appreciable differences for a few areas.

The implementation of this practice has resulted in the establishment of rules for certain

categories of people whose usual place of residence is not immediately apparent. Furthermore,

this practice means that people were not always counted as residents of the place where they

happened to be staying on Census Day (April 1, 2000).

United States

Enumeration rules. Each person whose usual residence was in the United States was to be

included in the census, without regard to the person’s legal status or citizenship. As in previous

censuses, people specifically excluded from the census were citizens of foreign countries

temporarily traveling or visiting in the United States who had not established a residence.

Americans temporarily overseas were to be enumerated at their usual residence in the United

States. With some exceptions, Americans with a usual residence outside the United States were

not enumerated in Census 2000. U.S. military personnel and federal civilian employees stationed

outside the United States and their dependents living with them, are included in the population

counts for the 50 states for purposes of Congressional apportionment but are excluded from all

other tabulations for states and their subdivisions. The counts of overseas U.S. military personnel,

Data Collection and Processing Procedures C–1

U.S. Census Bureau, Census 2000
federal civilian employees, and their dependents were obtained from administrative records maintained by the employing federal departments and agencies. Other Americans living overseas who

were not affiliated with the U.S. government were not included in the census.

Residence rules. Each person included in the census was to be counted at his or her usual

residence the place where he or she lives and sleeps most of the time. If a person had no usual

residence, the person was to be counted where he or she was staying on Census Day.

People temporarily away from their usual residence on Census Day, such as on a vacation or

business trip, were to be counted at their usual residence.

Armed forces personnel in the United States. Members of the U.S. Armed Forces were

counted at their usual residence (the place where they lived and slept most of the time), whether

it was on or off the military installation. Family members of armed forces personnel were counted

at their usual residence (for example, with the armed forces person or at another location).

Personnel assigned to each Navy and Coast Guard vessel with a U.S. homeport were given the

opportunity to report an onshore residence where they usually stayed when they were off the

ship. Those who reported an onshore residence were counted there; those who did not were

counted at their vessel’s homeport.

Personnel on U.S. flag merchant vessels. Crews of U.S. flag merchant vessels docked in a

U.S. port, sailing from one U.S. port to another U.S. port, or sailing from a U.S. port to a Puerto

Rico port were counted at their usual onshore residence if they reported one. Those who did not

were counted as residents of the ship and were assigned as follows:

• The U.S. port, if the vessel was docked there on Census Day.

• The port of departure, if the ship was sailing from one U.S. port to another U.S. port, or from a

U.S. port to a Puerto Rico port.

Crews of U.S. merchant ships docked in a foreign port (including the U.S. Virgin Islands, American

Samoa, the Commonwealth of the Northern Mariana Islands, and Guam), sailing from one foreign

port to another foreign port, sailing from a U.S. port to a foreign port, or sailing from a foreign

port to a U.S. port were not included in the census.

People away at school. College students were counted as residents of the area in which they

were living while attending college, as they have been since the 1950 census. Children in

boarding schools below the college level were counted at their parental home.

People in institutions. People under formally authorized, supervised care or custody, such as in

federal or state prisons; local jails; federal detention centers; juvenile institutions; nursing or

convalescent homes for the aged or dependent; or homes, schools, hospitals, or wards for the

physically handicapped, mentally retarded, or mentally ill; or in drug/alcohol recovery facilities

were counted at these places.

People in general hospitals. People in general hospitals or wards (including Veterans Affairs

hospitals) on Census Day were counted at their usual residence. Newborn babies were counted at

the residence where they would be living.

People in shelters. People staying on Census Day at emergency or transitional shelters with

sleeping facilities for people without housing, such as for abused women or runaway or neglected

youth, were counted at the shelter.

People with multiple residences. People who lived at more than one residence during the

week, month, or year were counted at the place where they lived most of the time. For example,

commuter workers living away part of the week while working were counted at the residence

where they stayed most of the week. Likewise, people who lived in one state but spent the winter

in another state with a warmer climate (‘‘snowbirds’’) were to be counted at the residence where

they lived most of the year.

C–2 Data Collection and Processing Procedures

U.S. Census Bureau, Census 2000
People away from their usual residence on Census Day. Temporary, migrant, or seasonal

workers who did not report a usual U.S. residence elsewhere were counted as residents of the

place where they were on Census Day.

In some areas, natural disasters (hurricanes, tornadoes, flooding, and so forth) displaced

households from their usual place of residence. If these people reported a destroyed or damaged

residence as their usual residence, they were counted at that location.

People away from their usual residence were counted by means of interviews with other members

of their families, resident managers, or neighbors.

Puerto Rico

Enumeration rules. Each person whose usual residence was in Puerto Rico was to be included

in the census, without regard to the person’s legal status or citizenship. As in previous censuses,

people specifically excluded from the census were citizens of foreign countries temporarily

traveling or visiting in Puerto Rico who had not established a residence.

Americans usually living in Puerto Rico but temporarily overseas were to be enumerated at their

usual residence in Puerto Rico. Americans with a usual residence outside Puerto Rico were not

counted as part of the Puerto Rico resident population.

Residence rules. Each person included in the census was to be counted at his or her usual

residence the place where he or she lives and sleeps most of the time. If a person had no usual

residence, the person was to be counted where he or she was staying on Census Day.

People temporarily away from their usual residence were to be counted at their usual residence.

People who moved around Census Day were counted at the place they considered to be their

usual residence.

Armed forces personnel in Puerto Rico. Members of the U.S. Armed Forces were counted at

their usual residence (the place where they lived and slept most of the time), whether it was on or

off the military installation. Family members of armed forces personnel were counted at their

usual residence (for example, with the armed forces person or at another location).

Personnel assigned to each Navy and Coast Guard vessel with a Puerto Rico homeport were given

the opportunity to report an onshore residence where they usually stayed when they were off the

ship. Those who reported an onshore residence were counted there; those who did not were

counted at their vessel’s homeport.

Personnel on U.S. flag merchant vessels. Crews of U.S. flag merchant vessels docked in a

Puerto Rico port, sailing from one Puerto Rico port to another Puerto Rico port, or sailing from a

Puerto Rico port to a U.S. port were counted at their usual onshore residence if they reported one.

Those who did not were counted as residents of the ship and were attributed as follows:

• The Puerto Rico port if the vessel was docked there on Census Day.

• The port of departure if the ship was sailing from one Puerto Rico port to another Puerto Rico

port or from a Puerto Rico port to a U.S. port.

Crews of U.S. merchant ships docked in a foreign port (including the U.S. Virgin Islands, American

Samoa, the Commonwealth of the Northern Mariana Islands, and Guam), sailing from a Puerto

Rico port to a foreign port, or sailing from a foreign port to a Puerto Rico port were not included

in the census.

People away at school. College students were counted as residents of the area in which they

were living while attending college, as they have been since the 1950 census. Children in

boarding schools below the college level were counted at their parental home.

People in institutions. People under formally authorized, supervised care or custody, such as in

federal or state prisons; local jails; federal detention centers; juvenile institutions; nursing or

convalescent homes for the aged or dependent; or homes, schools, hospitals, or wards for the

physically handicapped, mentally retarded, or mentally ill; or in drug/alcohol recovery facilities

were counted at these places.

Data Collection and Processing Procedures C–3

U.S. Census Bureau, Census 2000
People in general hospitals. People in general hospitals or wards (including Veterans Affairs

hospitals) on Census Day were counted at their usual residence. Newborn babies were counted at

the residence where they would be living.

People in shelters. People staying on Census Day at emergency or transitional shelters with

sleeping facilities for people without housing, such as for abused women or runaway or neglected

youth, were counted at the shelter.

People with multiple residences. People who lived at more than one residence during the

week, month, or year were counted at the place where they lived most of the time. For example,

commuter workers living away part of the week while working were counted at the residence

where they stayed most of the week.

People away from their usual residence on Census Day. Temporary, migrant, or seasonal

workers who did not report a usual Puerto Rico residence elsewhere were counted as residents of

the place where they were on Census Day.

In some areas, natural disasters (hurricanes, tornadoes, flooding, and so forth) displaced

households from their usual place of residence. If these people reported a destroyed or damaged

residence as their usual residence, they were counted at that location.

People away from their usual residence were counted by means of interviews with other members

of their families, resident managers, or neighbors.

MAJOR COMPONENTS OF THE CENSUS 2000 PLAN

The Census Bureau prepared the Census 2000 plan to ensure the most accurate decennial census

legally possible. This plan included data collection from 100 percent of households and housing

units. In addition, the plan included an extensive statistical operation to measure and correct

overall and differential coverage of U.S. residents in Census 2000. This operation consisted of a

scientific sample of approximately 300,000 housing units and used regional groupings to

generate corrected counts. To ensure that Census 2000 will be both more accurate and more

cost-effective than the 1990 Census, the Census Bureau reviewed its procedures with input from a

wide array of experts. In addition, the Census Bureau and Department of Commerce officials held

more than 100 briefings for the members of Congress and their staff on the plan for Census

2000. The result has been an innovative departure from past practices that substantially increased

overall accuracy and addressed the differential undercount of children, renters, and minorities. At

the same time, the new methods of enumeration saved money and delivered results more quickly.

The major components of the plan for Census 2000 included:

1. The Master Address File

To conduct Census 2000, the Census Bureau needed to identify and locate an estimated 118

million housing units in the Nation. The Census Bureau accomplished this goal by developing and

maintaining the Master Address File (MAF). This vital operation took place with the assistance of

the U.S. Postal Service (USPS); other federal agencies; tribal, state and local governments;

community organizations; and by an intensive canvass of selected areas. The resulting file was

more comprehensive than ever before.

In 1990, the Census Bureau relied on address lists purchased from vendors. As these lists were

originally generated for marketing purposes, they proved to be less accurate in low-income areas.

As a result, during the 1990 census, housing units were missed often enough to contribute

notably to the undercount problem. Plans for Census 2000 were designed to address weaknesses

found in the 1990 address list. The Census 2000 MAF started with the USPS address list, a list that

does not discriminate against certain areas because of their marketing potential. Partnerships with

state and local officials, community organizations, and tribal governments also played an

important role in making sure the MAF is accurate; the local officials who knew the areas best

helped develop the MAF. Finally, the Bureau made intensive efforts to create address lists in rural

areas well in advance of the census.

C–4 Data Collection and Processing Procedures

U.S. Census Bureau, Census 2000
City-style addresses. The USPS uses the term ‘‘city-style’’ for an address such as ‘‘123 Main

Street,’’ even though such an address may occur in small towns and increasingly along country

roads. In areas where the USPS delivers mail primarily to city-style addresses, the Census Bureau

created the MAF by combining addresses from the 1990 Census Address Control File with those

addresses in the USPS Delivery Sequence File (DSF). The DSF is a national file of individual delivery

point addresses. As part of a cooperative agreement, the USPS provided the Census Bureau with

updated DSFs on a regular basis. The Bureau then located these addresses in its computer

mapping system called TIGER® (Topologically Integrated Geographic Encoding and Referencing). If

an address could not be located, the location was researched and resolved through an office

operation or through assistance from local partners. As a result of this research, the Bureau

identified new features and corrected and added address ranges to the TIGER® database.

Noncity-style addresses. In late 1998 and early 1999, the Census Bureau launched a

comprehensive effort to canvass areas where most residences did not have city-style addresses.

Over 30,000 canvassers visited approximately 22 million residences without a street address to

enter their locations in the TIGER® system. The combination of innovative use of computer data

and technology along with these visits allowed the Bureau to construct the most accurate address

list ever, giving field enumerators more time to meet other challenges presented by the 2000

count.

Remote areas. In a few extremely remote and sparsely settled areas, census enumerators

created the address list at the time of the initial census data collection while canvassing their

assignment area and picking up or completing unaddressed questionnaires that the USPS

previously had delivered to each household.

Nontraditional living quarters. A separate operation built an inventory of all facilities that

were not traditional living quarters; for example, prisons and hospitals. The Bureau interviewed

an official at each location using a Facility Questionnaire. The responses to the questionnaire

identified each group quarters and any housing units associated with the location. The Bureau

classified each group quarters and its associated housing units at the location according to

whether they would be enumerated as part of special place enumeration or through regular

enumeration. The Bureau added these group quarters and housing units to the MAF and linked

them to the TIGER® database.

Local government partnerships. The Bureau relied on local knowledge to build the MAF. State,

local, and tribal governments; regional and metropolitan planning agencies; and related

nongovernmental organizations were encouraged to submit locally developed and maintained

city-style address lists to the Census Bureau to enhance the MAF. The Bureau matched the local

lists both to the MAF and TIGER® database and verified the status of each newly identified address

through ongoing matches to updated address information from the USPS, other independent

sources, and its own field operations. The Local Update of Census Addresses (LUCA) program was

a partnership that allowed local and tribal governments to designate a liaison to review the

portion of the MAF that covered their jurisdiction to help ensure its completeness. After

processing the LUCA input, the Census Bureau provided feedback on the status of the adds,

deletes, and corrections of addresses to the liaisons. The updated address list then was used to

deliver census questionnaires.

2. Public Outreach and Marketing

In 1990, the mail response rate dropped in spite of the Census Bureau’s support of a public

service announcement (PSA) effort that aired donated advertisements. Part of this drop was

caused by the Bureau’s inability to ensure that PSAs were broadcast at optimum times and in

appropriate markets. An evaluation of the 1990 PSA campaign noted that the ads were seldom

placed at optimal times because decisions about when to air PSAs rested with local radio and

television stations. Sixty percent of the U.S. population received 91 percent of the census

advertising impact; 40 percent received only 9 percent. Based on its studies of prior outreach

campaigns, the Bureau concluded that the professional control of a paid media campaign would

produce the best results. Census 2000 launched a vigorous public outreach campaign to educate

everyone about the importance of being counted. Among the improvements in public outreach

and marketing were:

Data Collection and Processing Procedures C–5

U.S. Census Bureau, Census 2000
Partnerships/targeted community outreach. The Census Bureau built partnerships with local

and tribal governments, businesses, and community groups to get the word out, to endorse the

census, and to encourage constituents to respond. Beginning in 1996 and expanding in 1998, the

Bureau hired government and community specialists to build relationships with local community

and service-based organizations, focusing on groups representing traditionally undercounted

populations. The Bureau deployed an extensive outreach program to reach schools, public sector

employees, American Indians, and religious organizations. Businesses, nonprofit groups, and

labor organizations also were asked to endorse participation and to publicize the census through

employee newsletters, inserts with paychecks, and through communications with members and

local chapters.

Direct mail. The census questionnaire and related materials delivered to individual addresses

carried the same themes and messages as the overall campaign.

Public relations. The Census Bureau used public meetings and the news media to inform the

public about the value of the census and to encourage response. Communications specialists were

assigned to each field office to perform media outreach, to respond to media inquiries, and to

coordinate the dissemination of the Census 2000 message. In many communities, the Census

Bureau established local broadcaster/news director committees to emphasize Census 2000 to

television viewers and radio listeners through broadcast segments and editorials in newspapers.

Paid advertising. The Census Bureau planned a targeted campaign to reach everyone through

ads in newspapers, magazines, billboards, posters, radio, and television. A private advertising

firm designed and implemented the Census 2000 advertising campaign. The Census Bureau

conducted a first-ever paid advertising campaign, including a national media campaign aimed at

increasing mail response. The campaign included advertising directed at raising mail response

rates among historically undercounted populations, with special messages targeted to

hard-to-enumerate populations. Advertising also focused on encouraging cooperation during the

nonresponse follow-up procedures.

Media public relations. The Census Bureau assigned media specialists to the regional census

centers to cultivate local press contacts and respond to local media inquiries.

Promotion and special events. A variety of special events, including parades, athletic events

and public services television documentaries were cosponsored by state, local, and tribal

governments and by community organizations and businesses to motivate people to respond.

More ways to respond. In 2000, in addition to mailing the census questionnaires, the Census

Bureau made the forms available in stores and malls, in civic or community centers, in schools,

and in other locations frequented by the public. A well-publicized, toll-free telephone number was

available for those who wished to respond to the census by telephone. People also had the option

to respond to the short form via the Internet.

Multiple languages. In 2000, as in all prior decennial censuses, questionnaires were in English

(the Census Bureau has made Spanish-language questionnaires available in the past). However, for

the first time in a decennial census, households had the option to request and receive

questionnaires in five other languages (Spanish, Chinese, Korean, Tagalog, and Vietnamese). In

addition, questionnaire assistance booklets were available in 49 languages.

3. Questionnaire Mailout/Mailback

In Census 2000, the questionnaire mailout/mailback system was the primary means of

census-taking, as it has been since 1970. The short form was delivered to approximately 83

percent of all housing units. The short form asked only the basic population and housing

questions, while the long form included additional questions on the characteristics of each person

and of the housing unit. The long form was delivered to a sample of approximately 17 percent of

all housing units.

USPS letter carriers delivered questionnaires to the vast majority of housing units that had

city-style addresses. In areas without such addresses, enumerators hand delivered addressed

census questionnaires to each housing unit. In very remote or sparsely populated areas,

enumerators visited each housing unit and picked up or completed unaddressed questionnaires

that the USPS previously delivered to each unit.

C–6 Data Collection and Processing Procedures

U.S. Census Bureau, Census 2000
4. Collecting Data on Populations Living in Nontraditional Households

During a decennial census, the Census Bureau not only counts people living in houses and

apartments, but also must count people who live in group quarters and other nontraditional

housing units, as well as people with no usual residence. These units include nursing homes,

group homes, college dormitories, migrant and seasonal farm worker camps, military barracks or

installations, American Indian reservations, and remote areas in Alaska.

Some of the methods that were used for these special populations are listed below:

• The Census Bureau designed an operation for Census 2000 called Service-Based Enumeration

(SBE) to improve the count of individuals who might not be included through standard

enumeration methods. The SBE operation was conducted in selected service locations, such as

shelters and soup kitchens, and at targeted outdoor locations.

• Another special operation counted highly transient individuals living at recreational vehicle

campgrounds and parks, commercial or public campgrounds, marinas, and even workers’

quarters at fairs and carnivals.

• The Census Bureau worked with tribal officials to select the appropriate data collection

methodologies for American Indian reservations.

• Remote areas of Alaska, often accessible only by small airplanes, snowmobiles, four

wheel-drive vehicles, or dogsleds, were enumerated beginning in mid-February. This special

timing permitted travel to these areas while conditions are most favorable.

• The Census Bureau worked with the Department of Defense and the U.S. Coast Guard to count

individuals living on military installations, and with the U.S. Maritime Administration to identify

maritime vessels for enumeration.

5. Collecting Long Form Data to Meet Federal Requirements

The census is the only data gathering effort that collects the same information from enough

people to get comparable data for every geographic area in the United States. The Census Bureau

has used the long form on a sample basis since 1940 to collect more data, while reducing overall

respondent burden. The Census 2000 long form asked questions addressing the same 7 subjects

that appeared on the short form, plus an additional 27 subjects which were either specifically

required by law to be included in the census or were required in order to implement other federal

programs.

6. Retrieving and Processing the Data From the Returned Forms

The Census Bureau contracted with the private sector to secure the best available data capture

technology. This technology allowed the Census Bureau to control, manage, and process Census

2000 data more efficiently.

The Census 2000 Data Capture System has been a complex network of operational controls and

processing routines. The Census Bureau recorded a full electronic image of many of the

questionnaires, sorted mail-return questionnaires automatically, used optical mark recognition for

all check-box items, and used optical character recognition to capture write-in character based

data items. The system allowed the Census Bureau to reduce the logistical burdens associated

with handling large volumes of paper questionnaires. Once forms were checked in, prepared, and

scanned, all subsequent operations were accomplished using the electronic image and data

capture.

7. Matching and Unduplication

One of the main goals of Census 2000 was to make it simpler for people to be counted by having

census forms available in public locations and providing multiple language translations.

Responses also were accepted over the telephone and, for the short form only, on the Internet.

These options made it easier for everyone to be counted, but increased the possibility of multiple

responses for a given person and household. Advances in computer technology in the areas of

computer storage, retrieval, and matching, along with image capture and recognition, gave the

Census Bureau the flexibility to provide multiple response options without incurring undue risk to

Data Collection and Processing Procedures C–7

U.S. Census Bureau, Census 2000
the accuracy of the resulting census data. Unduplication of multiple responses in past censuses

required massive clerical operations. Modern technology allowed the Census Bureau to spot and

eliminate multiple responses from the same household.

8. Geographic Database Development—TIGER®

The Census Bureau’s TIGER® (Topologically Integrated Geographic Encoding and Referencing)

system provided the geographic structure for the control of the data collection, tabulation, and

dissemination operations for Census 2000. The TIGER® system links each living quarter to a

spatial location, each location to a specific geographic area, and each geographic area to the

correct name or number and attributes. The database constantly changes; for example, when new

streets are built and the names and address ranges of existing streets change. To ensure that the

TIGER® database is complete and correct, the Census Bureau works with other federal agencies;

state, local and tribal governments; and other public and private groups to update both its

inventory of geographic features and its depiction of the boundaries, names, and attributes of the

various geographic entities for which the Census Bureau tabulates data.

The Census Bureau obtains updates to the features in the TIGER® system, including associated

address ranges, from its various address list improvement activities, from partnership efforts like

the Local Update of Census Addresses (LUCA) program, from digital files provided by some local

and tribal governments, and from local and tribal governments in response to a preview of the

census map of their jurisdictions.

As a part of updating the TIGER® system, the Census Bureau conducted boundary surveys in 1998

and 1999 to determine the boundaries that were in effect on January 1, 2000, which were the

official Census 2000 boundaries for functioning governments. The Census Bureau also relied on

other programs to update the TIGER® boundaries data, including a program that allowed local or

tribal officials to review proposed Census 2000 boundaries a program that allowed local and tribal

participants the opportunity to delineate Census 2000 participant statistical areas (block groups,

census county divisions, census designated places, and census tracts) and additional programs

that offered participants the opportunity to identify other areas for which the Census Bureau

would tabulate data (for example, traffic analysis zones).

9. Field Offices and Staffing

The Census Bureau opened a national network of temporary offices from which employees

collected and processed the data for Census 2000. Establishing the office network required, for

most offices, the leasing of office space, purchasing furniture and equipment, purchasing and

installing computer hardware and software, and establishing voice and data line connections. The

plan for the office structure included:

• 12 Regional Census Centers (RCCs). Through a network of Census Field Offices, the RCCs

managed all census field data collections operations, address listings, and address list

enhancement for city-style address areas; coordinated the LUCA program; produced maps;

updated TIGER®; worked with local participants in the Public Law 94−171 Redistricting Data

Program; and recruited temporary staff.

• 402 Census Field Offices (CFOs). Opened in September 1998, these offices helped with

address listing; conducted local recruiting; and performed clerical review of completed field

address listing work.

• 520 Local Census Offices (LCOs). These offices produced enumerator maps and

assignments; conducted local recruiting; conducted outreach and promotion; conducted group

quarters and service-based enumeration activities; conducted update/leave and list/enumerate

operations; conducted nonresponse follow-up, coverage improvement follow-up, and address

verifications; and performed the block canvass operations.

• 3 New Data Capture Centers (DCCs). These centers checked in mail returns, prepared

questionnaires, and conducted data capture.

• 1 National Processing Center (NPC). In addition to performing the functions of a Data

Processing Center, it processed address listing data and performed coding of questionnaire

data.

C–8 Data Collection and Processing Procedures

U.S. Census Bureau, Census 2000
To conduct a successful Census 2000, the Census Bureau recruited and tested hundreds of

thousands of applicants for a wide range of positions, such as local census office managers,

enumerators, partnership specialists, media specialists, and clerks. This required an extraordinary

recruiting effort throughout the country. Every job applicant was required to pass a written test

and was screened for criminal history. Applicants selected for employment had to take an oath of

office and sign an affidavit agreeing not to disclose census information.

Many factors converged to present the Census Bureau with unprecedented challenges in hiring,

retraining, and training the necessary employees for Census 2000. To address this challenge, the

Census Bureau implemented several new approaches:

• Innovative methods of setting pay and incentives.

• Expanding the potential labor force by working with other federal agencies and state agencies

to reduce barriers presented by various income transfer programs, and encouraging recipients

of these programs to work for the Census Bureau. Consistent with these efforts, the Census

Bureau hired more welfare-to-work employees than any other federal agency.

• Earlier and expanded training for enumerators.

10. Data Collection: Basic Enumeration Strategy

To ensure that the Census Bureau obtained a completed questionnaire from every household, or

as close to that as possible, the Census Bureau developed a ten-part, integrated enumeration

strategy.

• The first part of this strategy ensured that a questionnaire was delivered to every housing unit,

by one of three data collection methods:

• Mailout/mailback. U.S. Postal Service delivered questionnaires to every ‘‘city style’’

housing unit with a street name and house number.

• Update/leave. Census enumerators delivered questionnaires to housing units without

street names and house numbers to be mailed back, mainly in rural areas, and corrected and

updated the address list and maps for any additions or errors.

• List/enumerate. In remote and sparsely populated areas, enumerators visited every

housing unit and completed the enumeration as delivered.

• The second part of this strategy provided people with assistance, as needed, to complete and

return their questionnaires.

• Telephone questionnaire assistance (TQA). The Census Bureau operated a toll-free

TQA system, in English, Spanish, and several other languages, providing automated

touch-tone answers to common questions, personal operator answers to those requesting it,

and special service for the hearing impaired to assist them in completing a short form.

Callers also could request a questionnaire.

• Internet. Respondents were able to access an Internet Web site to both receive assistance

and, for short forms, submit their responses.

• Questionnaire assistance centers. The Census Bureau opened Walk-In Questionnaire

Assistance Centers in convenient locations to assist respondents with filling out

questionnaires in person. Bilingual staff was available in these centers.

• Questionnaire assistance guides. Questionnaire Assistance Guides were available in 49

languages.

• The third part of this strategy provided a means for people who believed they had not received

a questionnaire or were not included on one. Part of this operation was targeted to members of

historically undercounted groups. The major element of this operation was the distribution of

‘‘Be Counted Questionnaires.’’ The Census Bureau distributed these questionnaires at public

locations, such as Walk-In Questionnaire Assistance Centers and some public and private

facilities, staffed with bilingual competencies when appropriate. These forms were available in

English, Spanish, Korean, Chinese, Vietnamese, and Tagalog.

Data Collection and Processing Procedures C–9

U.S. Census Bureau, Census 2000
• The fourth part of this strategy was designed to enumerate people who did not live in traditional housing units, including group quarters situations, such as nursing homes and college

dormitories; people living in migrant farm worker camps, on boats, on military installations;

and federal employees living overseas. This part of the strategy was expanded further because

the Census 2000 Dress Rehearsal results indicated that, compared to 1990, many more people

did not live in traditional housing units.

• Group quarters enumeration. This operation identified the location of all group living

quarters and made advance visits to each group quarter. Census staff listed all residents in

April 2000 and distributed questionnaire packets.

• Transient night operation. Transient Night enumerated people living a mobile lifestyle

by visiting and interviewing people at racetracks, commercial or public campgrounds and

those for recreational vehicles, fairs and carnivals, and marinas.

• Remote Alaska enumeration. This operation sent out enumerators to deliver and complete questionnaires for people living in outlying or remote settlements in Alaska.

• Domestic military/maritime enumeration. The Census Bureau, in cooperation with the

Department of Defense and U.S. Coast Guard, identified living quarters and housing units on

military installations and ships assigned to a U.S. home port and used appropriate enumeration methods.

• Overseas enumeration. The Census Bureau, in cooperation with the Department of

Defense and other departments, counted federal employees assigned overseas (including

members of the armed forces) and their dependents, for apportionment purposes.

• The fifth part of this strategy targeted people with no usual residence or address. This operation was conducted at selective service locations, such as shelters and soup kitchens and nonsheltered outdoor locations.

• The sixth part of this strategy deployed special data collection methods to improve cooperation

and enumeration in certain hard-to-enumerate areas.

• Regional Census Centers used the planning database and their knowledge of local conditions

to identify appropriate areas for targeted methods. A team of enumerators then went to targeted areas, such as areas with high concentrations of multiunit buildings, safety concerns

or low enumerator production rates, and conducted team enumerations.

• Mail response rates and maps were available to local and tribal officials so they could work

with Census Bureau staff to identify low-response areas and implement additional outreach

and publicity efforts and targeted enumeration efforts.

• In partnership with local and tribal governments and community-based organizations, local

census offices established Walk-In Questionnaire Assistance Centers in locations, such as

community centers and large apartment buildings, to provide assistance in English, Spanish,

and other and foreign languages.

• The Be Counted Program made unaddressed questionnaires available in the Walk-In Assistance Centers and other locations.

• Letters were mailed to managers of large multiunit structures and gated communities informing them of upcoming census operations.

• In preidentified census blocks, census enumerators canvassed the blocks, updated the

address list, and delivered and completed census questionnaires for all housing units.

• In preidentified blocks originally classified as ‘‘Mailout/Mailback’’ areas, enumerators delivered the questionnaire and updated the address list (Urban Update/Leave).

• The seventh part of this strategy, coverage-edit and telephone follow-up, reviewed completed

questionnaires for potential missing, incomplete, or inconsistent data.

C–10 Data Collection and Processing Procedures

U.S. Census Bureau, Census 2000
• Coverage edit. The Census Bureau checked completed questionnaires for discrepancies

between the number of persons reported and the number of persons for whom information

was provided, forms returned where population count was blank, and forms for certain

households that contained complex living arrangements.

• Follow-up. Telephone clerks contacted and reinterviewed the households with

discrepancies identified after mail returns were data captured; field staff resolved

discrepancies found on enumerator returned questionnaires.

• Content edit. Computer operations identified missing or incomplete responses to

population or housing units and used statistical imputation to complete the information.

• The eighth part of this strategy, nonresponse follow-up (NRFU), was the effort to secure a

response in Census 2000 from every housing unit and resident. One hundred percent of

nonresponding households were followed up.

• In the initial period, the Census Bureau used reminder publicity urging people to return their

questionnaires.

• Following the period of mail response, nonresponding households were identified and listed.

• Enumerators visited all nonresponding addresses to obtain a completed questionnaire for

each household.

• In mailout/mailback areas, enumerators also followed up 100 percent of housing units

identified as nonexistent or vacant by the U.S. Postal Service.

• In update/leave areas, enumerators followed up 100 percent of housing units where the

Census Bureau was unable to deliver questionnaires.

• The Census Bureau conducted quality assurance checks of NRFU to ensure the completeness

and accuracy of the operations.

• The ninth part of strategy involved additional operations to improve the coverage of Census

2000.

• In mailout/mailback areas, enumerators revisited addresses for which questionnaires were

returned in NRFU reporting the housing unit as vacant or delete and which were not initially

identified by the U.S. Postal Service as undeliverable as addressed.

• In update/leave areas, enumerators revisited addresses for which a questionnaire was

returned as vacant or nonexistent in NRFU, but the questionnaire was not returned as

undeliverable during the update/leave operation.

• In both mailout/mailback and update/leave areas, mail returns checked in but not data

captured were rechecked and, if necessary, revisited.

• The tenth part of this strategy was unduplication, which involved reviewing and selecting

person information when more than one questionnaire data set was reported for a single

address. Dress Rehearsal results showed that the multiple ways in which people could respond

to the census increased the possibility of more than one response being submitted for a given

person or household. Automated matching technologies allowed the Census Bureau to resolve

situations where more than one form was received for an address.

11. Special Populations

American Indian and Alaska Native Areas and Hawaiian Home Lands

The Census Bureau based its strategy for enumerating the populations in the American Indian and

Alaska Native Areas (AIANAs) and Hawaiian home lands on building partnerships for:

• Address list development. The Census Bureau used U.S. Postal Service’s Delivery Sequence

Files in AIANAs and Hawaiian home lands where there were city-style addresses. In other areas,

the Census enumerators used the ‘‘update/leave’’ method where a form is left with the

respondent for return by mail. In more remote areas, the census enumerator actually delivered

the

Data Collection and Processing Procedures C–11

U.S. Census Bureau, Census 2000
form and conducted the census interview all in one visit. Tribal governments had an opportunity to participate in the LUCA program. The Census Bureau worked with tribal officials to select

the appropriate data collection methodology for each area.

• Geographic programs. There were many programs available to review and define

geographic areas (see Appendix A for more details).

• Marketing. Census Bureau staff and tribal liaisons compiled lists of available media for paid

advertising and promotion. The Census Bureau also enlisted the help of tribal liaisons and

locally established ‘‘Complete Count Committees’’ to assist with promotional activities.

• Field operations. The Census Bureau worked with tribal governments to assist in all levels of

field operations, including training local staff in cultural awareness, assisting in recruiting

efforts, and identifying locations for census questionnaire assistance centers.

• Data dissemination. While most data were processed in the same way as data for rest of the

nation, the Census Bureau worked with tribal governments to meet their data needs.

Puerto Rico

The Census 2000 operations in Puerto Rico were comparable to activities in the 50 states and the

District of Columbia. The Census Bureau worked in partnership with the government of Puerto

Rico to ensure that Census 2000 data met the federal legal requirements.

• Build partnerships at every stage of the process. The Census Bureau entered a

Memorandum of Agreement with the governor of Puerto Rico which outlined mutual roles and

responsibilities. In consultation with the government of Puerto Rico, census questionnaire

content was developed to meet the legislative and programmatic needs of Puerto Rico. A

separate advertisement and promotion campaign was conducted in Puerto Rico to build

awareness of the census and boost participation. Address list development allowed Puerto Rico

to participate in the LUCA program.

• Census questionnaires. Census questionnaires were readily available in Spanish and also in

English, if requested. In Puerto Rico, only update/leave method was used to distribute

questionnaires. However, questionnaires also were placed in Walk-In Questionnaire Assistance

Centers and other locations identified through consultation with local partners.

• Use of technology. The Census Bureau made use of the same technological advances that

were used in the United States. Many operations performed clerically in 1990 were automated.

Data users have access to Census 2000 data products through the Internet using the American

FactFinder (AFF) system. The AFF offers a separate user interface utilizing the Spanish language

for Census 2000 Puerto Rico data.

• Special techniques to improve coverage. The update/leave methodology for census data

collection was used for the first time in Puerto Rico. Census enumerators updated the Master

Address File for Puerto Rico while delivering questionnaires. Respondents had the opportunity

to complete the census questionnaires and return them by mail.

Island Areas

The Census Bureau conducted the Census 2000 operations in American Samoa, the

Commonwealth of the Northern Mariana Islands, Guam, and the U.S. Virgin Islands (collectively

referred to as the ‘‘Island Areas’’) in partnerships with the government of each area. These

partnerships ensured that Census 2000 data met federal legal requirements, as well as the

specific needs of each area. The Census 2000 operations in the Island Areas were built around the

following:

• Data collection. Data collection in the Island Areas used the list/enumerate method. This

decision was based on recommendations from Island Area representatives and an analysis of

the various data collection methodologies. Unlike stateside list/enumerate procedures, the

Census Bureau delivered Advance Census Reports before the list/enumerate operation and

asked respondents to complete the form and hold it for enumerator to pick up.

C–12 Data Collection and Processing Procedures

U.S. Census Bureau, Census 2000
• Build partnerships at every stage of the process. The Census Bureau developed and

signed a Memorandum of Agreement with the governor of each Island Area that outlined

mutual roles and responsibilities. In consultation with the governments of the Island Areas,

census questionnaire content was developed to meet the legislative and programmatic needs of

each Island Area. A separate advertisement and promotion campaign was developed for each

Island Area to build awareness of the census and boost participation.

• Census questionnaires. Census questionnaires and other forms were readily available to

respondents in convenient locations identified through consultation with local partners.

• Use of technology. The Census Bureau made greater use of the telephone to provide

assistance to respondents with questions about Census 2000. Data users have access to

Census 2000 data and products through the Internet using the American FactFinder system.

12. Telecommunications Support and Automated Data Processing

Using dedicated links and other secure lines, the Census 2000 telecommunications network linked

all census offices including: Census Headquarters in Suitland, Maryland, the 520 Local Census

Offices, the 12 Regional Census Offices, the 12 Regional Census Centers, the Puerto Rico Area

Office, the Maryland Computer Center in Bowie, the National Processing Center in Jeffersonville,

Indiana, and the three contracted Data Capture Centers (Phoenix, AZ, Pomona, CA, and Essex,

MD). The Census Bureau also established communication links with planned commercial

telephone centers to assist with the Telephone Questionnaire Assistance program and the

coverage edit follow-up program.

The use of electronic imaging reduced the logistical and staffing requirements of handling large

volumes of paper questionnaires. Some components of data capture were performed by

private-sector partners. The Census Bureau used commercially available advanced hardware and

software rather than limiting itself to creating in-house solutions.

The most significant features of the Data Capture System included (1) work divided among four

centers, (2) full electronic imaging and processing of questionnaires, (3) automated sorting of

mailed responses, (4) optical mark recognition for check-box data, (5) optical character

recognition for write-in data with automated processes to resolve difficult cases, and (6) quality

assurance checks.

13. Quality Assurance

To detect, correct, and minimize performance errors in critical census operations, the Census

Bureau developed individual quality assurance plans for all activities that could contribute to

errors in outcome, such as misprinted census forms, inaccurate maps or address lists, faulty

intelligent character recognition, inadequate training of enumerators, and miskeyed entries.

14. The Census 2000 Dress Rehearsal in 1998

A good dress rehearsal is crucial to a successful census, and the key to any dress rehearsal is

making it as much like the actual event as possible. The Census Bureau conducted Census 2000

Dress Rehearsal in three sites: Sacramento, California; Columbia, South Carolina along with 11

surrounding counties in north central South Carolina; and the Menominee American Indian

Reservation in northeastern Wisconsin.

Since the summer of 1996, the Census Bureau worked closely with local officials and

community-based organizations in each of the three sites to plan and build the various

infrastructures needed to ensure a successful dress rehearsal. These joint activities included

refining the geographic database, building and refining the address list, and working with

community and tribal organizations to plan effective outreach and promotion efforts. Also, the

Census Bureau recruited staff in all three sites to complete address list development and

verification.

The dress rehearsal allowed for a thorough demonstration of the most critical procedures for

Census 2000. These procedures included address list development; marketing and promotion;

and data collection, processing, and tabulation. The dress rehearsal plan also demonstrated the

use of statistical sampling in four major census operations: nonresponse follow-up, housing units

designated as undeliverable as addressed by the U.S. Postal Service, integrated coverage

measurement (ICM), and the long form survey.

Data Collection and Processing Procedures C–13

U.S. Census Bureau, Census 2000
15. Data Dissemination Through the Internet

The census provides a wealth of data that researchers, businesses, and government agencies are

eager to use. Taking advantage of modern computer and Internet capabilities, the Census Bureau

planned to make data from Census 2000 more readily available than any previous decennial

census data. The Census 2000 data are tabulated using the Data Products Production (DPP)

system and disseminated using the American FactFinder (AFF) system on the Internet, in addition

to CD-ROMs and DVDs. The AFF provides an interactive electronic system to allow data users to

access data products, documents, and online help, as well as to build custom data products.

The Census Bureau solicited the advice and recommendations of data users throughout the

planning, design, and testing stages of the AFF system (initially known as the Data Access and

Dissemination System (DADS)). The system is accessible to the widest possible array of users

through the Internet and all available intermediaries, including the nearly 1,800 data centers and

affiliates, the 1,400 Federal Depository libraries and other libraries, universities, and private

organizations. It also allows users to create customized products, such as tables, charts, graphs,

and maps for census geographic areas of their choice, and access metadata that provide

documentation and explanatory information for data subjects and geographic areas.

16. Evaluation and Preparation for 2010

After the completion of Census 2000, the Census Bureau plans to conduct a variety of post census

evaluation studies, as it has after all the previous censuses. These studies will help data users,

both within and outside the Census Bureau, to assess the data and plan for the 2010 Census. The

evaluation studies generally rely on demographic analysis, statistical methods, and ethnographic

analyses.

GLOSSARY

100-Percent Data

Information based on a limited number of basic population and housing questions collected from

both the short form and the long form for every inhabitant and housing unit in the United States.

100-Percent Edited Detail File (HEDF)

Files composed of individual records of information on people and housing units for the

100-percent census data items from the census questionnaires. Estimation is included in these

files. These files are used for tabulation purposes and are not released to the public.

Accuracy and Coverage Evaluation (A.C.E.)

The Accuracy and Coverage Evaluation (A.C.E.) is a survey designed to measure the

undercount/overcount of the census. The A.C.E. was designed to assess the size and

characteristics of the population missed or double-counted in Census 2000, similar to the

originally planned Integrated Coverage Measurement (ICM) Survey.

Advance Notice Letter/Reminder Card (ANL/RC)

These are part of the questionnaire mailing strategy. In every area except list/enumerate, the

Census Bureau sends an advance notice letter to every mailout address to alert households that

the census form will be sent to them soon. Reminder Card is a postcard that is sent to addresses

on the decennial Master Address File (see definition below) to remind respondents to return their

census questionnaires or to thank them if they already have. All addresses in mailout/mailback

areas receive a postcard. The Census Bureau also mails these postcards to postal patrons in

update/leave areas.

American FactFinder (AFF)

An electronic system for access and dissemination of Census Bureau data. The system is available

through the Internet and offers prepackaged data products and the ability to build custom

products. The system serves as the vehicle for accessing and disseminating data from Census

2000 (as well as economic censuses and the American Community Survey). The system was

formerly known as the Data Access and Dissemination System (DADS).

C–14 Data Collection and Processing Procedures

U.S. Census Bureau, Census 2000
Apportionment

Apportionment is the process of dividing up the 435 memberships, or seats, in the House of

Representatives among the 50 states. The Census Bureau has a dual responsibility in this

connection. It conducts the census at 10-year intervals. At the conclusion of each census, the

Census Bureau uses the results for calculating the number of House memberships each state is

entitled to have. The latter process is the initial use of the basic results of each census.

Be Counted Enumeration and Be Counted Form

The Be Counted enumeration procedure targets areas that are traditionally undercounted.

Unaddressed census questionnaires (Be Counted forms) are placed at selected sites where people

who believe they were not counted can pick them up, complete them, and mail them to the

Census Bureau. The sites are in targeted areas that local governments and community groups, in

conjunction with the Census Bureau, identify as traditionally undercounted.

Census 2000 Publicity Office (C2PO)

An office at the Census Bureau which developed, implemented, and coordinated an integrated

marketing program for Census 2000, including paid advertising, direct mail, public relations,

partnerships, and local outreach.

Census Address List Improvement Act of 1994

See Program for Address List Supplementation (PALS) below.

Census Edited File (CEF)

This file contains the 100-percent edited characteristics/records for all households and people in

the census. The edits include consistency edits and imputation for items or persons where the

data are insufficient. See descriptions for 100-percent data and census unedited file.

Census Information Center (CIC)

The Census Information Center Program (CIC) is the community-based component of the Census

Bureau’s data dissemination network. While census data are readily available on CD-ROM, the

Census Bureau’s Web site on the Internet, in its 12 Regional Offices, 1,400 Federal Depository

Libraries, and 1,800 state and local government agencies participating in the State Data Center

Program, the CICs provide access to local communities that might not have access through these

traditional channels. CIC’s goal is to provide efficient access to Census Bureau data and data

products to organizations representing populations that have been traditionally undercounted in

censuses and surveys.

Census Unedited File (CUF)

A file created by merging the control file for the decennial master address file with the decennial

response file of unedited data after the primary selection algorithm has been applied. This file

contains the final housing unit and person counts. It is used to generate apportionment data as

well as related ‘‘raw’’ or unedited census data.

Computer-Assisted Personal Interview (CAPI)

A method of data collection consisting of the interviewer asking questions displayed on a laptop

computer screen and entering the answers directly into the computer.

Computer-Assisted Telephone Interviewing (CATI)

A method of data collection using telephone interviews in which the questions to be asked are

displayed on a computer screen and responses are entered directly into the computer.

Data Collection and Processing Procedures C–15

U.S. Census Bureau, Census 2000
Confidentiality

The guarantee made by law (Title 13, United States Code) to individuals who provide census

information regarding nondisclosure of that information to others.

Confidentiality Edit

The name for the Census 2000 disclosure avoidance procedure.

Coverage Edit/Coverage Edit Follow-Up (CEFU)

An edit performed on the mailback census response universe. Census staff make telephone calls

to resolve forms that are incomplete or have other coverage discrepancies, such as a difference

between the number of people reported in that household and the number of people for whom

census information was provided on the form. This edit includes the large household follow-up.

Coverage Improvement Adjustment

This phrase was included in the table outlines and the technical documentation before the review,

analysis, and recommendation on whether to adjust Census 2000 data for coverage improvement

was completed. As the data are not adjusted, a zero (0) will appear. This phrase does not refer to

any other outreach or collection operations which were introduced to improve coverage in Census

2000.

Coverage Improvement Follow-Up (CIFU)

A procedure for the traditional census in which housing units with conflicting status information

are followed up.

Data Access and Dissemination System (DADS)

The system is now known as the American FactFinder (AFF).

Data Capture Center (DCC)

A decentralized facility that checks in questionnaires returned by mail, creates images of all

questionnaire pages, and converts data to computer readable format. The DCCs also perform

other computer processing activities, including automated questionnaire edits, work flow

management, and data storage. There is one permanent DCC, the National Processing Center in

Jeffersonville, Indiana. For Census 2000, the Census Bureau set up three temporary DCCs. The

temporary facilities were provided and operated by a private contractor through the Data Capture

Services contract.

Data Capture System 2000 (DCS 2000)

The DCS 2000 is a data capture system that is used to capture information from census forms. For

Census 2000, this system processed more than 150 million incoming forms, digitally captured

and processed billions of bits of information on the forms, converted automatically the image of

the form to text-based data, and edited/repaired data that the system was unable to decipher

automatically.

Decennial Census

The census of population and housing, taken by the Census Bureau in years ending in 0 (zero).

Article I of the Constitution requires that a census be taken every 10 years for the purpose of

reapportioning the U.S. House of Representatives.

Decennial Master Address File (DMAF)

The decennial version of the Master Address File has features for controlling and tracking the

long- and short-term operations and programs of the Census 2000. The DMAF contains the

processing status information to support document mailouts; data capture progress control,

tracking, and reporting; and field enumeration processes (notably follow-ups). The DMAF is

limited to addresses that the Census Bureau has successfully linked to the TIGER® database. See

Master Address File.

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U.S. Census Bureau, Census 2000
Decennial Response File (DRF)

Contains every response to the census from all sources. The primary selection algorithm is

applied to this file to unduplicate people between multiple returns for a housing unit and to

determine the housing unit record and the people to include at the housing unit. The DRF is then

combined with the Decennial Master Address File to create the census unedited file (CUF).

Delivery Sequence File (DSF)

A computerized file containing all delivery point addresses serviced by the U.S. Postal Service

(USPS). The USPS updates the DSF continuously as its letter carriers identify addresses for new

delivery points or changes in the status of existing addresses.

Demographic Analysis (DA)

A method the Census Bureau uses to measure coverage at the national level. It differs from survey

coverage estimates, such as Post-Enumeration Survey, Integrated Coverage Measurement, or

Accuracy and Coverage Evaluation, in that it does not rely on case-by-case matching of census

records. To produce an estimate of the total population, DA relies on administrative records to

provide estimates of births, deaths, immigration, and emigration. DA provides estimates on the

national level only.

Derived Measures

Census data products include various derived measures, such as medians, means, and

percentages, as well as certain rates and ratios. Derived measures that round to less than 0.1 are

normally indicated as 0.

Disclosure Avoidance (DA)

Statistical methods used in the tabulation of data prior to releasing data products to ensure the

confidentiality of responses.

Dual-System Estimation (DSE)

The estimation methodology used for the Accuracy and Coverage Evaluation (A.C.E.). This

operation uses a geographic sample of block clusters to find people missed by the census or

A.C.E. and any errors from the census. The information is then processed using computer

matching, clerical matching, and field follow-up to resolve discrepancies.

Family

A group of two or more people who reside together and who are related by birth, marriage, or

adoption.

Geocoding

A code assigned to identify a geographic entity; to assign an address (such as housing unit,

business, industry, farm) to the full set of geographic code(s) applicable to the location of that

address on the surface of Earth.

Group Quarters

A facility where people live that is not a typical household-type living arrangement. The Census

Bureau classifies all individuals not living in households as living in group quarters. There are two

types of group quarters institutional (for example, correctional facilities, nursing homes, and

mental hospitals) and noninstitutional (for example, college dormitories, military bases and ships,

hotels, motels, rooming houses, group homes, missions, shelters, and flophouses).

Heterogeneity

Heterogeneity occurs when blocks of housing units assigned to sampling strata or groupings are

not similar in terms of the likelihood of being included or missed by the census. Heterogeneity

creates difficulty for the small area estimation process because the correction factor gets applied

to all people with the specified characteristic in that sampling poststratum, even through some of

them do not actually have the coverage characteristics.

Data Collection and Processing Procedures C–17

U.S. Census Bureau, Census 2000
Homogeneity

The assumption of homogeneity expects that all people in a particular sampling stratum or

grouping will be very much alike in terms of their likelihood of being included or missed by the

census. The grouping of people in a particular stratum is called poststratum, such as all White,

non-Hispanic male renters ages 18-22 in a rural area. A lack of homogeneity in a particular sample

block is not an error, but it does create difficulty for the small area estimation process. This

happens because the correction factor gets applied to all people with the specified characteristic

in that poststratum, even though some of them do not exhibit the same coverage characteristics.

Household

Household refers to all of the people who occupy a housing unit.

Housing Unit

A housing unit is a house, an apartment, a mobile home or trailer, a group of rooms, or a single

room occupied as a separate living quarters, or if vacant, intended for occupancy as a separate

living quarters. Separate living quarters are those in which the occupants live separately from any

other individuals in the building and which have direct access from outside the building or

through a common hall. For vacant units, the criteria of separateness and direct access are applied

to the intended occupants whenever possible.

Imputation

When information is missing or inconsistent, the Census Bureau uses a method called imputation

to assign values. Imputation relies on the statistical principle of ‘‘homogeneity,’’ or the tendency of

households within a small geographic area to be similar in most characteristics. For example, the

value of ‘‘rented’’ is likely to be imputed for a housing unit not reporting on owner/renter status in

a neighborhood with multiunits or apartments where other respondents reported ‘‘rented’’ on the

census questionnaire. In past censuses, when the occupancy status or the number of residents

was not known for a housing unit, this information was imputed.

Internet Questionnaire Assistance (IQA) An operation which allows respondents to use the

Census Bureau’s Internet site to (1) ask questions and receive answers about the census form, job

opportunities, or the purpose of the census and (2) provide responses to the short form.

Interpolation Interpolation frequently is used in calculating medians or quartiles based on

interval data and in approximating standard errors from tables. Linear interpolation is used to

estimate values of a function between two known values. Pareto interpolation is an alternative to

linear interpolation. In Pareto interpolation, the median is derived by interpolating between the

logarithms of the upper and lower income limits of the median category. It is used by the Census

Bureau in calculating median income within intervals wider than $2,500.

List/Enumerate

A method of data collection in which temporary field staff, called enumerators, list each

residential address, spot the location of each on a census map, and interview the residents of the

household during a single visit. This completes the census address list for these areas and

provides the information needed to update the TIGER® database and Master Address File (see

definitions below).

Local Update of Census Addresses (LUCA)

A Census 2000 program, established in response to requirements of P. L. 103-430. It provided an

opportunity for state, local, and tribal governments to review and update individual address

information in the Master Address File and associated geographic information in the TIGER®

database before using the addresses for questionnaire delivery. This improved the completeness

and accuracy of both computer files and the census.

C–18 Data Collection and Processing Procedures

U.S. Census Bureau, Census 2000
Long Form

The decennial census questionnaire, sent to approximately one in six households, contains all

questions on the short form, as well as additional detailed questions relating to the social,

economic, and housing characteristics of each individual and household. Information derived from

the long form is referred to as sample data and is tabulated for geographic entities as small as the

block group level.

Mailout/Mailback (MO/MB)

A method of data collection in which the U.S. Postal Service delivers addressed questionnaires to

residents who are asked to complete and mail back the questionnaire to the appropriate Census

Bureau office. This method is used for more than 80 percent of all households (usually with

city-style addresses).

Master Address File (MAF)

A computer file based on a combination of the addresses in the 1990 census address file and

current versions, supplemented by address information provided by state, local, and tribal

governments. The MAF is continually updated to provide a basis for creating the Census 2000

address list, the address list for the American Community Survey, and the address list for the

Census Bureau’s other demographic surveys.

Metadata

Information about the content, quality, condition, and other characteristics of data.

Microdata

Nonaggregated data about the units sampled. For surveys of individuals, microdata contain

records for each individual interviewed; for surveys of organizations, the microdata contain

records for each organization.

Nongovernment Organization

The partnerships developed during Census 2000 planning include national and local

organizations and community groups that are not governmental entities.

Nonresponse Follow-up

A census follow-up operation in which temporary field staff, known as enumerators, visit

addresses from which no response was received.

Nonsampling Error

Errors that occur during the measuring or data collection process. Nonsampling errors can be the

most serious types of errors because they yield biased results when most of the errors distort the

results in the same direction. Unfortunately, the full extent of nonsampling error is unknown.

Decennial censuses traditionally have experienced nonsampling errors, most notably undercount,

resulting from people being missed in the enumeration processes.

Optical Character Recognition (OCR)

Technology that uses an optical scanner and computer software to ‘‘read’’ human handwriting.

Optical Mark Recognition (OMR)

Technology that uses an optical scanner and computer software to scan a page, recognize the

presence of marks in predesignated areas, and assign a value to the mark depending on its

specific location and intensity on a page.

Data Collection and Processing Procedures C–19

U.S. Census Bureau, Census 2000
Poststratum

Information about the current occupants of each housing unit in the Accuracy and Coverage

Evaluation (A.C.E.) survey found during the A.C.E. interview is used to form groupings called

‘‘poststrata.’’ This information, including the age of respondent, current owner/renter status, etc.,

is used to form homogeneous groupings and improve the estimation process. By contrast, the

initial A.C.E. strata are formed using aggregate information about each block as of the 1990

census.

Primary Selection Algorithm (PSA)

Computer program applied to the decennial response file (DRF) to eliminate duplicate responses

and to determine the housing unit record and the people to include at the housing unit. After this

procedure, the DRF is merged with the Decennial Master Address File to create the census

unedited file.

Program for Address List Supplementation (PALS)

A program providing all governmental units and regional and metropolitan agencies the

opportunity to submit lists of individual addresses for their community to the Census Bureau for

use in building the MAF. Ongoing submissions and feedback between the Census Bureau and local

governments on this program, enabled by the Census Address List Improvement Act of 1994 (P.L.

103-430) help ensure the completeness and accuracy of the Master Address File and the TIGER®

database.

Public Law (P.L.) 94-171

Public Law (P.L.) 94-171, enacted in 1975, directs the Census Bureau to make special preparations

to provide redistricting data needed by the 50 states. Within a year following Census Day, the

Census Bureau must send the data agreed upon to redraw districts for the state legislature to each

state’s governor and majority and minority legislative leaders.

To meet this legal requirement, the Census Bureau set up a voluntary program that enables

participating states to receive data for voting districts (e.g., election precincts, wards, state house,

and senate districts) in addition to standard census geographic areas, such as counties, cities,

census tracts, and blocks.

Public Law (P.L.) 103-430

Public Law (P.L.) 103-430, enacted in 1994, amends Title 13, United States Code, to allow

designated local and tribal officials access to the address information in the Master Address File to

verify its accuracy and completeness. This law also requires the U.S. Postal Service to provide its

address information to the Census Bureau to improve the Master Address File.

Public Law (P.L.) 105-119

Public Law (P.L.) 105-119, enacted in 1997, directs the Census Bureau to make publicly available a

second version of Census 2000 data that does not include the corrections for overcounts and

undercounts measured in the Accuracy and Coverage Evaluation (A.C.E.). The format, timing,

geographic levels, and price of the P.L. 94-171 and these data are identical.

Public Use Microdata Area (PUMA)

An area that defines the extent of territory for which the Census Bureau tabulates public use

microdata sample (PUMS) data.

Public Use Microdata Sample (PUMS)

Hierarchical files containing small samples (5% and 1%) of individual records from the census long

form showing characteristics of the housing units and people included on those forms.

C–20 Data Collection and Processing Procedures

U.S. Census Bureau, Census 2000
Quality Assurance (QA)

Quality assurance represents a broad philosophy and specific procedures that are designed to

build quality into the system, constantly improve the system, and integrate responsibility for

quality with production.

Questionnaire Mailing Strategy

For Census 2000, an advance notice letter, a questionnaire, and a reminder/thank you postcard

were sent to every mailout address.

Reapportionment

The redistribution of seats in the U.S. House of Representatives among several states on the basis

of the most recent decennial census as required by Article 1, Section 2 of the Constitution. See

apportionment and redistricting.

Redistricting

The process of revising the geographic boundaries of areas from which people elect

representatives to the U.S. Congress, a state legislature, a county or city council, a school board,

and the like to meet the legal requirement that such areas be as equal in population as possible

following a census. See apportionment and reapportionment.

Sample Census Edited File (SCEF)

A file containing 100-percent and sample characteristics for housing units and people in the long

form sample. Processing for the SCEF includes merging the results of industry and occupation

coding and place of work and migration coding, coding several other items, and weighting the

long forms.

Sample Edited Detail File (SEDF)

A file containing 100-percent and sample characteristics for housing units and people in the long

form sample. The file is used for tabulation purposes only and is not released to the public.

Sampling Error

Errors that occur because only a part of the population is being contacted directly. With any

sample, differences are likely to exist between the characteristics of the sampled population and

the larger group from which the sample was chosen. However, sampling error, unlike nonsampling

error, is readily measured.

Sampling Stratum

A sampling stratum, as used in the A.C.E., is a grouping or classification that has a similar set of

characteristics, based on the 1990 census. For example, one might define a stratum as all blocks

in large central cities with a 1990 census population that was 30 percent or more Black renters.

Scanner

Equipment used to capture images from documents for the purpose of entering the information

into an electronic format. For Census 2000, scanners replaced some keying operations.

Seasonal/Recreational/Occasional Use

A housing unit held for occupancy only during limited portions of the year, such as a beach

cottage, ski cabin, or time-share condominium.

Data Collection and Processing Procedures C–21

U.S. Census Bureau, Census 2000
Separate Living Quarters

Those living quarters in which the occupants live separately from any other individual in the

building and which have direct access from outside the building or through a common hall. For

vacant units, the criteria of separateness and direct access are applied to the intended occupants

whenever possible.

Service-Based Enumeration (SBE)

An operation designed to enumerate people at facilities where they might receive services, such

as shelters, soup kitchens, healthcare facilities, and other selected locations. This operation

targets the types of services that primarily serve people who have no usual residence.

Service Locations

Locations where clients are enumerated during the service-based enumeration operation, such as

emergency or transitional shelters, soup kitchens, regularly scheduled mobile food vans, and

targeted nonsheltered outdoor locations.

Short Form

The decennial census questionnaire, sent to approximately 5 of 6 households, that contains

population questions related to household relationship, age, sex, relationship, race, Hispanic

origin, and tenure (i.e., whether home is owned or rented). The questions contained on the short

form also are asked, along with additional questions, on the long form.

Simplified Enumerator Questionnaire (SEQ)

A questionnaire that enumerators use for transient, or T-night, enumeration and when conducting

the nonresponse follow-up after the decennial census.

Soup Kitchens

Includes soup kitchens, food lines, and programs distributing prepared breakfasts, lunches, or

dinners. These programs may be organized as food service lines, bag or box lunches, or tables

where people are seated, then served by program personnel. These programs may or may not

have a place for clients to sit and eat the meal. These are service locations.

Special Place

An institution that includes facilities where people live or stay other than the usual house,

apartment, or mobile home. Examples are colleges and universities, nursing homes, hospitals,

and prisons. Often the facilities that house people are group quarters, but they may include

standard houses or apartments as well.

Special Place Facility Questionnaire (SPFQ)

A questionnaire used to interview an official at a special place for the purpose of

collecting/updating address information for the special place and any associated group quarters

and housing units, determining the type of special place/group quarters, and collecting additional

administrative information about each group quarters at the special place.

State Data Center (SDC)

A state agency or university facility identified by the governor of each state and state equivalent

to participate in the Census Bureau’s cooperative network for the dissemination of census data.

SDCs also provide demographic data to local agencies participating in the Census Bureau’s

statistical areas programs and assist the Census Bureau in the delineation and identification of

statistical areas.

C–22 Data Collection and Processing Procedures

U.S. Census Bureau, Census 2000
Summary File (SF)

A series of census summary tabulations of 100-percent and sample population and housing data

available for public use on CD-ROM and the Internet. In 1990, these files were available on

computer tapes and, as a result, were known as summary tape files (STF).

Summary Table

A collection of one or more data elements that are classified into some logical structure either as

dimensions or data points.

Tabulation Block

A physical block that does not have any legal or statistical boundaries passing through it; or each

portion of a physical block after the Census Bureau recognizes any legal or statistical boundaries

that pass through it.

Targeted Nonsheltered Outdoor Location (TNSOL)

A geographically identifiable outdoor location open to the elements where there is evidence that

people might be living without paying and who also do not usually receive services at soup

kitchens, shelters, and mobile food vans. These sites must have a specific location description

that allows a census enumeration team to physically locate the site and excludes pay-for-use

campgrounds, drop-in centers, post offices, hospital emergency rooms, and commercial sites

(including all-night theaters and all-night diners).

Telephone Questionnaire Assistance (TQA)

A toll-free service that was provided by a commercial phone center to answer questions about

Census 2000 and the Census 2000 questionnaire and to take interviews from people who prefer

to be interviewed over the telephone.

Thematic Map

A map that reveals the geographic patterns in statistical data.

Title 13 (United States Code)

The law under which the Census Bureau operates and that guarantees the confidentiality of

census information and establishes penalties for disclosing this information.

Topologically Integrated Geographic Encoding and Referencing (TIGER®)

A computer database that contains a digital representation of all census-required map features

(streets, roads, rivers, railroads, lakes, and so forth), the related attributes for each (street names,

address ranges, etc.), and the geographic identification codes for all entities used by the Census

Bureau to tabulate data for the United States, Puerto Rico, and the Island Areas. The TIGER®

database records the interrelationships among these features, attributes, and geographic codes

and provides a resource for the production of maps, entity headers for data tabulations, and

automated assignment of addresses to a geographic location in a process known as ‘‘geocoding.’’

Transient Night (T-Night)/T-Night Enumeration (TNE)

A method of enumeration in which Census Bureau staff enumerate people at transient locations,

such as campgrounds at race tracks, recreational vehicle campgrounds or parks, commercial or

public campgrounds, fairs and carnivals, and marinas. Enumerators conduct a personal interview

using Simplified Enumerator Questionnaire. No vacant units are generated by this operation.

Type of Enumeration Area (TEA)

A classification identifying how the Census Bureau takes the decennial census of a geographic

area. Examples of TEAs include (1) the area inside the ‘‘blue line’’ - this is the mailout/mailback

and urban update/leave operations area, (2) address listing areas, (3) list/enumerate areas, and (4)

remote areas of Alaska.

Data Collection and Processing Procedures C–23

U.S. Census Bureau, Census 2000
Urban Update/Leave (UU/L)

Update/leave procedures are used in targeted urban areas where mail delivery may be a problem,

such as an apartment building where the mail carrier may leave the forms in a common area.

Enumerators deliver census questionnaires for residents to complete and mail back, update the

address register, and update the census maps.

Usual Home Elsewhere (UHE)

A housing unit that is temporarily occupied by a person(s) who has a usual home elsewhere.

Usual Residence

The living quarters where a person spends more nights during a year than any other place.

Voting District (VTD)

Any of a variety of areas, such as election districts, precincts, legislative districts, or wards,

established by states and local governments for voting purposes.

Whole Household Usual Home Elsewhere (WHUHE)

See Usual Home Elsewhere.

C–24 Data Collection and Processing Procedures

U.S. Census Bureau, Census 2000
Questionnaire D–1

U.S. Census Bureau, Census 2000

U.S. Department of Commerce

Bureau of the Census DC

This is the official form for all the people at this address.

It is quick and easy, and your answers are protected by

law. Complete the Census and help your community get

what it needs — today and in the future!

OMB No. 0607-0856: Approval Expires 12/31/2000

Start Here Please use a black or

blue pen.

How many people were living or staying in this house,

apartment, or mobile home on April 1, 2000?

Number of people

1

Please turn the page and print the names of all the

people living or staying here on April 1, 2000.

INCLUDE in this number:

• foster children, roomers, or housemates

• people staying here on April 1, 2000 who

have no other permanent place to stay

• people living here most of the time while

working, even if they have another place to live

DO NOT INCLUDE in this number:

• college students living away while 

attending college

• people in a correctional facility, nursing home,

or mental hospital on April 1, 2000

• Armed Forces personnel living somewhere else

• people who live or stay at another place most 

of the time

The Census Bureau estimates that, for the average household, this form will take about 

38 minutes to complete, including the time for reviewing the instructions and answers.

Comments about the estimate should be directed to the Associate Director for Finance and

Administration, Attn: Paperwork Reduction Project 0607-0856, Room 3104, Federal 

Building 3, Bureau of the Census, Washington, DC 20233.

Respondents are not required to respond to any information collection unless it displays a

valid approval number from the Office of Management and Budget.

Form D-2

➜

If you need help completing this form, call 1–800–471–9424 between 8:00 a.m. and

9:00 p.m., 7 days a week. The telephone call is free.

TDD – Telephone display device for the hearing impaired. Call 1–800–582–8330 between

8:00 a.m. and 9:00 p.m., 7 days a week. The telephone call is free.

¿NECESITA AYUDA? Si usted necesita ayuda para completar este cuestionario llame al

1–800–471–8642 entre las 8:00 a.m. y las 9:00 p.m., 7 días a la semana. La llamada

telefónica es gratis.

Appendix D.

Questionnaire
D–2 Questionnaire

U.S. Census Bureau, Census 2000

Person 8 — Last Name

Example — Last Name

First Name MI

➜

2 Please print the names of all the people who you

indicated in question 1 were living or staying here

on April 1, 2000.

Start with the person, or one of the people living

here who owns, is buying, or rents this house,

apartment, or mobile home. If there is no such

person, start with any adult living or staying here.

Person 1 — Last Name

First Name

Person 2 — Last Name

First Name

Person 3 — Last Name

First Name

Person 4 — Last Name

First Name

J

R

J

Person 9 — Last Name

First Name

First Name

Person 11 — Last Name

First Name

Person 12 — Last Name

First Name

Person 5 — Last Name

Person 6 — Last Name

Person 7 — Last Name

O H N S O

O B I N

N

MI

MI

MI

MI

Person 10 — Last Name

MI

MI

MI

MI

First Name

First Name

First Name

First Name

MI

MI

MI

MI

Next, answer questions about Person 1.

Form D-2

2

List of Persons

➜ Please be sure you answered question 1 on the front

page before continuing.

FOR OFFICE USE ONLY

A. JIC1 B. JIC2 C. JIC3 D. JIC4
Questionnaire D–3

U.S. Census Bureau, Census 2000

What is this person’s race? Mark one or

more races to indicate what this person considers

himself/herself to be.

1 What is this person’s name? Print the name of

Person 1 from page 2.

6

Person

1 Your answers

are important!

Every person in the

Census counts.

Male

Last Name

First Name MI

What is this person’s telephone number? We may

contact this person if we don’t understand an answer.

2

Area Code + Number

- -

3 What is this person’s sex? Mark ONE box.

Female

What is this person’s age and what is this person’s

date of birth?

4

Age on April 1, 2000

Month

➜ NOTE: Please answer BOTH Questions 5 and 6.

No, not Spanish /Hispanic /Latino

Is this person Spanish/Hispanic /Latino? Mark 

the "No" box if not Spanish /Hispanic /Latino.

5

Yes, Mexican, Mexican Am., Chicano

Yes, Puerto Rican

Yes, Cuban

Yes, other Spanish /Hispanic /Latino — Print group.

Day Year of birth

White

Black, African Am., or Negro

American Indian or Alaska Native — Print name

of enrolled or principal tribe.

Native Hawaiian

Guamanian or

Chamorro

Samoan

Other Pacific

Islander — 

Print race.

Asian Indian

Chinese

Filipino

Japanese

Korean

Vietnamese

Other Asian — Print race.

Some other race — Print race.

7 What is this person’s marital status?

Now married

Widowed

Divorced

Separated

Never married

a. At any time since February 1, 2000, has this

person attended regular school or college?

Include only nursery school or preschool,

kindergarten, elementary school, and schooling which

leads to a high school diploma or a college degree.

8

No, has not attended since February 1 → Skip to 9

Yes, public school, public college

Yes, private school, private college

3

Form D-2

Print numbers in boxes.

2043 

✗

✗

✗
D–4 Questionnaire

U.S. Census Bureau, Census 2000

No, outside the United States — Print name of

foreign country, or Puerto Rico, Guam, etc., below;

then skip to 16.

8

Year

Form D-2

4

11

Nursery school, preschool

b. What grade or level was this person attending? 

Mark ONE box.

Kindergarten

Grade 1 to grade 4

Grade 5 to grade 8

Grade 9 to grade 12

College undergraduate years (freshman to senior)

Graduate or professional school (for example: medical,

dental, or law school)

9 What is the highest degree or level of school

this person has COMPLETED? Mark ONE box.

If currently enrolled, mark the previous grade or highest

degree received.

No schooling completed

Nursery school to 4th grade

5th grade or 6th grade

7th grade or 8th grade

9th grade

10th grade

11th grade

Some college credit, but less than 1 year

12th grade, NO DIPLOMA

HIGH SCHOOL GRADUATE — high school DIPLOMA

or the equivalent (for example: GED)

1 or more years of college, no degree

Associate degree (for example: AA, AS)

Bachelor’s degree (for example: BA, AB, BS)

Master’s degree (for example: MA, MS, MEng, MEd,

MSW, MBA)

Professional degree (for example: MD, DDS, DVM,

LLB, JD)

Doctorate degree (for example: PhD, EdD)

10 What is this person’s ancestry or ethnic origin?

(For example: Italian, Jamaican, African Am., Cambodian,

Cape Verdean, Norwegian, Dominican, French Canadian,

Haitian, Korean, Lebanese, Polish, Nigerian, Mexican,

Taiwanese, Ukrainian, and so on.)

a. Does this person speak a language other than

English at home?

Yes

No → Skip to 12

b. What is this language?

(For example: Korean, Italian, Spanish, Vietnamese)

c. How well does this person speak English?

Very well

Well

Not well

Not at all

12 Where was this person born?

In the United States — Print name of state.

Outside the United States — Print name of foreign

country, or Puerto Rico, Guam, etc.

13 Is this person a CITIZEN of the United States?

Yes, born in the United States → Skip to 15a

Yes, born in Puerto Rico, Guam, the U.S. Virgin Islands,

or Northern Marianas

Yes, born abroad of American parent or parents

Yes, a U.S. citizen by naturalization

No, not a citizen of the United States

When did this person come to live in the

United States? Print numbers in boxes.

14

15

Person is under 5 years old → Skip to 33

Yes, this house → Skip to 16

No, different house in the United States

a. Did this person live in this house or apartment

5 years ago (on April 1, 1995)?

Person 1 (continued)

✗

✗
Questionnaire D–5

U.S. Census Bureau, Census 2000

15 b. Where did this person live 5 years ago? 19 a. Does this person have any of his/her own

grandchildren under the age of 18 living in this

house or apartment?

Yes

Name of city, town, or post office

5

Did this person live inside the limits of the

city or town?

No, outside the city/town limits

Name of county

Name of state

ZIP Code

16 Does this person have any of the following

long-lasting conditions:

a. Blindness, deafness, or a severe

vision or hearing impairment?

b. A condition that substantially limits

one or more basic physical activities

such as walking, climbing stairs,

reaching, lifting, or carrying?

Yes No

17 Because of a physical, mental, or emotional

condition lasting 6 months or more, does

this person have any difficulty in doing any of

the following activities:

a. Learning, remembering, or

concentrating?

Yes No

b. Dressing, bathing, or getting around

inside the home?

c. (Answer if this person is 16 YEARS OLD

OR OVER.) Going outside the home

alone to shop or visit a doctor’s office?

d. (Answer if this person is 16 YEARS OLD

OR OVER.) Working at a job or business?

18 Was this person under 15 years of age on

April 1, 2000?

Yes → Skip to 33

No

Yes

No → Skip to 20a

b. Is this grandparent currently responsible for

most of the basic needs of any grandchild(ren)

under the age of 18 who live(s) in this house

or apartment?

Yes

No → Skip to 20a

c. How long has this grandparent been responsible

for the(se) grandchild(ren)? If the grandparent is

financially responsible for more than one grandchild, answer

the question for the grandchild for whom the grandparent

has been responsible for the longest period of time.

Less than 6 months

6 to 11 months

1 or 2 years

3 or 4 years

5 years or more

20 a. Has this person ever served on active duty in

the U.S. Armed Forces, military Reserves, or

National Guard? Active duty does not include training

for the Reserves or National Guard, but DOES include

activation, for example, for the Persian Gulf War.

Yes, now on active duty

Yes, on active duty in past, but not now

No, training for Reserves or National 

Guard only → Skip to 21

No, never served in the military → Skip to 21

b. When did this person serve on active duty 

in the U.S. Armed Forces? Mark a box for

EACH period in which this person served.

April 1995 or later

Some other time

World War II (September 1940—July 1947)

Korean conflict (June 1950—January 1955)

February 1955 to July 1964

Vietnam era (August 1964—April 1975)

May 1975 to August 1980

September 1980 to July 1990

August 1990 to March 1995 (including Persian Gulf War)

c. In total, how many years of active-duty military

service has this person had?

Less than 2 years

2 years or more

Person 1 (continued)

2045  Form D-2

✗
D–6 Questionnaire

U.S. Census Bureau, Census 2000

LAST WEEK, did this person do ANY work for

either pay or profit? Mark the "Yes" box even if the

person worked only 1 hour, or helped without pay in a

family business or farm for 15 hours or more, or was on

active duty in the Armed Forces.

Form D-2

6

21

Yes

Yes → Skip to 25c

No

Drove alone

At what location did this person work LAST

WEEK? If this person worked at more than one location,

print where he or she worked most last week.

Car, truck, or van

Motorcycle

Worked at home → Skip to 27

Other method

b. How many people, including this person,

usually rode to work in the car, truck, or van

LAST WEEK?

4 people

a. What time did this person usually leave home

to go to work LAST WEEK?

a. How did this person usually get to work LAST

WEEK? If this person usually used more than one method

of transportation during the trip, mark the box of the

one used for most of the distance.

No → Skip to 25a

22

a. Address (Number and street name)

(If the exact address is not known, give a description

of the location such as the building name or the nearest

street or intersection.)

b. Name of city, town, or post office

c. Is the work location inside the limits of that

city or town?

Yes

No, outside the city/town limits

d. Name of county

e. Name of U.S. state or foreign country

f. ZIP Code

23

Walked

Bicycle

Taxicab

Ferryboat

Railroad

Subway or elevated

Streetcar or trolley car

Bus or trolley bus

23

➜ If "Car, truck, or van" is marked in 23a, go to 23b.

Otherwise, skip to 24a.

7 or more people

5 or 6 people

3 people

2 people

24

.

. a.m. p.m.

b. How many minutes did it usually take this

person to get from home to work LAST WEEK?

➜ Answer questions 25–26 for persons who did not

work for pay or profit last week. Others skip to 27.

a. LAST WEEK, was this person on layoff from

a job?

25

Minutes

Yes, on vacation, temporary illness, labor

dispute, etc. → Skip to 26

No → Skip to 25d

b. LAST WEEK, was this person TEMPORARILY

absent from a job or business?

Yes → Skip to 25e

No

c. Has this person been informed that he or she

will be recalled to work within the next 6 months

OR been given a date to return to work?

Yes

No → Skip to 26

d. Has this person been looking for work during

the last 4 weeks?

Yes, could have gone to work

e. LAST WEEK, could this person have started a

job if offered one, or returned to work if recalled?

No, because of own temporary illness

No, because of all other reasons (in school, etc.)

1995 to 2000

1994 or earlier, or never worked → Skip to 31

When did this person last work, even for a

few days?

26

Person 1 (continued)

✗

✗
Questionnaire D–7

U.S. Census Bureau, Census 2000

27 29

c. Is this mainly — Mark ONE box.

a. For whom did this person work? If now on

active duty in the Armed Forces, mark this box →

and print the branch of the Armed Forces.

Industry or Employer — Describe clearly this person’s

chief job activity or business last week. If this person had

more than one job, describe the one at which this person

worked the most hours. If this person had no job or

business last week, give the information for his/her last job

or business since 1995.

Was this person — Mark ONE box.

Manufacturing?

7

Annual amount — Dollars

Weeks

b. What kind of business or industry was this? 

Describe the activity at location where employed. (For

example: hospital, newspaper publishing, mail order

house, auto repair shop, bank)

Wholesale trade?

Retail trade?

Other (agriculture, construction, service,

government, etc.)?

28 Occupation

a. What kind of work was this person doing?

(For example: registered nurse, personnel manager,

supervisor of order department, auto mechanic, accountant)

b. What were this person’s most important

activities or duties? (For example: patient care,

directing hiring policies, supervising order clerks, repairing

automobiles, reconciling financial records)

Employee of a PRIVATE-FOR-PROFIT company or

business or of an individual, for wages, salary, or

commissions

Employee of a PRIVATE NOT-FOR-PROFIT,

tax-exempt, or charitable organization

Local GOVERNMENT employee (city, county, etc.)

State GOVERNMENT employee

Federal GOVERNMENT employee

SELF-EMPLOYED in own NOT INCORPORATED

business, professional practice, or farm

SELF-EMPLOYED in own INCORPORATED business,

professional practice, or farm

Working WITHOUT PAY in family business or farm

30 a. LAST YEAR, 1999, did this person work at a

job or business at any time?

Yes

No → Skip to 31

b. How many weeks did this person work in 1999?

Count paid vacation, paid sick leave, and military service.

Usual hours worked each WEEK

c. During the weeks WORKED in 1999, how many

hours did this person usually work each WEEK?

31 INCOME IN 1999 — Mark the "Yes" box for each

income source received during 1999 and enter the total

amount received during 1999 to a maximum of $999,999.

Mark the "No" box if the income source was not

received. If net income was a loss, enter the amount and

mark the "Loss" box next to the dollar amount.

For income received jointly, report, if possible, the

appropriate share for each person; otherwise, report

the whole amount for only one person and mark 

the "No" box for the other person. If exact amount is

not known, please give best estimate.

a. Wages, salary, commissions, bonuses, or tips

from all jobs — Report amount before deductions for

taxes, bonds, dues, or other items.

Yes

$ , .00

No

Person 1 (continued)

Name of company, business, or other employer

Annual amount — Dollars

b. Self-employment income from own nonfarm

businesses or farm businesses, including

proprietorships and partnerships — Report NET

income after business expenses.

Yes

$ , .00 Loss

No

2047  Form D-2

✗

✗

✗

✗

✗

✗

✗
D–8 Questionnaire

U.S. Census Bureau, Census 2000

Form D-2

8

31

33

Now, please answer questions 33—53 about

your household.

Owned by you or someone in this household with a

mortgage or loan?

c. Interest, dividends, net rental income, royalty

income, or income from estates and trusts — Report

even small amounts credited to an account.

Yes Annual amount — Dollars

$ , .00 Loss

No

d. Social Security or Railroad Retirement

Yes Annual amount — Dollars

No

e. Supplemental Security Income (SSI)

Yes Annual amount — Dollars

No

f. Any public assistance or welfare payments

from the state or local welfare office

Yes Annual amount — Dollars

No

g. Retirement, survivor, or disability pensions —

Do NOT include Social Security.

Yes Annual amount — Dollars

$ , .00

No

h. Any other sources of income received regularly

such as Veterans’ (VA) payments, unemployment

compensation, child support, or alimony — Do NOT

include lump-sum payments such as money from an

inheritance or sale of a home.

Yes Annual amount — Dollars

$ , .00

No

32 What was this person’s total income in 1999? Add

entries in questions 31a—31h; subtract any losses. If net

income was a loss, enter the amount and mark the

"Loss" box next to the dollar amount.

Annual amount — Dollars

None OR $ , .00 Loss

Owned by you or someone in this household free and

clear (without a mortgage or loan)?

Rented for cash rent?

Occupied without payment of cash rent?

Is this house, apartment, or mobile home —

➜

34

A mobile home

Which best describes this building? Include all

apartments, flats, etc., even if vacant.

A one-family house detached from any other house

A one-family house attached to one or more houses

A building with 2 apartments

A building with 3 or 4 apartments

A building with 5 to 9 apartments

A building with 10 to 19 apartments

A building with 20 to 49 apartments

A building with 50 or more apartments

Boat, RV, van, etc.

35 About when was this building first built?

1999 or 2000

1990 to 1994

1980 to 1989

1970 to 1979

1960 to 1969

1950 to 1959

1940 to 1949

1939 or earlier

When did this person move into this house,

apartment, or mobile home?

36

1999 or 2000

1995 to 1998

1990 to 1994

1980 to 1989

1970 to 1979

1969 or earlier

How many rooms do you have in this house,

apartment, or mobile home? Do NOT count bathrooms,

porches, balconies, foyers, halls, or half-rooms.

37

1 room

2 rooms

3 rooms

6 rooms

7 rooms

8 rooms

4 rooms

5 rooms

9 or more rooms

Person 1 (continued)

1995 to 1998

$ , .00

$ , .00

$ , .00

✗
Questionnaire D–9

U.S. Census Bureau, Census 2000

38 How many bedrooms do you have; that is, how

many bedrooms would you list if this house,

apartment, or mobile home were on the market

for sale or rent?

44 Answer ONLY if this is a ONE-FAMILY HOUSE

OR MOBILE HOME — All others skip to 45.

No bedroom

9

1 bedroom

2 bedrooms

3 bedrooms

4 bedrooms

5 or more bedrooms

39 Do you have COMPLETE plumbing facilities in this

house, apartment, or mobile home; that is, 1) hot

and cold piped water, 2) a flush toilet, and 3) a

bathtub or shower?

Yes, have all three facilities

No

40 Do you have COMPLETE kitchen facilities in this

house, apartment, or mobile home; that is,

1) a sink with piped water, 2) a range or stove,

and 3) a refrigerator?

Yes, have all three facilities

No

41 Is there telephone service available in this house,

apartment, or mobile home from which you can

both make and receive calls?

Yes

No

42 Which FUEL is used MOST for heating this house,

apartment, or mobile home?

Gas: from underground pipes serving

the neighborhood

Gas: bottled, tank, or LP

43 How many automobiles, vans, and trucks of

one-ton capacity or less are kept at home for use

by members of your household?

None

1

Electricity

Fuel oil, kerosene, etc.

Coal or coke

Wood

Solar energy

Other fuel

No fuel used

2

3

4

5

6 or more

a. Is there a business (such as a store or barber

shop) or a medical office on this property?

Yes

No

b. How many acres is this house or mobile

home on?

Less than 1 acre → Skip to 45

1 to 9.9 acres

10 or more acres

c. In 1999, what were the actual sales of all

agricultural products from this property?

None

$1 to $999

$1,000 to $2,499

$2,500 to $4,999

$5,000 to $9,999

$10,000 or more

45 What are the annual costs of utilities and fuels for

this house, apartment, or mobile home? If you have

lived here less than 1 year, estimate the annual cost.

a. Electricity

Annual cost — Dollars

$ , .00

OR

Included in rent or in condominium fee

No charge or electricity not used

b. Gas

Annual cost — Dollars

Included in rent or in condominium fee

No charge or gas not used

c. Water and sewer

Annual cost — Dollars

Included in rent or in condominium fee

No charge

d. Oil, coal, kerosene, wood, etc.

Annual cost — Dollars

Included in rent or in condominium fee

No charge or these fuels not used

, .00

, .00

, .00

OR

OR

OR

Person 1 (continued)

2049  Form D-2

$

$

$
D–10 Questionnaire

U.S. Census Bureau, Census 2000

a. Do you have a second mortgage or a home

equity loan on THIS property? Mark all boxes

that apply.

➜

Form D-2

10

Yes

Answer ONLY if you PAY RENT for this house,

apartment, or mobile home — All others skip to 47.

Are there more people living here? If yes,

continue with Person 2.

Yes

No

No

46

,

Monthly amount — Dollars

a. What is the monthly rent?

$ .00

b. Does the monthly rent include any meals?

Answer questions 47a—53 if you or someone

in this household owns or is buying this house,

apartment, or mobile home; otherwise, skip to

questions for Person 2.

47

a. Do you have a mortgage, deed of trust, contract

to purchase, or similar debt on THIS property?

Yes, mortgage, deed of trust, or similar debt

Yes, contract to purchase

No → Skip to 48a

b. How much is your regular monthly mortgage

payment on THIS property? Include payment only on

first mortgage or contract to purchase.

,

Monthly amount — Dollars

$ .00

OR

No regular payment required → Skip to 48a

c. Does your regular monthly mortgage payment

include payments for real estate taxes on THIS

property?

Yes, taxes included in mortgage payment

No, taxes paid separately or taxes not required

d. Does your regular monthly mortgage payment

include payments for fire, hazard, or flood

insurance on THIS property?

Yes, insurance included in mortgage payment

No, insurance paid separately or no insurance

48

Yes, a second mortgage

Yes, a home equity loan

No → Skip to 49

b. How much is your regular monthly payment on

all second or junior mortgages and all home equity

loans on THIS property?

,

Monthly amount — Dollars

$ .00

OR

No regular payment required

What were the real estate taxes on THIS property last

year?

49

,

Yearly amount — Dollars

$ .00

OR

None

What was the annual payment for fire, hazard,

and flood insurance on THIS property?

50

,

Annual amount — Dollars

$ .00

OR

None

What is the value of this property; that is,

how much do you think this house and lot,

apartment, or mobile home and lot would sell

for if it were for sale?

51

Less than $10,000

$10,000 to $14,999

$15,000 to $19,999

$20,000 to $24,999

$25,000 to $29,999

$30,000 to $34,999

$35,000 to $39,999

$40,000 to $49,999

$50,000 to $59,999

$60,000 to $69,999

$70,000 to $79,999

$80,000 to $89,999

$90,000 to $99,999

$100,000 to $124,999

$125,000 to $149,999

$150,000 to $174,999

$175,000 to $199,999

$200,000 to $249,999

$250,000 to $299,999

$300,000 to $399,999

$400,000 to $499,999

$500,000 to $749,999

$750,000 to $999,999

$1,000,000 or more

52 Answer ONLY if this is a CONDOMINIUM —

What is the monthly condominium fee?

,

Monthly amount — Dollars

$ .00

53 Answer ONLY if this is a MOBILE HOME —

a. Do you have an installment loan or contract

on THIS mobile home?

b. What was the total cost for installment loan

payments, personal property taxes, site rent,

registration fees, and license fees on THIS mobile

home and its site last year? Exclude real estate taxes.

,

Yearly amount — Dollars

$ .00

Person 1 (continued)

✗
Questionnaire D–11

U.S. Census Bureau, Census 2000

What is this person’s race? Mark one or

more races to indicate what this person considers

himself/herself to be.

1 What is this person’s name? Print the name of

Person 2 from page 2.

6

Person

Male

Last Name

First Name MI

3 What is this person’s sex? Mark ONE box.

Female

What is this person’s age and what is this person’s

date of birth?

4

Age on April 1, 2000

Month

➜ NOTE: Please answer BOTH Questions 5 and 6.

No, not Spanish /Hispanic /Latino

Is this person Spanish/Hispanic /Latino? Mark the

"No" box if not Spanish /Hispanic /Latino.

5

Yes, Mexican, Mexican Am., Chicano

Yes, Puerto Rican

Yes, Cuban

Yes, other Spanish /Hispanic /Latino — Print group.

Day Year of birth

White

Black, African Am., or Negro

American Indian or Alaska Native — Print name of

enrolled or principal tribe.

Native Hawaiian

Guamanian or

Chamorro

Samoan

Other Pacific

Islander —

Print race.

Asian Indian

Chinese

Filipino

Japanese

Korean

Vietnamese

Other Asian — Print race.

Some other race — Print race.

7 What is this person’s marital status?

Now married

Widowed

Divorced

Separated

Never married

11

Census information 

helps your community 

get financial assistance 

for roads, hospitals, 2 schools and more.

Husband /wife

Natural-born son/daughter

Adopted son/daughter

Stepson /stepdaughter

Brother /sister

Father/mother

Grandchild

Parent-in-law

Son-in-law /daughter-in-law

Roomer, boarder

Housemate, roommate

Unmarried partner

Foster child

Other nonrelative

If NOT RELATED to Person 1:

Other relative — Print exact relationship.

2 How is this person related to Person 1? 

Mark ONE box.

Form D-2

Print numbers in boxes.

2051 

✗

✗

✗

✗
D–12 Questionnaire

U.S. Census Bureau, Census 2000

No, outside the United States — Print name of

foreign country, or Puerto Rico, Guam, etc., below;

then skip to 16.

Year

Form D-2

12

11

Nursery school, preschool

b. What grade or level was this person attending? 

Mark ONE box.

Kindergarten

Grade 1 to grade 4

Grade 5 to grade 8

Grade 9 to grade 12

College undergraduate years (freshman to senior)

Graduate or professional school (for example:

medical, dental, or law school)

9 What is the highest degree or level of school

this person has COMPLETED? Mark ONE box.

If currently enrolled, mark the previous grade or

highest degree received.

No schooling completed

Nursery school to 4th grade

5th grade or 6th grade

7th grade or 8th grade

9th grade

10th grade

11th grade

Some college credit, but less than 1 year

12th grade, NO DIPLOMA

HIGH SCHOOL GRADUATE — high school DIPLOMA

or the equivalent (for example: GED)

1 or more years of college, no degree

Associate degree (for example: AA, AS)

Bachelor’s degree (for example: BA, AB, BS)

Master’s degree (for example: MA, MS, MEng,

MEd, MSW, MBA)

Professional degree (for example: MD, DDS, DVM,

LLB, JD)

Doctorate degree (for example: PhD, EdD)

10 What is this person’s ancestry or ethnic origin?

(For example: Italian, Jamaican, African Am., Cambodian,

Cape Verdean, Norwegian, Dominican, French Canadian,

Haitian, Korean, Lebanese, Polish, Nigerian, Mexican,

Taiwanese, Ukrainian, and so on.)

a. Does this person speak a language other than

English at home?

Yes

No → Skip to 12

b. What is this language?

(For example: Korean, Italian, Spanish, Vietnamese)

c. How well does this person speak English?

Very well

Well

Not well

Not at all

12 Where was this person born?

In the United States — Print name of state.

Outside the United States — Print name of foreign

country, or Puerto Rico, Guam, etc.

13 Is this person a CITIZEN of the United States?

Yes, born in the United States → Skip to 15a

Yes, born in Puerto Rico, Guam, the U.S. Virgin Islands,

or Northern Marianas

Yes, born abroad of American parent or parents

Yes, a U.S. citizen by naturalization

No, not a citizen of the United States

When did this person come to live in the

United States? Print numbers in boxes.

14

15

Person is under 5 years old → Skip to 33

Yes, this house → Skip to 16

No, different house in the United States

a. Did this person live in this house or apartment

5 years ago (on April 1, 1995)?

Person 2 (continued)

a. At any time since February 1, 2000, has this

person attended regular school or college? Include

only nursery school or preschool, kindergarten, elementary

school, and schooling which leads to a high school

diploma or a college degree.

8

No, has not attended since February 1 → Skip to 9

Yes, public school, public college

Yes, private school, private college

✗

✗
Questionnaire D–13

U.S. Census Bureau, Census 2000

15 b. Where did this person live 5 years ago? 19 a. Does this person have any of his/her own

grandchildren under the age of 18 living in this

house or apartment?

Yes

Name of city, town, or post office

13

Did this person live inside the limits of the

city or town?

No, outside the city/town limits

Name of county

Name of state

ZIP Code

16 Does this person have any of the following

long-lasting conditions:

a. Blindness, deafness, or a severe

vision or hearing impairment?

b. A condition that substantially limits

one or more basic physical activities

such as walking, climbing stairs,

reaching, lifting, or carrying?

Yes No

17 Because of a physical, mental, or emotional

condition lasting 6 months or more, does

this person have any difficulty in doing any of

the following activities:

a. Learning, remembering, or

concentrating?

Yes No

b. Dressing, bathing, or getting around

inside the home?

c. (Answer if this person is 16 YEARS OLD

OR OVER.) Going outside the home

alone to shop or visit a doctor’s office?

d. (Answer if this person is 16 YEARS OLD

OR OVER.) Working at a job or business?

18 Was this person under 15 years of age on

April 1, 2000?

Yes → Skip to 33

No

Yes

No → Skip to 20a

b. Is this grandparent currently responsible for

most of the basic needs of any grandchild(ren)

under the age of 18 who live(s) in this house

or apartment?

Yes

No → Skip to 20a

c. How long has this grandparent been responsible

for the(se) grandchild(ren)? If the grandparent is

financially responsible for more than one grandchild, answer

the question for the grandchild for whom the grandparent

has been responsible for the longest period of time.

Less than 6 months

6 to 11 months

1 or 2 years

3 or 4 years

5 years or more

20 a. Has this person ever served on active duty in

the U.S. Armed Forces, military Reserves, or

National Guard? Active duty does not include training

for the Reserves or National Guard, but DOES include

activation, for example, for the Persian Gulf War.

Yes, now on active duty

Yes, on active duty in past, but not now

No, training for Reserves or National 

Guard only → Skip to 21

No, never served in the military → Skip to 21

b. When did this person serve on active duty

in the U.S. Armed Forces? Mark a box for

EACH period in which this person served.

April 1995 or later

Some other time

World War II (September 1940—July 1947)

Korean conflict (June 1950—January 1955)

February 1955 to July 1964

Vietnam era (August 1964—April 1975)

May 1975 to August 1980

September 1980 to July 1990

August 1990 to March 1995 (including Persian Gulf War)

c. In total, how many years of active-duty military

service has this person had?

Less than 2 years

2 years or more

Person 2 (continued)

2053  Form D-2

✗
D–14 Questionnaire

U.S. Census Bureau, Census 2000

LAST WEEK, did this person do ANY work for

either pay or profit? Mark the "Yes" box even if the

person worked only 1 hour, or helped without pay in a

family business or farm for 15 hours or more, or was on

active duty in the Armed Forces.

Form D-2

14

21

Yes

Yes → Skip to 25c

No

Drove alone

At what location did this person work LAST

WEEK? If this person worked at more than one location,

print where he or she worked most last week.

Car, truck, or van

Motorcycle

Worked at home → Skip to 27

Other method

b. How many people, including this person,

usually rode to work in the car, truck, or van

LAST WEEK?

4 people

a. What time did this person usually leave home

to go to work LAST WEEK?

a. How did this person usually get to work LAST

WEEK? If this person usually used more than one method

of transportation during the trip, mark the box of the

one used for most of the distance.

No → Skip to 25a

22

a. Address (Number and street name)

(If the exact address is not known, give a description

of the location such as the building name or the nearest

street or intersection.)

b. Name of city, town, or post office

c. Is the work location inside the limits of that

city or town?

Yes

No, outside the city/town limits

d. Name of county

e. Name of U.S. state or foreign country

f. ZIP Code

23

Walked

Bicycle

Taxicab

Ferryboat

Railroad

Subway or elevated

Streetcar or trolley car

Bus or trolley bus

23

➜ If "Car, truck, or van" is marked in 23a, go to 23b.

Otherwise, skip to 24a.

7 or more people

5 or 6 people

3 people

2 people

24

.

. a.m. p.m.

b. How many minutes did it usually take this

person to get from home to work LAST WEEK?

➜ Answer questions 25–26 for persons who did not

work for pay or profit last week. Others skip to 27.

a. LAST WEEK, was this person on layoff from

a job?

25

Minutes

Yes, on vacation, temporary illness, labor

dispute, etc. → Skip to 26

No → Skip to 25d

b. LAST WEEK, was this person TEMPORARILY

absent from a job or business?

Yes → Skip to 25e

No

c. Has this person been informed that he or she

will be recalled to work within the next 6 months

OR been given a date to return to work?

Yes

No → Skip to 26

d. Has this person been looking for work during

the last 4 weeks?

Yes, could have gone to work

e. LAST WEEK, could this person have started a

job if offered one, or returned to work if recalled?

No, because of own temporary illness

No, because of all other reasons (in school, etc.)

1995 to 2000

1994 or earlier, or never worked → Skip to 31

When did this person last work, even for a

few days?

26

Person 2 (continued)

✗

✗
Questionnaire D–15

U.S. Census Bureau, Census 2000

27 29

c. Is this mainly — Mark ONE box.

a. For whom did this person work? If now on

active duty in the Armed Forces, mark this box →

and print the branch of the Armed Forces.

Industry or Employer — Describe clearly this person’s

chief job activity or business last week. If this person had

more than one job, describe the one at which this person

worked the most hours. If this person had no job or

business last week, give the information for his/her last job

or business since 1995.

Was this person — Mark ONE box.

Manufacturing?

15

Annual amount — Dollars

Weeks

b. What kind of business or industry was this? 

Describe the activity at location where employed. (For

example: hospital, newspaper publishing, mail order

house, auto repair shop, bank)

Wholesale trade?

Retail trade?

Other (agriculture, construction, service,

government, etc.)?

28 Occupation

a. What kind of work was this person doing? (For

example: registered nurse, personnel manager, supervisor

of order department, auto mechanic, accountant)

b. What were this person’s most important

activities or duties? (For example: patient care,

directing hiring policies, supervising order clerks, repairing

automobiles, reconciling financial records)

Employee of a PRIVATE-FOR-PROFIT company or

business or of an individual, for wages, salary, or

commissions

Employee of a PRIVATE NOT-FOR-PROFIT, tax-exempt,

or charitable organization

Local GOVERNMENT employee (city, county, etc.)

State GOVERNMENT employee

Federal GOVERNMENT employee

SELF-EMPLOYED in own NOT INCORPORATED

business, professional practice, or farm

SELF-EMPLOYED in own INCORPORATED

business, professional practice, or farm

Working WITHOUT PAY in family business or farm

30 a. LAST YEAR, 1999, did this person work at a job

or business at any time?

Yes

No → Skip to 31

b. How many weeks did this person work in 1999?

Count paid vacation, paid sick leave, and military service.

Usual hours worked each WEEK

c. During the weeks WORKED in 1999, how many

hours did this person usually work each WEEK?

31

a. Wages, salary, commissions, bonuses, or tips

from all jobs — Report amount before deductions for

taxes, bonds, dues, or other items.

Yes

$ , .00

No

Person 2 (continued)

Annual amount — Dollars

b. Self-employment income from own nonfarm

businesses or farm businesses, including

proprietorships and partnerships — Report NET

income after business expenses.

Yes

$ , .00 Loss

No

Name of company, business, or other employer

2055  Form D-2

✗

✗

✗

INCOME IN 1999 — Mark the "Yes" box for each

income source received during 1999 and enter the total

amount received during 1999 to a maximum of $999,999.

Mark the "No" box if the income source was not

received. If net income was a loss, enter the amount and

mark the "Loss" box next to the dollar amount.

For income received jointly, report, if possible, the

appropriate share for each person; otherwise, report

the whole amount for only one person and mark 

the "No" box for the other person. If exact amount is

not known, please give best estimate.

✗

✗

✗

✗
D–16 Questionnaire

U.S. Census Bureau, Census 2000

Form D-2

16

31 c. Interest, dividends, net rental income, royalty

income, or income from estates and trusts — Report

even small amounts credited to an account.

Yes Annual amount — Dollars

$ , .00 Loss

No

d. Social Security or Railroad Retirement

Yes Annual amount — Dollars

No

e. Supplemental Security Income (SSI)

Yes Annual amount — Dollars

No

f. Any public assistance or welfare payments

from the state or local welfare office

Yes Annual amount — Dollars

No

g. Retirement, survivor, or disability pensions —

Do NOT include Social Security.

Yes Annual amount — Dollars

$ , .00

No

h. Any other sources of income received regularly

such as Veterans’ (VA) payments, unemployment

compensation, child support, or alimony — Do NOT

include lump-sum payments such as money from an

inheritance or sale of a home.

Yes Annual amount — Dollars

$ , .00

No

32 What was this person’s total income in 1999? Add

entries in questions 31a—31h; subtract any losses. If net

income was a loss, enter the amount and mark the

"Loss" box next to the dollar amount.

Annual amount — Dollars

None OR $ , .00 Loss

Person 2 (continued)

1 What is this person’s name? Print the name of

Person 3 from page 2.

Male

Last Name

First Name MI

3 What is this person’s sex? Mark ONE box.

Female

What is this person’s age and what is this

person’s date of birth?

4

Age on April 1, 2000

Month Day Year of birth

Information about

children helps your

community plan for

child care, education,

and recreation.

Husband /wife

Natural-born son/daughter

Adopted son/daughter

Stepson /stepdaughter

Brother /sister

Father/mother

Grandchild

Parent-in-law

Son-in-law /daughter-in-law

Roomer, boarder

Housemate, roommate

Unmarried partner

Foster child

Other nonrelative

If NOT RELATED to Person 1:

Other relative — Print exact relationship.

2

Are there more people living here? If yes,

continue with Person 3.

33

How is this person related to Person 1? 

Mark ONE box.

$ , .00

$ , .00

$ , .00

Print numbers in boxes.

Person

3

✗

✗

✗
Appendix E.

Data Products and User Assistance

Page

Census 2000 Data Products..................................................................... E–1

Census 2000 Maps and Geographic Products .................................................. E–3

Reference Materials.............................................................................. E–4

Sources of Assistance ........................................................................... E–4

CENSUS 2000 DATA PRODUCTS

The decennial census yields a wealth of data, which have virtually unlimited applications. A comprehensive data program offers census information on the Internet, in electronic media (CDROM/DVD), and in print. A complete list of Census 2000 data products, with their release status,

is available at http://www.census.gov/population/www/censusdata/c2kproducts.html.

Detailed results of Census 2000 are contained in a series of five files called summary files. These

can be accessed through the Internet and on CD-ROM or DVD. In addition, three series of reports

derived from these files are available in print and in Portable Document Format (PDF) on the Internet.

Internet and CD-ROM/DVD Products

Census 2000 data are available at several locations on the Census Burau’s Web site. The Census

2000 Gateway page provides links to Census 2000 data, information, and reference materials. It is

accessed from the Census Bureau’s home page (www.census.gov) or at

http://www.census.gov/main/www/cen2000.html. Links from the Gateway page include American FactFinder®; State and County QuickFacts; other prepared Census 2000 tables, including rankings and comparisons; reference materials; user updates; and Census in the Schools.

American Factfinder (factfinder2.census.gov) is the most comprehensive source of Census 2000

data, providing all summary file tables for all levels of census geography. Quick tables (single

geography tables) and geographic comparison tables (data for more than one geographic area) are

also available on American FactFinder

Most Census 2000 tabulations are also available on CD-ROM and/or DVD. Viewing software is

included on the DVDs and most CDs. These may be ordered by phone through the Census

Bureau’s Customer Services Center on 301-763-4636, or via e-commerce by selecting Catalog

from the Census Bureau’s home page. For more information on the products and ordering options,

access the Census Catalog’s product order form at https://catalog.mso.census.gov .

Census 2000 Redistricting Data (Public Law 94-171) Summary File. The first Census

2000 data files released are the information required for local redistricting. The data include tabulations of 63 race categories, cross-tabulated by Hispanic or Latino and not Hispanic or Latino for

the total population and the population 18 years old and over. These tabulations are presented for

areas as small as blocks, census tracts, and voting districts. They are available through the

Internet (American FactFinder) and as a CD-ROM series (state files). In American FactFinder

(factfinder2.census.gov), all redistricting data tables are available by selecting Data Sets on the

FactFinder main page. FactFinder also has one quick table and one geographic comparison table

based on this file.

Summary File 1 (SF 1). This file presents counts and basic cross-tabulations of information

collected from all people and housing units. This information includes age, sex, race, Hispanic or

Latino origin, household relationship, and whether the residence is owned or rented. Data are

available down to the block level for many tabulations, but only to the census-tract level for others. Summaries are included for other geographic areas, such as ZIP Code® Tabulation Areas

Data Products and User Assistance E–1

U.S. Census Bureau, Census 2000
(ZCTAsTM) and Congressional Districts (106th Congress). There are individual state files and two

national files in this series. The final national file provides the first available urban and rural data.

The complete Summary File 1 is available on the Internet (American FactFinder) and on

CD-ROM/DVD.

Additional tables derived from this summary file are also available on the Census Bureau’s Internet

site. These can be located through the Census 2000 Gateway page at

http://www.census.gov/main/www/cen2000.html. Related products include a demographic profile that provides a snapshot of the geographic area, quick tables, geographic comparison tables,

and two printed report series, Summary Population and Housing Characteristics (PHC-1) and Population and Housing Unit Counts (PHC-3).

Summary File 2 (SF 2). This file presents data similar to the information included in Summary

File 1, but the tables in this file are iterated for a selected list of race and Hispanic or Latino categories and for American Indian and Alaska Native tribes. These data are shown down to the census tract level for up to 250 race and ethnic categories that meet a specified minimum population

size threshold of 100 in a geographic area. The complete SF 2 is available on the Internet (American FactFinder) and on CD-ROM/DVD. American FactFinder also offers various quick tables and

geographic comparison tables derived from SF 2.

Summary File 3 (SF 3). This file is the first release of the information collected on a sample

basis. It includes data on income, educational attainment, poverty status, home value, and population totals for foreign born and ancestry groups. Data are provided down to the block group

level for many tabulations but only down to the census tract for others. SF 3 also includes data by

ZCTAs and Congressional Districts (106th Congress).

Data for each state and a national file are available on the American Factfinder and on

CD-ROM/DVD. Related products include a three-page demographic profile available on the Internet, various quick tables and geographic comparison tables available through American Factfinder, and a printed report series, Summary Social, Economic, and Housing Characteristics

(PHC-2).

Summary File 4 (SF 4). This file includes tabulations of the population and housing data collected from a sample of the population. Just as in Summary File 2, the tables in SF 4 are iterated

for a selected list of race and Hispanic or Latino origin groups and for American Indian and Alaska

Native tribes. Tables are also iterated for 86 ancestry groups. SF 4 is available on the Internet

(American FactFinder) and on CD-ROM/DVD. American FactFinder also offers various quick tables

and geographic comparison tables derived from Summary File 4.

Microdata. Microdata products allow users to prepare their own customized tabulations and

cross tabulations of most population and housing subjects, using specially prepared microdata

files. These files are the actual responses to census questionnaires, but with names or addresses

removed and the geography sufficiently broad to protect confidentiality. Microdata are available

on CD-ROM/DVD and may be available for query via the Internet.

Public Use Microdata Sample (PUMS) Files. There are two PUMS files: a 1-percent sample for

developing tabulations for metropolitan areas and a 5-percent sample that provides tabulations

for state and substate areas. Both files are available on CD-ROM/DVD.

Advanced Query Function. Tabulations can be prepared online using the full database of individual responses, subject to restrictions and filters required to protect the confidentiality of individual responses. The Internet availability of this function is subject to policy decisions on access

and confidentiality.

Printed Reports and Profiles

There are three series of printed reports with one report per state and a national summary volume. These reports are sold through the U.S. Government Printing Office. Much of the information

in these series is available earlier in other data products. For release and ordering information, see

the Census Catalog (https://catalog.mso.census.gov/).

E–2 Data Products and User Assistance

U.S. Census Bureau, Census 2000
Profiles and other data tables are generally available on the Internet. Printed copies of the profiles

are offered as a print-on-demand product. Contact the Customer Services Center (301-763-4636)

for pricing and availability.

Summary Population and Housing Characteristics (PHC-1). This publication series

includes information on the 100-percent population and housing subjects. The data are available

for the United States, regions, divisions, states, counties, county subdivisions, places, metropolitan areas, urbanized areas, American Indian and Alaska Native areas, and Hawaiian home lands.

This series is comparable to the 1990 CPH-1 report series, Summary Population and Housing Characteristics. The series is also available in PDF format on the Internet.

Summary Social, Economic, and Housing Characteristics (PHC-2). This publication series

includes information on the sample population and housing subjects. Data are shown for the

same geographic areas as Summary Population and Housing Characteristics (PHC-1) described

above. This series is comparable to the 1990 CPH-5 report series, Summary Social, Economic, and

Housing Characteristics. The series is available in PDF format on the Internet.

Population and Housing Unit Counts (PHC-3). This publication series includes population

and housing unit counts for Census 2000 as well as the 1990 and earlier censuses. Information

on area measurements and population density is included. This series includes one printed report

for each state, the District of Columbia, and Puerto Rico plus a national report. The series is available in PDF format on the Internet.

Profiles and Other Data Tables. Demographic profiles, quick tables, and geographic comparison tables include predefined sets of data to meet the needs of the majority of data users.

They are convenient and readily available sources when moderate subject and geographic detail is

needed. Demographic profiles (PDF) are available on the Census Bureau’s Web site. Demographic

profiles as well as quick tables and geographic comparison tables are available through American

FactFinder.

CENSUS 2000 MAPS AND GEOGRAPHIC PRODUCTS

A variety of maps, boundary files, and other geographic products are available to help users

locate and identify geographic areas. These products are available in various media, such as the

Internet, CD-ROM, DVD, and, for maps, as print-on-demand products. A complete description of

Census 2000 geographic products and resources is available at www.census.gov/geo/www/.

TIGER/Line Files. These files contain geographic boundaries and codes, streets, address

ranges, and coordinates for use with commercially available geographic information systems (GIS)

for mapping and other applications.

Census Block Maps. These maps show the boundaries, names, and codes for American Indian

and Alaska Native areas and Hawaiian home lands, states, counties, county subdivisions, places,

census tracts, and census blocks. This map series is also produced by specified governmental

units (e.g., American Indian/Alaska Native areas, Hawaiian home lands, counties, incorporated

places, and functioning minor civil divisions).

Census Tract Outline Maps. These county maps provide the boundaries and numbers of census tracts and names of features underlying the boundaries. They also show the boundaries,

names, and codes for American Indian/Alaska Native areas, counties, county subdivisions, and

places.

Reference Maps. This series shows the boundaries for tabulation areas including states, counties, American Indian reservations, county subdivisions (minor civil divisions (MCDs)/census

county divisions (CCDs)), incorporated places, and census designated places. This series includes

the state and county subdivision outline maps, urbanized area maps, and metropolitan area maps.

These maps vary in size from wall to page size.

Data Products and User Assistance E–3

U.S. Census Bureau, Census 2000
Generalized Boundary Files. These files are designed for use in a geographic information

system (GIS) or similar computer mapping software. Boundary files are available for most levels of

census geography.

Thematic Maps. These colorful maps display Census 2000 data on such topics as population

density and population distribution.

REFERENCE MATERIALS

The reference materials for Census 2000 are available at the Census Bureau’s Internet site

(www.census.gov) or, in the case of CD-ROMs/DVD, files on the product itself.

Census 2000 Gateway. This page provides descriptions and links to Internet tables and

reference materials relating to Census 2000. It is available at

http://www.census.gov/main/ www/cen2000.html or by selecting the Census 2000 logo on the

Census Bureau’s home page (www.census.gov).

Census Online Catalog. Census 2000 data products, their availability, and their prices are

described in the Catalog portion of the Web site. The catalog can be reached from the Census

Bureau home page by selecting Catalog from the side bar or at https://catalog.mso.census.gov.

American FactFinder®. American FactFinder (AFF) is the system that presents comprehensive

data from Census 2000 as well as other Census Bureau data programs via the Internet. Reference

materials about the data, including subject and geographic glossaries, are available by selecting

Data Sets in the subject bar along the left side of the AFF main page (factfinder.census,gov). It also

can be reached from www.census.gov by selecting American FactFinder from either the Subjects A

to Z side bar or by directly selecting the American FactFinder side bar. Both bars are located on

the left side of the screen.

Technical Documentation. Technical documentation includes an abstract, a how-to-use chapter, the table layouts, the summary level sequence chart, the subject and geographic glossaries,

accuracy of the data, and the data dictionary. CD-ROM and DVD products include the relevant

technical documentation file on the disc. Technical documentation for files released on

CD-ROM/DVD is also available on the Web site at http://www.census.gov/prod/cen2000/.

SOURCES OF ASSISTANCE

U.S. Census Bureau. The Census Bureau’s Customer Services Center sells the Census 2000

CD-ROM and DVD products. These can be ordered via e-commerce from the Census Catalog at

https://catalog.mso.census.gov/ or by telephoning Customer Services at 301-763-4636.

The Census Bureau also has an active customer information program in each of its 12 regions.

This program, called the Partnership and Data Services (PDS) program, provides information about

Census Bureau statistics and offers training and assistance to data users. The Partnership and

Data Services specialists in the Census Bureau’s 12 Regional Offices answer thousands of questions each year. State coverage for each region as well as contact information is available at

http://www.census.gov/contacts/www/c-regoff.html.

Superintendent of Documents, U.S. Government Printing Office (GPO). The GPO

(www.gpo.gov) handles the sale of most of the federal government’s publications, including

Census 2000 reports. The GPO online bookstore is available at

http://bookstore.gpo.gov/index.html. For the current information on ordering publications

from GPO, see http://bookstore.gpo.gov/prf/ordinfo.html.

State Data Centers. The Census Bureau furnishes data products, training in data access and

use, technical assistance, and consultation to all states, the District of Columbia, Puerto Rico, U.S.

Virgin Islands, Guam, American Samoa, and the Commonwealth of the Northern Mariana Islands.

State Data Centers (SDCs), in turn, offer publications for reference, specially prepared reports,

maps, other products, and assistance to data users. A component of the program is the Business

E–4 Data Products and User Assistance

U.S. Census Bureau, Census 2000
and Industry Data Center (BIDC) Program, which supports the business community by expanding

SDC services to government, academic, and nonprofit organizations that directly serve businesses. For a list of SDC/BIDCs, including their services and their Web sites, access

http://www.census.gov/sdc/www/.

Census Information Centers. The Census Information Center (CIC) program is a cooperative

activity between the Census Bureau and national nonprofit organizations representing interests of

racial and ethnic communities. The program objective is to make census information and data

available to the participating organizations for analysis, policy planning, and for further dissemination through a network of regional and local affiliates. For a listing of the organizations and the

contacts, access http://www.census.gov/clo/www/cic.html.

The Census Bureau’s Customer Liaison Office administers both the SDC and CIC programs. For

more information on programs of that office, access http://www.census.gov/clo/www/clo.html.

Data Products and User Assistance E–5

U.S. Census Bureau, Census 2000
Figure E–1. Geographic Product Highlights

E–6 Data Products and User Assistance

U.S. Census Bureau, Census 2000
Data Products and User Assistance E–7

U.S. Census Bureau, Census 2000
Appendix F.

Maps

CONTENTS

Page

Introduction ..................................................................................... F–1

Map Descriptions ................................................................................ F–1

Census 2000 Block Map Legend Sample ..................................................... F–2

Census 2000 Block Map Sample .............................................................. F–3

Census Tract Outline Map Legend (Census 2000) Sample ................................... F–4

Census Tract Outline Map (Census 2000) Sample............................................ F–5

INTRODUCTION

There are two map series that support Census 2000 Summary File 4 data dissemination; the Census 2000 Block Map and the Census Tract Outline Map (Census 2000). The Census Bureau will produce each of these map types in 2 formats, Adobe’s Portable Document Format (PDF) and Hewlett

Packard’s Graphic Language 2 (HP-GL/2). The PDF files will be available through the Census

Bureau’s American FactFinder and as DVD products. These maps will also be available as paper

plots, which can be ordered from the Census Bureau. All Census 2000 map products can be

ordered from Customer Services, U.S. Census Bureau (301-763-INFO (4636)).

MAP DESCRIPTIONS

Census 2000 Block Maps

These large-scale maps depict the smallest geographic entities for which the Census Bureau presents data, census blocks. Census 2000 block maps will be produced for American Indian/Alaska

Native/Hawaiian home land areas, counties, county subdivisions, and places. The maps show the

boundaries, names, and codes for American Indian/Alaska Native/Hawaiian home land areas,

counties, county subdivisions, places, census tracts and blocks. Base feature details, such as

roads, railroads, and water features are also shown. The intent of this map series is to produce a

layout of maps for each entity on the smallest possible number of map sheets at the maximum

practical scale, dependent on the areal size of the entity and the density of the block pattern; the

latter affects the display of block numbers and feature identifiers. Each entity will be covered by

one or more parent sheets at a single scale, and when necessary, inset maps at larger scales. For

entities that are mapped on two or more map sheets, an index map showing the map sheet configuration will also be produced.

Census Tract Outline Map (Census 2000)

These maps show the boundaries and numbers of the census tracts as well as the named features

underlying the boundaries. They also show the boundaries, names and codes for American

Indian/Alaska Native/Hawaiian home land areas, counties, county subdivisions, and places. The

scale of the maps will be optimized to keep the number of map sheets for each area to a minimum, but the scale and number of sheets will vary by the areal size of the county and the complexity of the census tracts.

Maps F–1

U.S. Census Bureau, Census 2000
Figure F–1. Census 2000 Block Map Legend

F–2 Maps

U.S. Census Bureau, Census 2000
Figure F–2. Census 2000 Block Map

Maps F–3

U.S. Census Bureau, Census 2000
Figure F–3. Census Tract Outline Map Legend (Census 2000)

F–4 Maps

U.S. Census Bureau, Census 2000
Figure F–4. Census Tract Outline Map (Census 2000)

Maps F–5

U.S. Census Bureau, Census 2000
Appendix G.

Code Lists

Page

Ancestry ......................................................................................... G–1

Group Quarters .................................................................................. G–16

Hispanic or Latino Origin........................................................................ G–21

Industry.......................................................................................... G–23

Language ........................................................................................ G–34

Occupation ...................................................................................... G–46

Race.............................................................................................. G–66

State and Foreign Country ...................................................................... G–103

ANCESTRY CODE LIST

Codes Ancestry

001-099 WESTERN EUROPE (EXCEPT SPAIN)

001 ALSATIAN

002 ANDORRAN

003 AUSTRIAN

004 TIROL

005 BASQUE

006 FRENCH BASQUE

007 SPANISH BASQUE

008 BELGIAN

009 FLEMISH

010 WALLOON

011 BRITISH

012 BRITISH ISLES

013 CHANNEL ISLANDER

014 GIBRALTAR

015 CORNISH

016 CORSICAN

017 CYPRIOT

018 GREEK CYPRIOTE

019 TURKISH CYPRIOTE

020 DANISH

021 DUTCH

022 ENGLISH

023 FAEROE ISLANDER

024 FINNISH

025 KARELIAN

026 FRENCH

027 LORRAINE

028 BRETON

029 FRISIAN

030 FRIULIAN

031 LADIN

032 GERMAN

033 BAVARIA

034 BERLIN

Code Lists G–1

U.S. Census Bureau, Census 2000
Codes Ancestry

035 HAMBURG

036 HANNOVER

037 HESSIAN

038 LUBECKER

039 POMERANIAN

040 PRUSSIAN

041 SAXON

042 SUDETENLANDER

043 WESTPHALIAN

044 EAST GERMAN

045 WEST GERMAN

046 GREEK

047 CRETAN

048 CYCLADES

049 ICELANDER

050 IRISH

051 ITALIAN

052 TRIESTE

053 ABRUZZI

054 APULIAN

055 BASILICATA

056 CALABRIAN

057 AMALFIN

058 EMILIA ROMAGNA

059 ROME

060 LIGURIAN

061 LOMBARDIAN

062 MARCHE

063 MOLISE

064 NEAPOLITAN

065 PIEDMONTESE

066 PUGLIA

067 SARDINIAN

068 SICILIAN

069 TUSCANY

070 TRENTINO

071 UMBRIAN

072 VALLE DAOST

073 VENETIAN

074 SAN MARINO

075 LAPP

076 LIECHTENSTEINER

077 LUXEMBURGER

078 MALTESE

079 MANX

080 MONEGASQUE

081 NORTH IRISH

082 NORWEGIAN

083 OCCITAN

084 PORTUGUESE

085 AZORES ISLANDER

086 MADEIRA ISLANDER

087 SCOTCH IRISH

G–2 Code Lists

U.S. Census Bureau, Census 2000
Codes Ancestry

088 SCOTTISH

089 SWEDISH

090 ALAND ISLANDER

091 SWISS

092 SUISSE

093 SWITZER

094 NOT USED

095 ROMANSCH

096 SUISSE ROMANE

097 WELSH

098 SCANDINAVIAN

099 CELTIC

100-180 EASTERN EUROPE AND SOVIET UNION

100 ALBANIAN

101 AZERBAIJANI

102 BELORUSSIAN

103 BULGARIAN

104 CARPATHO RUSYN

105 CARPATHIAN

106 RUSYN

107 RUTHENIAN

108 COSSACK

109 CROATIAN

110 NOT USED

111 CZECH

112 BOHEMIAN

113 MORAVIAN

114 CZECHOSLOVAKIAN

115 ESTONIAN

116 LIVONIAN

117 FINNO UGRIAN

118 MORDOVIAN

119 VOYTAK

120 GRUZIIA

121 NOT USED

122 GERMAN FROM RUSSIA

123 VOLGA

124 ROM

125 HUNGARIAN

126 MAGYAR

127 KALMYK

128 LATVIAN

129 LITHUANIAN

130 MACEDONIAN

131 MONTENEGRIN

132 NORTH CAUCASIAN

133 NORTH CAUCASIAN TURKIC

134-139 NOT USED

140 OSSETIAN

141 NOT USED

142 POLISH

143 KASHUBIAN

Code Lists G–3

U.S. Census Bureau, Census 2000
Codes Ancestry

144 ROMANIAN

145 BESSARABIAN

146 MOLDAVIAN

147 WALLACHIAN

148 RUSSIAN

149 NOT USED

150 MUSCOVITE

151 NOT USED

152 SERBIAN

153 SLOVAK

154 SLOVENE

155 SORBIAN/WEND

156 SOVIET TURKIC

157 BASHKIR

158 CHUVASH

159 GAGAUZ

160 MESKNETIAN

161 TUVINIAN

162 NOT USED

163 YAKUT

164 SOVIET UNION

165 TATAR

166 NOT USED

167 SOVIET CENTRAL ASIA

168 TURKESTANI

169 UZBEG

170 GEORGIA CIS

171 UKRAINIAN

172 LEMKO

173 BIOKO

174 HUSEL

175 WINDISH

176 YUGOSLAVIAN

177 HERZEGOVINIAN

178 SLAVIC

179 SLAVONIAN

180 TAJIK

181-199 EUROPE, N.E.C.

181 CENTRAL EUROPEAN

182 NOT USED

183 NORTHERN EUROPEAN

184 NOT USED

185 SOUTHERN EUROPEAN

186 NOT USED

187 WESTERN EUROPEAN

188-189 NOT USED

190 EASTERN EUROPEAN

191 BUKOVINA

192 NOT USED

193 SILESIAN

194 NOT USED

195 EUROPEAN

G–4 Code Lists

U.S. Census Bureau, Census 2000
Codes Ancestry

196 GALICIAN

197-199 NOT USED

200-299 HISPANIC CATEGORIES (INCLUDING SPAIN)

200 SPANIARD

201 ANDALUSIAN

202 ASTURIAN

203 CASTILLIAN

204 CATALONIAN

205 BALEARIC ISLANDER

206 GALLEGO

207 VALENCIAN

208 CANARY ISLANDER

209 NOT USED

210 MEXICAN

211 MEXICAN AMERICAN

212 MEXICANO

213 CHICANO

214 LA RAZA

215 MEXICAN AMERICAN INDIAN

216-217 NOT USED

218 MEXICAN STATE

219-220 NOT USED

221 COSTA RICAN

222 GUATEMALAN

223 HONDURAN

224 NICARAGUAN

225 PANAMANIAN

226 SALVADORAN

227 CENTRAL AMERICAN

228 NOT USED

229 CANAL ZONE

230 NOT USED

231 ARGENTINEAN

232 BOLIVIAN

233 CHILEAN

234 COLOMBIAN

235 ECUADORIAN

236 PARAGUAYAN

237 PERUVIAN

238 URUGUAYAN

239 VENEZUELAN

240-247 NOT USED

248 CRIOLLO

249 SOUTH AMERICAN

250 LATIN AMERICAN

251 LATIN

252 LATINO

253-260 NOT USED

261 PUERTO RICAN

262-270 NOT USED

271 CUBAN

272-274 NOT USED

Code Lists G–5

U.S. Census Bureau, Census 2000
Codes Ancestry

275 DOMINICAN

276-289 NOT USED

290 HISPANIC

291 SPANISH

292 CALIFORNIO

293 TEJANO

294 NUEVO MEXICANO

295 SPANISH AMERICAN

296-299 NOT USED

300-359 WEST INDIES (EXCEPT HISPANIC)

300 BAHAMIAN

301 BARBADIAN

302 BELIZEAN

303 BERMUDAN

304 CAYMAN ISLANDER

305-307 NOT USED

308 JAMAICAN

309 NOT USED

310 DUTCH WEST INDIES

311 ARUBA ISLANDER

312 ST MAARTEN ISLANDER

313 NOT USED

314 TRINIDADIAN TOBAGONIAN

315 TRINIDADIAN

316 TOBAGONIAN

317 U S VIRGIN ISLANDER

318 ST CROIX ISLANDER

319 ST JOHN ISLANDER

320 ST THOMAS ISLANDER

321 BRITISH VIRGIN ISLANDER

322 BRITISH WEST INDIES

323 TURKS AND CAICOS ISLANDER

324 ANGUILLA ISLANDER

325 ANTIGUA AND BARBUDA

326 MONTSERRAT ISLANDER

327 KITTS/NEVIS ISLANDER

328 DOMINICA ISLANDER

329 GRENADIAN

330 VINCENT-GRENADINE ISLANDER

331 ST LUCIA ISLANDER

332 FRENCH WEST INDIES

333 GUADELOUPE ISLANDER

334 CAYENNE

335 WEST INDIAN

336 HAITIAN

337-359 NOT USED

360-399 CENTRAL & SOUTH AMERICA (EXCEPT HISPANIC)

360 BRAZILIAN

361-364 NOT USED

365 SAN ANDRES

366-369 NOT USED

370 GUYANESE

G–6 Code Lists

U.S. Census Bureau, Census 2000
Codes Ancestry

371-374 NOT USED

375 PROVIDENCIA

376-379 NOT USED

380 SURINAM

381-399 NOT USED

400-499 NORTH AFRICA AND SOUTHWEST ASIA

400 ALGERIAN

401 NOT USED

402 EGYPTIAN

403 NOT USED

404 LIBYAN

405 NOT USED

406 MOROCCAN

407 IFNI

408 TUNISIAN

409-410 NOT USED

411 NORTH AFRICAN

412 ALHUCEMAS

413 BERBER

414 RIO DE ORO

415 BAHRAINI

416 IRANIAN

417 IRAQI

418 NOT USED

419 ISRAELI

420 NOT USED

421 JORDANIAN

422 TRANSJORDAN

423 KUWAITI

424 NOT USED

425 LEBANESE

426 NOT USED

427 SAUDI ARABIAN

428 NOT USED

429 SYRIAN

430 NOT USED

431 ARMENIAN

432-433 NOT USED

434 TURKISH

435 YEMENI

436 OMANI

437 MUSCAT

438 TRUCIAL STATES

439 QATAR

440 NOT USED

441 BEDOUIN

442 KURDISH

443 NOT USED

444 KURIA MURIA ISLANDER

445-464 NOT USED

465 PALESTINIAN

466 GAZA STRIP

Code Lists G–7

U.S. Census Bureau, Census 2000
Codes Ancestry

467 WEST BANK

468-469 NOT USED

470 SOUTH YEMEN

471 ADEN

472-479 NOT USED

480 UNITED ARAB EMIRATES

481 NOT USED

482 ASSYRIAN/CHALDEAN/SYRIAC

483 ASSYRIAN

484 CHALDEAN

485 SYRIAC

486-489 NOT USED

490 MIDEAST

491-494 NOT USED

495 ARAB

496 ARABIC

497-499 NOT USED

500-599 SUBSAHARAN AFRICA

500 ANGOLAN

501 NOT USED

502 BENIN

503 NOT USED

504 BOTSWANA

505 NOT USED

506 BURUNDIAN

507 NOT USED

508 CAMEROON

509 NOT USED

510 CAPE VERDEAN

511 NOT USED

512 CENTRAL AFRICAN REPUBLIC

513 CHADIAN

514 NOT USED

515 CONGOLESE

516 CONGO BRAZZAVILLE

517-518 NOT USED

519 DJIBOUTI

520 EQUATORIAL GUINEA

521 CORSICO ISLANDER

522 ETHIOPIAN

523 ERITREAN

524 NOT USED

525 GABONESE

526 NOT USED

527 GAMBIAN

528 NOT USED

529 GHANIAN

530 GUINEAN

531 GUINEA BISSAU

532 IVORY COAST

533 NOT USED

534 KENYAN

G–8 Code Lists

U.S. Census Bureau, Census 2000
Codes Ancestry

535-537 NOT USED

538 LESOTHO

539-540 NOT USED

541 LIBERIAN

542 NOT USED

543 MADAGASCAN

544 NOT USED

545 MALAWIAN

546 MALIAN

547 MAURITANIAN

548 NOT USED

549 MOZAMBICAN

550 NAMIBIAN

551 NIGER

552 NOT USED

553 NIGERIAN

554 FULANI

555 HAUSA

556 IBO

557 TIV

558 YORUBA

559-560 NOT USED

561 RWANDAN

562-563 NOT USED

564 SENEGALESE

565 NOT USED

566 SIERRA LEONEAN

567 NOT USED

568 SOMALIAN

569 SWAZILAND

570 SOUTH AFRICAN

571 UNION OF SOUTH AFRICA

572 AFRIKANER

573 NATALIAN

574 ZULU

575 NOT USED

576 SUDANESE

577 DINKA

578 NUER

579 FUR

580 BAGGARA

581 NOT USED

582 TANZANIAN

583 TANGANYIKAN

584 ZANZIBAR ISLANDER

585 NOT USED

586 TOGO

587 NOT USED

588 UGANDAN

589 UPPER VOLTAN

590 VOLTA

591 ZAIRIAN

592 ZAMBIAN

Code Lists G–9

U.S. Census Bureau, Census 2000
Codes Ancestry

593 ZIMBABWEAN

594 AFRICAN ISLANDS (EXCEPT MADAGASCAR)

595 MAURITIAN

596 CENTRAL AFRICAN

597 EASTERN AFRICAN

598 WESTERN AFRICAN

599 AFRICAN

600-699 SOUTH ASIA

600 AFGHAN

601 BALUCHISTAN

602 PATHAN

603 BANGLADESHI

604-606 NOT USED

607 BHUTANESE

608 NOT USED

609 NEPALI

610-614 NOT USED

615 ASIAN INDIAN

616 KASHMIR

617 NOT USED

618 BENGALI

619 NOT USED

620 EAST INDIAN

621 NOT USED

622 ANDAMAN ISLANDER

623 NOT USED

624 ANDHRA PRADESH

625 NOT USED

626 ASSAMESE

627 NOT USED

628 GOANESE

629 NOT USED

630 GUJARATI

631 NOT USED

632 KARNATAKAN

633 NOT USED

634 KERALAN

635 NOT USED

636 MADHYA PRADESH

637 NOT USED

638 MAHARASHTRAN

639 NOT USED

640 MADRAS

641 NOT USED

642 MYSORE

643 NOT USED

644 NAGALAND

645 NOT USED

646 ORISSA

647 NOT USED

648 PONDICHERRY

649 NOT USED

G–10 Code Lists

U.S. Census Bureau, Census 2000
Codes Ancestry

650 PUNJAB

651 NOT USED

652 RAJASTHAN

653 NOT USED

654 SIKKIM

655 NOT USED

656 TAMIL NADU

657 NOT USED

658 UTTAR PRADESH

659-674 NOT USED

675 EAST INDIES

676-679 NOT USED

680 PAKISTANI

681-689 NOT USED

690 SRI LANKAN

691 SINGHALESE

692 VEDDAH

693-694 NOT USED

695 MALDIVIAN

696-699 NOT USED

700-799 OTHER ASIA

700 BURMESE

701 NOT USED

702 SHAN

703 CAMBODIAN

704 KHMER

705 NOT USED

706 CHINESE

707 CANTONESE

708 MANCHURIAN

709 MANDARIN

710-711 NOT USED

712 MONGOLIAN

713 NOT USED

714 TIBETAN

715 NOT USED

716 HONG KONG

717 NOT USED

718 MACAO

719 NOT USED

720 FILIPINO

721-729 NOT USED

730 INDONESIAN

731 NOT USED

732 BORNEO

733 NOT USED

734 JAVA

735 NOT USED

736 SUMATRA

737-739 NOT USED

740 JAPANESE

741 ISSEI

Code Lists G–11

U.S. Census Bureau, Census 2000
Codes Ancestry

742 NISEI

743 SANSEI

744 YONSEI

745 GONSEI

746 RYUKYU ISLANDER

747 NOT USED

748 OKINAWAN

749 NOT USED

750 KOREAN

751-764 NOT USED

765 LAOTIAN

766 MEO

767 NOT USED

768 HMONG

769 NOT USED

770 MALAYSIAN

771 NORTH BORNEO

772-773 NOT USED

774 SINGAPOREAN

775 NOT USED

776 THAI

777 BLACK THAI

778 WESTERN LAO

779-781 NOT USED

782 TAIWANESE

783 FORMOSAN

784 NOT USED

785 VIETNAMESE

786 KATU

787 MA

788 MNONG

789 NOT USED

790 MONTAGNARD

791 NOT USED

792 INDO CHINESE

793 EURASIAN

794 AMERASIAN

795 ASIAN

796-799 NOT USED

800-899 PACIFIC

800 AUSTRALIAN

801 TASMANIAN

802 AUSTRALIAN ABORIGINE

803 NEW ZEALANDER

804-807 NOT USED

808 POLYNESIAN

809 KAPINGAMARANGAN

810 MAORI

811 HAWAIIAN

812 NOT USED

813 PART HAWAIIAN

814 SAMOAN

G–12 Code Lists

U.S. Census Bureau, Census 2000
Codes Ancestry

815 TONGAN

816 TOKELAUAN

817 COOK ISLANDER

818 TAHITIAN

819 NIUEAN

820 MICRONESIAN

821 GUAMANIAN

822 CHAMORRO ISLANDER

823 SAIPANESE

824 PALAUAN

825 MARSHALLESE

826 KOSRAEAN

827 PONAPEAN

828 TRUKESE (CHUUKESE)

829 YAPESE

830 CAROLINIAN

831 KIRIBATESE

832 NAURUAN

833 TARAWA ISLANDER

834 TINIAN ISLANDER

835-839 NOT USED

840 MELANESIAN

841 FIJIAN

842 NOT USED

843 NEW GUINEAN

844 PAPUAN

845 SOLOMON ISLANDER

846 NEW CALEDONIAN

847 VANUATUAN

848-849 NOT USED

850 PACIFIC ISLANDER

851-859 NOT USED

860 PACIFIC

861 NOT USED

862 CHAMOLINIAN

863-899 NOT USED

900-994 NORTH AMERICA (EXCEPT HISPANIC)

900 AFRICAN AMERICAN

901 AFRO

902 AFRICAN AMERICAN

903 BLACK

904 NEGRO

905 NONWHITE

906 COLORED

907 CREOLE

908 MULATTO

909-912 NOT USED

913 CENTRAL AMERICAN INDIAN

914 SOUTH AMERICAN INDIAN

915-916 NOT USED

917 NATIVE AMERICAN

918 INDIAN

Code Lists G–13

U.S. Census Bureau, Census 2000
Codes Ancestry

919 CHEROKEE

920 AMERICAN INDIAN

921 ALEUT

922 ESKIMO

923 INUIT

924 WHITE

925 ANGLO

926 NOT USED

927 APPALACHIAN

928 ARYAN

929 PENNSYLVANIA GERMAN

930 GREENLANDER

931 CANADIAN

932 NOT USED

933 NEWFOUNDLAND

934 NOVA SCOTIA

935 FRENCH CANADIAN

936 ACADIAN

937 CAJUN

938 NOT USED

939 AMERICAN

940 UNITED STATES

941 ALABAMA

942 ALASKA

943 ARIZONA

944 ARKANSAS

945 CALIFORNIA

946 COLORADO

947 CONNECTICUT

948 DISTRICT OF COLUMBIA

949 DELAWARE

950 FLORIDA

951 IDAHO

952 ILLINOIS

953 INDIANA

954 IOWA

955 KANSAS

956 KENTUCKY

957 LOUISIANA

958 MAINE

959 MARYLAND

960 MASSACHUSETTS

961 MICHIGAN

962 MINNESOTA

963 MISSISSIPPI

964 MISSOURI

965 MONTANA

966 NEBRASKA

967 NEVADA

968 NEW HAMPSHIRE

969 NEW JERSEY

970 NEW MEXICO

971 NEW YORK

G–14 Code Lists

U.S. Census Bureau, Census 2000
Codes Ancestry

972 NORTH CAROLINA

973 NORTH DAKOTA

974 OHIO

975 NOT USED

976 OKLAHOMA

977 OREGON

978 PENNSYLVANIA

979 RHODE ISLAND

980 SOUTH CAROLINA

981 SOUTH DAKOTA

982 TENNESSEE

983 TEXAS

984 UTAH

985 VERMONT

986 VIRGINIA

987 WASHINGTON

988 WEST VIRGINIA

989 WISCONSIN

990 WYOMING

991 GEORGIA

992 NOT USED

993 SOUTHERNER

994 NORTH AMERICAN

995-999 RESIDUAL AND NO RESPONSE

995 MIXTURE

996 UNCODABLE ENTRIES

997 NOT USED

998 OTHER RESPONSES

999 NOT REPORTED

Code Lists G–15

U.S. Census Bureau, Census 2000
GROUP QUARTERS

This code list was used by special place enumerators in Census 2000.

GQ

Codes

Staff residents1

GQ Codes

A. College Quarters (501)

501 – 1. Dormitories and Fraternity and Sorority Houses (on and off

campus)

B. Correctional Institutions (101-107)

101 905 1. Federal Detention Centers (including U.S. Park Police, Bureau

of Indian Affairs, Immigration and Naturalization Service

(INS) centers operated within local jails, and state and federal prisons. INS detention centers also include INS Federal

Alien Detention Facilities, INS Service Processing Centers,

and INS Contract Detention Centers used to detain aliens

under exclusion or deportation proceedings and aliens who

require custodial departures.)

102 905 2. Federal Prisons (including criminally insane wards operated

by a federal prison within a mental or general hospital. If

ward is not operated by a prison, code criminally insane ward

‘‘404’’ and ‘‘905’’ for staff residing in the group quarters.)

NOTE: Do not include INS detention centers operating within

federal prisons. Code INS detention centers ‘‘101’’ for aliens

and ‘‘905’’ for staff residing in the group quarters.

Do not include correctional centers for juveniles. Include

juveniles facilities in Section I below.

105 905 3. Halfway Houses (operated for correctional purposes, including probation and restitution centers, prerelease centers, and

community-residential treatment centers)

104 905 4. Local (county, city, regional, and other municipalities) Jails

and Other Confinement Facilities (usually hold persons more

than 48 hours) (includes work farms and police lockups)

(usually hold persons for 48 hours or less)

NOTE: Do not include INS detention centers operating within

local jails. Code INS detention centers ‘‘101’’ for aliens and

‘‘905’’ for staff residing in the group quarters.

106 904 5. Military Disciplinary Barracks (including jails on military bases)

103 905 6. State Prisons (including criminally insane wards operated by

a state prison within a mental or general hospital; if not

operated by a prison, code according to Section G5)

NOTE: Do not include INS detention centers operating within

state prisons. Code INS detention centers ‘‘101’’ for aliens

and ‘‘905’’ for staff residing in the group quarters.

107 905 7. Other Types of Correctional Institutions (including private

correctional facilities and correctional facilities specifically

for alcohol/drug abuse)

900 – C. Crews of Maritime Vessels (900)

D. Dormitories (601, 901-905)

901 – 1. Agriculture Workers’ Dormitories on Farms (including migratory farm workers’ camps, bunkhouses for ranch hands, and

other dormitories on farms including those on ‘‘tree farms’’)

2. College Student Dormitories, and Fraternity and Sorority

Houses (see Section A above)

904 — 3. Dormitories for Nurses and Interns in Military Hospitals

905 — 4. Dormitories for Nurses and Interns in General Hospitals

601 — 5. Military Quarters on Base, Including Barracks (unaccompanied personnel housing (UPH) (Enlisted/Officer), and similar

group living quarters for military personnel)

1

Staff residing at the group quarters (GQ) are counted in the same GQ as other residents when no GQ

code is provided.

G–16 Code Lists

U.S. Census Bureau, Census 2000
GROUP QUARTERS—Con.

This code list was used by special place enumerators in Census 2000.

GQ

Codes

Staff residents1

GQ Codes

902 — 6. Other Workers’ Dormitories (including logging camps, construction workers’ camps, firehouse dormitories, job-training

camps, energy enclaves (Alaska only), Alaskan pipeline camps,

nonfarm migratory workers’ camps such as workers who lay

oil and gas pipelines)

903 — 7. Job Corps and Vocational Training Facilities for Persons

Above the High School Level

E. Emergency Shelters/Service Locations (701-706)

701 — 1. Shelters for the Homeless With Sleeping Facilities (including

emergency housing, missions, and flophouses, Salvation

Army shelters, hotels and motels used entirely for homeless

persons, hotels or motels used partially for the homeless,

and similar places known to have persons with no usual

home elsewhere who stay overnight)

702 — 2. Shelters for Runaway, Neglected, and Homeless Children

703 — 3. Shelters for Abused Women (or Shelters Against Domestic

Violence)

4. Service Locations

704 — a. Soup kitchens

705 — b. Regularly scheduled mobile food vans

706 — 5. Targeted Nonsheltered Outdoor Locations

F. Group Homes/Halfway Houses (801-810) (with 10 or more

unrelated persons (801-805) and with 9 or less unrelated persons

(806-810): Including those providing community-based care and

supportive services. For enumeration purposes, group homes

were classified into ten type codes: 801 to 810. The classification

was based upon expected size of the group home. For tabulation

purposes, group homes were collapsed into five categories: 801

to 805.)

NOTE: Do not include halfway houses operated for correctional

purposes. If operated for correctional purposes, code according

to Section B3.

801, 806 — 1. Drug/Alcohol Abuse (group homes, detoxification centers,

quarterway houses (residential treatment facilities that work

closely with an accredited hospital); halfway houses; recovery homes for ambulatory, mentally competent recovering

alcoholics who may be re-entering the work force)

802, 807 — 2. Mentally Ill

803, 808 — 3. Mentally Retarded

804, 809 — 4. Physically Handicapped

805, 810 — 5. Other Group Homes (including communes, foster care homes,

and maternity homes for unwed mothers)

G. Hospitals and Wards, Hospices, and Schools for the Handicapped (400-410)

904 — 1. Dormitories for Nurses and Interns in Military Hospitals

905 — 2. Dormitories for Nurses and Interns in General Hospitals

400 905 3. Drug/Alcohol Abuse (hospitals and hospital wards in psychiatric and general hospitals)

1

Staff residing at the group quarters (GQ) are counted in the same GQ as other residents when no GQ

code is provided.

Code Lists G–17

U.S. Census Bureau, Census 2000
GROUP QUARTERS—Con.

This code list was used by special place enumerators in Census 2000.

GQ

Codes

Staff residents1

GQ Codes

4. Chronically Ill

401 904 a. Military hospitals or wards for chronically ill

402 905 b. Other hospitals or wards for chronically ill (including

tuberculosis hospitals or wards; wards in general and

veterans’ hospitals for the chronically ill; wards for progressive or degenerative brain diseases, such as neurodegenerative process, spinal cord tumor, or other neurologic diseases; wards for patients with Hansen’s Disease

(leprosy) and other incurable diseases; and other unspecified wards for the chronically ill)

NOTE: Do not include mental or drug/alcohol abuse

hospitals or wards.

403 905 c. Hospices/homes for chronically ill (including hospices

and homes for AIDS and cancer patients, and other

unspecified terminal diseases.

404 905 5. Mentally Ill (Psychiatric) (hospitals or wards, including wards

for the criminally insane not operated by a prison and

psychiatric wards of general hospitals and veterans’ hospitals. This is a medical setting designed for the treatment of

mental illness. Patients receive supervised and medical/nursing

care from formally trained staff)

405 905 6. Mentally Retarded (schools, hospitals, wards (including wards

in hospitals for the mentally ill), and intermediate care facilities for the mentally retarded (ICF/MR))

7. Physically Handicapped (including schools, hospitals, or wards

in a suitably equipped medical setting and designed primarily for the physically handicapped who receive supervised

care and medical/nursing care from a formally trained staff)

406 905 a. Institutions for the deaf

407 905 b. Institutions for the blind

408 905 c. Orthopedic wards and institutions for physically handicapped (including institutions providing long-term care

to accident victims, and persons with polio, cerebral

palsy (leads to motor dysfunction), muscular dystrophy,

etc.)

NOTE: Do not include wards for terminally ill patients.

Code such places as ‘‘401’’ military hospitals or wards for

chronically ill or ‘‘402’’ other hospitals or wards for

chronically ill.

409 905 8. General Hospitals With Patients Who Have No Usual Home

Elsewhere (including maternity, neonatal, pediatric (including wards for boarder babies), Veterans’ Affairs, surgical, and

other purpose wards of hospitals and wards for infectious

diseases)

410 904 9. Military Hospitals With Patients Who Have No Usual Home

Elsewhere (including maternity, neonatal, pediatric (including wards for boarder babies), military, surgical, and other

purpose wards of hospitals and wards for infectious diseases)

701 — H. Hotels/Motels (701) (those used entirely or partially for persons without a usual home)

1

Staff residing at the group quarters (GQ) are counted in the same GQ as other residents when no GQ

code is provided.

G–18 Code Lists

U.S. Census Bureau, Census 2000
GROUP QUARTERS—Con.

This code list was used by special place enumerators in Census 2000.

GQ

Codes

Staff residents1

GQ Codes

I. Juvenile Institutions (201-209) (including homes, schools,

and detention centers)

1. Long-Term Care (length of stay usually more than 30 days)

a. Neglected, abused, and dependent children (orphanages,

homes, or residential care)

201 905 (1) Public ownership

202 905 (2) Private ownership

203 905 (3) Ownership unknown (used as a last resort if no

other type code applies)

204 905 b. Emotionally disturbed children (residential treatment centers (psychiatric care provided))

c. Delinquent children (placed by court, parents, or social

service agencies in residential training schools or homes,

including industrial schools, camps, or farms)

205 905 (1) Public ownership

206 905 (2) Private ownership

207 905 (3) Ownership unknown (used only as a last resort if no

other type code applies)

2. Short-Term Care (length of stay usually 30 days or less)

208 905 a. Delinquent children (temporary care in detention centers, reception or diagnostic centers pending court disposition of case)

702 905 b. Runaway, neglected, and homeless children (emergency

shelters/group homes which provide temporary sleeping facilities for juveniles) (see Section E2)

209 905 3. Type of Juvenile Institution Unknown (used only as a last

resort if no other code applies)

J. Military Quarters (601-603)

1. On Base:

601 — a. Barracks,unaccompaniedpersonnelhousing(UPH)(Enlisted/

Officer), and similar group living quarters for military

personnel

602 — b. Transient quarters for temporary residents (military or

civilian)

904 — c. Dormitories for nurses and interns in military hospitals

106 904 d. Stockades and jails (on military bases)

603 — 2. Military Ships

604 — 3. Group Quarters, Misc. (for processing use only)

605 — 4. Military Hotels/Campgrounds (these locations are classified

as housing units)

909 — K. Natural Disaster (909) (includes those temporarily displaced

by a natural disaster, such as ‘‘Hurricane Fran’’)

1

Staff residing at the group quarters (GQ) are counted in the same GQ as other residents when no GQ

code is provided.

Code Lists G–19

U.S. Census Bureau, Census 2000
GROUP QUARTERS—Con.

This code list was used by special place enumerators in Census 2000.

GQ

Codes

Staff residents1

GQ Codes

L. Nursing Homes (301-307) (skilled nursing facilities (SNF), intermediate care facilities (ICF), long-term care rooms in wards or buildings on the grounds of hospitals, nursing, convalescent, and rest

homes including soldiers’, sailors’, veterans’ hospitals, fraternal or

religious homes for the aged with nursing care)

1. Public Ownership

301 905 a. Federal ownership (including veterans’ hospitals, domiciliary

homes, and U.S. Naval homes)

302 905 b. State, county, or city ownership

303 905 c. Don’t know if federal, state, county, or city ownership (used

only as a last resort if no other type code applies)

2. Private ownership

304 905 a. Private not-for-profit

305 905 b. Private for-profit

306 905 c. Don’t know if for-profit or not-for-profit (used only as a last

resort if no other type code applies)

307 905 3. Don’t Know If Federal, State, Local, or Private Ownership (used

only as a last resort if no other type code applies)

906 — M. Religious Group Quarters (906) (including convents, monasteries, and rectories (classify members of religious orders who live

in a dormitory at a hospital or college according to the type of place

where they live, such as college or hospital dormitories))

911 — N. Residential Care Facilities Providing ‘‘Protective Oversight’’

(911)

O. Schools for the Handicapped (see Sections G6 and G7)

P. Service Locations and Emergency Shelters (see Section E)

913 — Q. Other Household Living Situations ‘‘Dangerous Encampments’’

(913) (these locations are classified as housing units)

908 R. Other Nonhousehold Living Situations (908) (including those

not covered by other GQ codes shown herein, such as hostels,

YMCA’s, and YWCA’s)

910 — S. Transient Locations (910) (including commercial or public campgrounds, campgrounds at racetracks, fairs, carnivals, and similar

transient sites. These locations are classified as housing units.)

1

Staff residing at the group quarters (GQ) are counted in the same GQ as other residents when no

GQ code is provided.

G–20 Code Lists

U.S. Census Bureau, Census 2000
HISPANIC OR LATINO

NOT SPANISH/HISPANIC (001-199)

001-099 Not Used

100 Not Spanish/Hispanic (Checkbox)

101 Not Spanish/Hispanic

102-109 Not Used

110-121 Not Spanish/Hispanic

122-129 Not Used

130-168 Not Spanish/Hispanic

169-189 Not Used

190 Multiple NOT SPANISH/HISPANIC

191-199 Not Used

SPANIARD (200-209)

200 Spaniard

201 Andalusian

202 Asturian

203 Castillian

204 Catalonian

205 Balearic Islander

206 Gallego

207 Valencian

208 Canarian

209 Spanish Basque

MEXICAN (210-220)

210 Mexican (Checkbox)

211 Mexican

212 Mexican American

213 Mexicano

214 Chicano

215 La Raza

216 Mexican American Indian

217 Not Used

218 Mexico

219-220 Not Used

CENTRAL AMERICAN (221-230)

221 Costa Rican

222 Guatemalan

223 Honduran

224 Nicaraguan

225 Panamanian

226 Salvadoran

227 Central American

228 Central American Indian

Code Lists G–21

U.S. Census Bureau, Census 2000
HISPANIC OR LATINO—Con.

CENTRAL AMERICAN (221-230)—Con.

229 Canal Zone

230 Not Used

SOUTH AMERICAN (231-249)

231 Argentinean

232 Bolivian

233 Chilean

234 Colombian

235 Ecuadorian

236 Paraguayan

237 Peruvian

238 Uruguayan

239 Venezuelan

240 South American Indian

241 Criollo

242 South American

243-249 Not Used

LATIN AMERICAN (250-259)

250 Latin American

251 Latin

252 Latino

253-259 Not Used

PUERTO RICAN (260-269)

260 Puerto Rican (Checkbox)

261 Puerto Rican

262-269 Not Used

CUBAN (270-274)

270 Cuban (Checkbox)

271 Cuban

272-274 Not Used

DOMINICAN (275-279)

275 Dominican

276-279 Not Used

OTHER SPANISH/HISPANIC (280-299)

280 Other Spanish/Hispanic (Checkbox)

281 Hispanic

282 Spanish

283 Californio

284 Tejano

285 Nuevo Mexicano

286 Spanish American

287 Spanish American Indian

288 Meso American Indian

289 Mestizo

290 Caribbean

291 Multiple Hispanic

292-298 Not Used

299 Other Spanish/Hispanic, n.e.c.

NOT USED (300-999)

G–22 Code Lists

U.S. Census Bureau, Census 2000
DETAILED INDUSTRY CODE LIST

1997 NAICS and Census 2000 sorted by 1997 NAICS codes and subsequent OMB directives

(Census codes may not be in sequential order)

NAICS Based Census 2000

Category Title Census 2000

1997 NAICS

Equivalent

Agriculture, forestry, fishing and hunting, and

mining: 001-056 11, 21

Agriculture, forestry, fishing and hunting: 001-036 11

Unused codes 001-016

Crop production 017 111

Animal production 018 112

Forestry except logging 019 1131, 1132

Unused codes 020-026

Logging 027 1133

Fishing, hunting, and trapping 028 114

Support activities for agriculture and

forestry 029 115

Unused codes 030-036

Mining: 037-056 21

Oil and gas extraction 037 211

Coal mining 038 2121

Metal ore mining 039 2122

Unused codes 040-046

Nonmetallic mineral mining and

quarrying 047 2123

Not specified type of mining 048 Part of 21

Support activities for mining 049 213

Unused codes 050-056

Utilities census codes 057-076 moved to

Transportation and Warehousing NAICS

subsector 48-49

Construction: 077-106 23

Construction 077 23

Unused codes 078-106

Manufacturing: 107-406 31-33

Animal food, grain, and oilseed milling 107 3111, 3112

Sugar and confectionery products 108 3113

Fruit and vegetable preserving and

specialty food manufacturing 109 3114

Unused codes 110-116

Dairy product manufacturing 117 3115

Animal slaughtering and processing 118 3116

Retail bakeries 119 311811

Unused codes 120-126

Bakeries, except retail 127 3118 exc. 311811

Seafood and other miscellaneous foods,

n.e.c. 128 3117, 3119

Not specified food industries 129 Part of 311

Unused codes 130-136

Beverage manufacturing 137 3121

Unused code 138

Tobacco manufacturing 139 3122

Unused codes 140-146

Code Lists G–23

U.S. Census Bureau, Census 2000
NAICS Based Census 2000

Category Title Census 2000

1997 NAICS

Equivalent

Manufacturing—Con.

Fiber, yarn, and thread mills 147 3131

Fabric mills, except knitting 148 3132 exc. 31324

Textile and fabric finishing and coating

mills 149 3133

Unused codes 150-156

Carpets and rugs manufacturing 157 31411

Unused code 158

Textile product mills except carpets and

rugs 159 314 exc. 31411

Unused codes 160-166

Knitting mills 167 31324, 3151

Cut and sew apparel manufacturing 168 3152

Apparel accessories and other apparel

manufacturing 169 3159

Unused codes 170-176

Footwear manufacturing 177 3162

Unused code 178

Leather tanning and products, except

footwear manufacturing 179 3161, 3169

Unused codes 180-186

Sawmills and wood preservation 377 3211

Veneer, plywood, and engineered wood

products 378 3212

Prefabricated wood buildings and mobile

homes 379 321991, 321992

Unused codes 380-386

Miscellaneous wood products 387 3219 exc. 321991,

321992

Unused code 388

Pulp, paper, and paperboard mills 187 3221

Paperboard containers and boxes 188 32221

Miscellaneous paper and pulp products 189 32222, 32223, 32229

Unused codes 190-198

Printing and related support activities 199 323

Unused codes 200-206

Petroleum refining 207 32411

Unused code 208

Miscellaneous petroleum and coal

products 209 32412, 32419

Unused codes 210-216

Resin, synthetic rubber and fibers, and

filaments manufacturing 217 3252

Agricultural chemical manufacturing 218 3253

Pharmaceutical and medicine

manufacturing 219 3254

Unused codes 220-226

Paint, coating, and adhesives

manufacturing 227 3255

Soap, cleaning compound, and cosmetic

manufacturing 228 3256

Industrial and miscellaneous chemicals 229 3251, 3259

Unused codes 230-236

Plastics product manufacturing 237 3261

G–24 Code Lists

U.S. Census Bureau, Census 2000
NAICS Based Census 2000

Category Title Census 2000

1997 NAICS

Equivalent

Manufacturing—Con.

Tire manufacturing 238 32621

Rubber products, except tires,

manufacturing 239 32622, 32629

Unused codes 240-246

Pottery, ceramics, and related products

manufacturing 247 32711

Structural clay product manufacturing 248 32712

Glass and glass product manufacturing 249 3272

Unused codes 250-256

Cement, concrete, lime, and gypsum

product manufacturing 257 3273, 3274

Unused code 258

Miscellaneous nonmetallic mineral

product manufacturing 259 3279

Unused codes 260-266

Iron and steel mills and steel product

manufacturing 267 3311, 3312

Aluminum production and processing 268 3313

Nonferrous metal, except aluminum,

production and processing 269 3314

Unused codes 270-276

Foundries 277 3315

Metal forgings and stampings 278 3321

Cutlery and hand tool manufacturing 279 3322

Unused codes 280-286

Structural metals and tank and shipping

container manufacturing 287 3323, 3324

Machine shops, turned product, screw,

nut, and bolt manufacturing 288 3327

Coating, engraving, heat treating and

allied activities 289 3328

Unused codes 290-296

Ordnance 297 332992-332995

Miscellaneous fabricated metal products

manufacturing 298

3325, 3326, 3329 exc.

332992-332995

Not specified metal industries 299 Part of 331 and 332

Unused codes 300-306

Agricultural implement manufacturing 307 33311

Construction mining and oil field

machinery manufacturing 308 33312, 33313

Commercial and service industry

machinery manufacturing 309 3333

Unused codes 310-316

Metalworking machinery manufacturing 317 3335

Engines, turbines, and power

transmission equipment manufacturing 318 3336

Machinery manufacturing, n.e.c. 319 3332, 3334, 3339

Unused codes 320-328

Not specified machinery manufacturing 329 Part of 333

Unused codes 330-335

Computer and peripheral equipment

manufacturing 336 3341

Code Lists G–25

U.S. Census Bureau, Census 2000
NAICS Based Census 2000

Category Title Census 2000

1997 NAICS

Equivalent

Manufacturing—Con.

Communications, audio, and video

equipment manufacturing 337 3342, 3343

Navigational, measuring, electromedical,

and control instruments manufacturing 338 3345

Electronic component and product

manufacturing, n.e.c. 339 3344, 3346

Unused codes 340-346

Household appliance manufacturing 347 3352

Unused code 348

Electrical lighting, equipment, and

supplies manufacturing, n.e.c. 349 3351, 3353, 3359

Unused codes 350-356

Motor vehicles and motor vehicle

equipment manufacturing 357 3361, 3362, 3363

Aircraft and parts manufacturing 358 336411-336413

Aerospace product and parts

manufacturing 359 336414-336419

Unused codes 360-366

Railroad rolling stock manufacturing 367 3365

Ship and boat building 368 3366

Other transportation equipment

manufacturing 369 3369

Unused codes 370-376

Codes 377-388 moved to NAICS 321

Subsector–Wood Product Manufacturing

Furniture and related products

manufacturing 389 337

Unused codes 390-395

Medical equipment and supplies

manufacturing 396 3391

Toys, amusement, and sporting goods

manufacturing 397 33992, 33993

Miscellaneous manufacturing, n.e.c. 398 3399 exc. 33992, 33993

Not specified manufacturing industries 399 Part of 31-33

Unused codes 400-406

Wholesale trade: 407-466 42

Motor vehicles, parts and supplies 407 4211

Furniture and home furnishings 408 4212

Lumber and other construction materials 409 4213

Unused codes 410-416

Professional and commercial equipment

and supplies 417 4214

Metals and minerals, except petroleum 418 4215

Electrical goods 419 4216

Unused codes 420-425

Hardware, plumbing and heating

equipment, and supplies 426 4217

Machinery, equipment, and supplies 427 4218

Recyclable material 428 42193

Miscellaneous durable goods 429 4219 exc. 42193

Unused codes 430-436

Paper and paper product wholesalers 437 4221

G–26 Code Lists

U.S. Census Bureau, Census 2000
NAICS Based Census 2000

Category Title Census 2000

1997 NAICS

Equivalent

Wholesale trade—Con.

Drugs, sundries, and chemical and allied

product wholesalers 438 4222, 4226

Apparel, fabrics, and notions wholesalers 439 4223

Unused codes 440-446

Groceries and related product

wholesalers 447 4224

Farm product raw material wholesalers 448 4225

Petroleum and petroleum product

wholesalers 449 4227

Unused codes 450-455

Alcoholic beverage wholesalers 456 4228

Farm supplies wholesalers 457 42291

Miscellaneous nondurable goods

wholesalers 458 4229 exc. 42291

Not specified wholesale trade 459 Part of 42

Unused codes 460-466

Retail trade: 467-606 44-45

Automobile dealers 467 4411

Other motor vehicle dealers 468 4412

Auto parts, accessories, and tire stores 469 4413

Unused codes 470-476

Furniture and home furnishings stores 477 442

Household appliance stores 478 443111

Radio, TV, and computer stores 479 443112, 44312

Unused codes 480-486

Building material and supplies dealers 487 4441 exc. 44413

Hardware stores 488 44413

Lawn and garden equipment and

supplies stores 489 4442

Unused codes 490-496

Grocery stores 497 4451

Specialty food stores 498 4452

Beer, wine, and liquor stores 499 4453

Unused codes 500-506

Pharmacies and drug stores 507 44611

Health and personal care, except drug

stores 508 446 exc. 44611

Gasoline stations 509 447

Unused codes 510-516

Clothing and accessories, except shoe

stores 517 448 exc. 44821, 4483

Shoe stores 518 44821

Jewelry, luggage, and leather goods

stores 519 4483

Unused codes 520-526

Sporting goods, camera, and hobby and

toy stores 527 44313, 45111, 45112

Sewing, needlework and piece goods

stores 528 45113

Music stores 529 45114, 45122

Unused codes 530-536

Book stores and news dealers 537 45121

Code Lists G–27

U.S. Census Bureau, Census 2000
NAICS Based Census 2000

Category Title Census 2000

1997 NAICS

Equivalent

Retail trade—Con.

Department stores 538 45211

Miscellaneous general merchandise

stores 539 4529

Unused codes 540-546

Retail florists 547 4531

Office supplies and stationary stores 548 45321

Used merchandise stores 549 4533

Unused codes 550-556

Gift, novelty, and souvenir shops 557 45322

Miscellaneous retail stores 558 4539

Electronic shopping and mail-order

houses 559 4541

Unused codes 560-566

Vending machine operators 567 4542

Fuel dealers 568 45431

Other direct selling establishments 569 45439

Unused codes 570-578

Not specified retail trade 579 Part of 44-45

Unused codes 580-606

Transportation and warehousing, and

utilities: 607-646, 057-076 48-49, 22

Transportation and warehousing: 607-646 48-49

Air transportation 607 481

Rail transportation 608 482

Water transportation 609 483

Unused codes 610-616

Truck transportation 617 484

Bus service and urban transit 618 4851,4852, 4854-4859

Taxi and limousine service 619 4853

Unused codes 620-626

Pipeline transportation 627 486

Scenic and sightseeing transportation 628 487

Services incidental to transportation 629 488

Unused codes 630-636

Postal Service 637 491

Couriers and messengers 638 492

Warehousing and storage 639 493

Unused codes 640-646

Utilities: 057-076 22

Electric power generation transmission

and distribution 057 2211

Natural gas distribution 058 2212

Electric and gas and other combinations 059 Pts. 2211, 2212

Unused codes 060-066

Water, steam, air-conditioning, and

irrigation systems 067 22131, 22133

Sewage treatment facilities 068 22132

Not specified utilities 069 Part of 22

Unused codes 070-076

G–28 Code Lists

U.S. Census Bureau, Census 2000
NAICS Based Census 2000

Category Title Census 2000

1997 NAICS

Equivalent

Information: 647-686 51

Newspaper publishers 647 51111

Publishing except newspapers and

software 648 5111 exc. 51111

Software publishing 649 5112

Unused codes 650-656

Motion pictures and video industries 657 5121

Unused code 658

Sound recording industries 659 5122

Unused codes 660-666

Radio and television broadcasting and

cable 667 5131, 5132

Wired telecommunications carriers 668 51331

Other telecommunication services 669 5133 exc. 51331

Unused codes 670-676

Libraries and archives 677 51412

Other information services 678 5141 exc. 51412

Data processing services 679 5142

Unused codes 680-686

Finance, insurance, real estate and rental and

leasing: 687-726 52, 53

Finance and insurance: 687-706 52

Banking and related activities 687 521, 52211, 52219

Savings institutions, including credit

unions 688 52212, 52213

Nondepository credit and related

activities 689 5222, 5223

Unused codes 690-696

Securities, commodities, funds, trusts,

and other financial investments 697 523, 525

Unused code 698

Insurance carriers and related activities 699 524

Unused codes 700-706

Real estate and rental and leasing: 707-726 53

Real estate 707 531

Automotive equipment rental and leasing 708 5321

Unused codes 709-716

Video tape and disk rental 717 53223

Other consumer goods rental 718 53221, 53222, 53229,

5323

Commercial, industrial, and other

intangible assets rental and leasing 719 5324, 533

Unused codes 720-726

Professional, scientific, management,

administrative, and waste management

services: 727-785 54-56

Professional, scientific, and technical

services: 727-756 54

Legal services 727 5411

Accounting, tax preparation,

bookkeeping and payroll services 728 5412

Code Lists G–29

U.S. Census Bureau, Census 2000
NAICS Based Census 2000

Category Title Census 2000

1997 NAICS

Equivalent

Professional, scientific, management,

administrative, and waste management

services—Con.

Architectural, engineering, and related

services 729 5413

Unused codes 730-736

Specialized design services 737 5414

Computer systems design and related

services 738 5415

Management, scientific and technical

consulting services 739 5416

Unused codes 740-745

Scientific research and development

services 746 5417

Advertising and related services 747 5418

Veterinary services 748 54194

Other professional, scientific and

technical services 749 5419 exc. 54194

Unused codes 750-756

Management of companies and enterprises: 757 55

Management of companies and

enterprises 757 55

Administrative and support and waste

management services: 758-785 56

Employment services 758 5613

Business support services 759 5614

Unused codes 760-766

Travel arrangement and reservation

services 767 5615

Investigation and security services 768 5616

Services to buildings and dwellings 769 5617 exc. 56173

Unused codes 770-776

Landscaping services 777 56173

Other administrative and other support

services 778 5611, 5612, 5619

Waste management and remediation

services 779 562

Unused codes 780-785

Educational, health and social services: 786-855 61, 62

Educational services: 786-796 61

Elementary and secondary schools 786 6111

Colleges and universities, including

junior colleges 787 6112, 6113

Business, technical, and trade schools

and training 788 6114, 6115

Other schools, instruction, and

educational services 789 6116, 6117

Unused codes 790-796

G–30 Code Lists

U.S. Census Bureau, Census 2000
NAICS Based Census 2000

Category Title Census 2000

1997 NAICS

Equivalent

Educational, health and social services—Con.

Health care and social assistance: 797-855 62

Offices of physicians 797 6211

Offices of dentists 798 6212

Office of chiropractors 799 62131

Unused codes 800-806

Offices of optometrists 807 62132

Offices of other health practitioners 808 6213 exc. 62131, 62132

Outpatient care centers 809 6214

Unused codes 810-816

Home health care services 817 6216

Other health care services 818 6215, 6219

Hospitals 819 622

Unused codes 820-826

Nursing care facilities 827 6231

Unused code 828

Residential care facilities, without

nursing 829 6232, 6233, 6239

Unused codes 830-836

Individual and family services 837 6241

Community food and housing, and

emergency services 838 6242

Vocational rehabilitation services 839 6243

Unused codes 840-846

Child day care services 847 6244

Unused codes 848-855

Arts, entertainment, recreation,

accommodation and food services: 856-876 71, 72

Arts, entertainment, and recreation: 856-865 71

Independent artists, performing arts,

spectator sports, and related industries 856 711

Museums, art galleries, historical sites,

and similar institutions 857 712

Bowling centers 858 71395

Other amusement, gambling, and

recreation industries 859 713 exc. 71395

Unused codes 860-865

Accommodation and food services: 866-876 72

Traveler accommodation 866 7211

Recreational vehicle parks and camps,

and rooming and boarding houses 867 7212, 7213

Restaurants and other food services 868 722 exc. 7224

Drinking places, alcoholic beverages 869 7224

Unused codes 870-876

Other services (except public administration): 877-936 81

Automotive repair and maintenance 877 8111 exc. 811192

Car washes 878 811192

Electronic and precision equipment repair

and maintenance 879 8112

Unused codes 880-886

Commercial and industrial machinery and

equipment repair and maintenance 887 8113

Code Lists G–31

U.S. Census Bureau, Census 2000
NAICS Based Census 2000

Category Title Census 2000

1997 NAICS

Equivalent

Other services (except public

administration)—Con.

Personal and household goods repair and

maintenance 888 8114 exc. 81143

Footwear and leather goods repair 889 81143

Unused codes 890-896

Barber shops 897 812111

Beauty salons 898 812112

Nail salons and other personal care

services 899 812113, 81219

Unused codes 900-906

Drycleaning and laundry services 907 8123

Funeral homes, cemeteries and

crematories 908 8122

Other personal services 909 8129

Unused codes 910-915

Religious organizations 916 8131

Civic, social, advocacy organizations, and

grantmaking and giving services 917 8132, 8133, 8134

Labor unions 918 81393

Business, professional, political, and

similar organizations 919 8139 exc. 81393

Unused codes 920-928

Private households 929 814

Unused codes 930-936

Public administration: 937-966 92 (exc. 928110)

Executive offices and legislative bodies 937 92111, 92112, 92114,

pt. 92115

Public finance activities 938 92113

Other general government and support 939 92119

Unused codes 940-946

Justice, public order, and safety activities 947 922, pt. 92115

Administration of human resource

programs 948 923

Administration of environmental quality

and housing programs 949 924, 925

Unused codes 950-956

Administration of economic programs

and space research 957 926, 927

Unused code 958

National security and international affairs 959 928 (exc. 928110)

Unused codes 960-966

Armed Forces: 967-991 928110

U.S. Army 967 928110

U.S. Air Force 968 928110

U.S. Navy 969 928110

Unused codes 970-976

U.S. Marines 977 928110

U.S. Coast Guard 978 928110

G–32 Code Lists

U.S. Census Bureau, Census 2000
NAICS Based Census 2000

Category Title Census 2000

1997 NAICS

Equivalent

Armed Forces—Con.

U.S. Armed Forces, branch not specified 979 928110

Unused codes 980-986

Military Reserves or National Guard 987 928110

Unused codes 988-991

Unemployed, with no work experience since

1995 992 None

Note: The ‘‘Unused codes’’ are codes primarily used by occupation types.

Code Lists G–33

U.S. Census Bureau, Census 2000
LANGUAGE CODE LIST

Codes Language

000-600 NOT IN UNIVERSE

601 JAMAICAN CREOLE

601 English creoles Belize, Guyanese

602 KRIO

603 HAWAIIAN PIDGIN

604 PIDGIN

605 GULLAH

606 SARAMACCA

607 GERMAN

607 Austrian

607 Swiss

608 PENNSYLVANIA DUTCH

609 YIDDISH

610 DUTCH

610 Flemish

611 AFRIKAANS

612 FRISIAN

613 LUXEMBOURGIAN

614 SWEDISH

615 DANISH

616 NORWEGIAN

617 ICELANDIC

618 FAROESE

619 ITALIAN

620 FRENCH

621 PROVENCAL

622 PATOIS

623 FRENCH CREOLE

623 Haitian Creole

624 CAJUN

625 SPANISH

626 CATALONIAN

627 LADINO

628 PACHUCO

629 PORTUGUESE

630 PAPIA MENTAE

631 RUMANIAN

631 Romanian

632 RHAETO-ROMANIC

632 Romansch

633 WELSH

634 BRETON

635 IRISH GAELIC

636 SCOTTIC GAELIC

637 GREEK

638 ALBANIAN

639 RUSSIAN

640 BIELORUSSIAN

G–34 Code Lists

U.S. Census Bureau, Census 2000
Codes Language

641 UKRAINIAN

642 CZECH

643 KASHUBIAN

644 LUSATIAN

644 Windish

645 POLISH

646 SLOVAK

647 BULGARIAN

648 MACEDONIAN

649 SERBOCROATIAN

649 Bosnian

649 Slavic

649 Yugoslav

650 CROATIAN

651 SERBIAN

652 SLOVENE

653 LITHUANIAN

654 LETTISH

654 Latvian

655 ARMENIAN

656 PERSIAN

656 Dari

656 Farsi

656 Pushto

657 PASHTO

657 Afghani

658 KURDISH

659 BALOCHI

660 TADZHIK

661 OSSETE

662 INDIA, n.e.c.

662 Asian Indian

662 Sanskrit

663 HINDI

664 BENGALI

665 PANJABI

665 Punjabi

666 MARATHI

666 Konkani

667 GUJARATHI

668 BIHARI

669 RAJASTHANI

669 Bhili

670 ORIYA

671 URDU

672 ASSAMESE

673 KASHMIRI

674 NEPALI

675 SINDHI

Code Lists G–35

U.S. Census Bureau, Census 2000
Codes Language

676 PAKISTAN n.e.c.

677 SINHALESE

677 Maldivian

678 ROMANY

679 FINNISH

680 ESTONIAN

681 LAPP

682 HUNGARIAN

683 OTHER URALIC LANGUAGES

683 Mordvin

683 Samoyed

683 Yenisei

684 CHUVASH

685 KARAKALPAK

686 KAZAKH

687 KIRGHIZ

688 KARACHAY

688 Tatar

689 UIGHUR

689 Uzbek

690 AZERBAIJANI

691 TURKISH

692 TURKMEN

693 YAKUT

694 MONGOLIAN

695 TUNGUS

696 CAUCASIAN

696 Circassian

696 Georgian

697 BASQUE

698 DRAVIDIAN

698 Coorgi

698 Tulu

699 BRAHUI

700 GONDI

701 TELUGU

702 KANNADA

703 MALAYALAM

704 TAMIL

705 KURUKH

706 MUNDA

707 BURUSHASKI

708 CHINESE

708 Min

709 HAKKA

710 KAN, HSIANG

711 CANTONESE

711 Toishan

712 MANDARIN

G–36 Code Lists

U.S. Census Bureau, Census 2000
Codes Language

713 FUCHOW

714 FORMOSAN

714 Fukien

714 Hokkien

714 Min Nan

714 Taiwanese

715 WU

715 Shanghainese

716 TIBETAN

717 BURMESE

718 KAREN

719 KACHIN

720 THAI

721 MIAO-YAO, MIEN

721 Mien

722 MIAO, HMONG

722 Hmong

723 JAPANESE

723 Ainu

724 KOREAN

725 LAOTIAN

726 MON-KHMER, CAMBODIAN

726 Cambodian

726 Khmer

727 SIBERIAN LANGUAGES, n.e.c.

728 VIETNAMESE

729 MUONG

730 BUGINESE

731 MOLUCCAN

732 INDONESIAN

733 ACHINESE

734 BALINESE

735 CHAM

736 JAVANESE

737 MADURESE

738 MALAGASY

739 MALAY

739 Bahasa

740 MINANGKABAU

741 SUNDANESE

742 TAGALOG

742 Filipino

743 BISAYAN

743 Ilongo

743 Visayan

744 SEBUANO

744 Cebuano

745 PANGASINAN

746 ILOCANO

Code Lists G–37

U.S. Census Bureau, Census 2000
Codes Language

746 Igorot

747 BIKOL

748 PAMPANGAN

749 GORONTALO

750 MICRONESIAN

751 CAROLINIAN

752 CHAMORRO

752 Guamanian

753 GILBERTESE

754 KUSAIEAN

754 Kosraean

755 MARSHALLESE

756 MOKILESE

757 MORTLOCKESE

758 NAURUAN

759 PALAU

760 PONAPEAN

761 TRUKESE

761 Chuukese

762 ULITHEAN

763 WOLEAI-ULITHI

764 YAPESE

765 MELANESIAN

766 POLYNESIAN

767 SAMOAN

768 TONGAN

769 NIUEAN

770 TOKELAUAN

771 FIJIAN

772 MARQUESAN

772 Tahitian

773 RAROTONGAN

774 MAORI

775 NUKUORO

776 HAWAIIAN

777 ARABIC

778 HEBREW

779 SYRIAC

779 Aramaic

779 Assyrian

779 Chaldean

780 AMHARIC

780 Tigrigna

781 BERBER

782 CHADIC

782 Hausa

G–38 Code Lists

U.S. Census Bureau, Census 2000
Codes Language

783 CUSHITE

783 Oromo

783 Somali

784 SUDANIC

784 Dinka

785 NILOTIC

785 Acholi

785 Luo

785 Nuer

786 NILO-HAMITIC

786 Bari

786 Masai

787 NUBIAN

788 SAHARAN

789 NILO-SAHARAN

789 Fur

789 Songhai

790 KHOISAN

790 Bushman

791 SWAHILI

792 BANTU

792 Bembe

792 Kikuyu

792 Kinyarwanda

792 Luganda

792 Ndebele

792 Shona

792 Tonga

792 Xhosa

792 Zulu

793 MANDE

793 Kpelle

793 Mandingo

793 Mende

794 FULANI

794 Temne

794 Wolof

795 GUR

796 KRU, IBO, YORUBA

796 Akan

796 Ashanti

796 Ewe

796 Fanti

796 Ga

796 Ibo

796 Igbo

796 Nigerian

796 Twi

796 Yoruba

Code Lists G–39

U.S. Census Bureau, Census 2000
Codes Language

797 EFIK

797 Ibibio

798 MBUM AND RELATED

799 AFRICAN, not further specified

800 ALEUT

801 PACIFIC GULF YUPIK

802 ESKIMO

803 INUPIK

803 Inupiaq

804 SAINT LAWRENCE ISLAND YUPIK

804 Siberian Yupik

805 YUPIK

806 ALGONQUIAN

807 ARAPAHO

808 ATSINA

808 Gros Ventre

809 BLACKFOOT

810 CHEYENNE

811 CREE

812 DELAWARE

812 Lenape

813 FOX

813 Mesquakie

814 KICKAPOO

815 MENOMINI

816 FRENCH CREE

816 Mitchif

817 MIAMI

818 MICMAC

819 OJIBWA

819 Chippewa

820 OTTAWA

821 PASSAMAQUODDY

822 PENOBSCOT

823 ABNAKI

824 POTAWATOMI

825 SHAWNEE

826 WIYOT

827 YUROK

828 KUTENAI

829 MAKAH

830 KWAKIUTL

830 Quileute

831-832 NOOTKA

833 LOWER CHEHALIS

834 UPPER CHEHALIS

835 CLALLAM

836 COEUR D’ALENE

G–40 Code Lists

U.S. Census Bureau, Census 2000
Codes Language

837 COLUMBIA

837 Wenatchee

838 COWLITZ

839 SALISH

839 Lummi

840 NOOTSACK

841 OKANOGAN

841 Colville

842 PUGET SOUND SALISH

842 Muckleshoot

842 Nisqualli

842 Puyallup

842 Suquamish

843 QUINAULT

844 TILLAMOOK

845 TWANA

846 HAIDA

847 ATHAPASCAN

847 Athabascan

848 AHTENA

849 HAN

850 INGALIT

851 KOYUKON

852 KUCHIN

852 Gwichin

853 UPPER KUSKOKWIM

854 TANAINA

855 TANANA

856 TANACROSS

857 UPPER TANANA

858 TUTCHONE

859 CHASTA COSTA

860 HUPA

861 OTHER ATHAPASCAN-EYAK LANGUAGES

861 Cahto

862 APACHE

863 KIOWA

864 NAVAHO

864 Navajo

865 EYAK

866 TLINGIT

867 MOUNTAIN MAIDU

867 Maidu

868 NORTHWEST MAIDU

868 Concow

869 SOUTHERN MAIDU

870 COAST MIWOK

871 PLAINS MIWOK

Code Lists G–41

U.S. Census Bureau, Census 2000
Codes Language

872 SIERRA MIWOK

872 Miwok

873 NOMLAKI

874 PATWIN

875 WINTUN

876 FOOTHILL NORTH YOKUTS

877 TACHI

878 SANTIAM

879 SIUSLAW

880 KLAMATH

880 Modoc

881 NEZ PERCE

882 SAHAPTIAN

882 Umatilla

882 Warm Springs

882 Yakama

883 UPPER CHINOOK

883 Chinook

883 Wasco

884 TSIMSHIAN

885 ACHUMAWI

885 Pit River

886 ATSUGEWI

887 KAROK

888 POMO

889 SHASTAN

890 WASHO

891 UP RIVER YUMAN

892 COCOMARICOPA

893 MOHAVE

894 YUMA

894 Quechan

895 DIEGUENO

896 DELTA RIVER YUMAN

896 Cocopah

897 UPLAND YUMAN

898 HAVASUPAI

899 WALAPAI

899 Hualapai

900 YAVAPAI

901 CHUMASH

902 TONKAWA

903 YUCHI

904 CROW

905 HIDATSA

906 MANDAN

G–42 Code Lists

U.S. Census Bureau, Census 2000
Codes Language

907 DAKOTA

907 Assiniboine

907 Lakota

907 Oglala

907 Sioux

908 CHIWERE

908 Iowa

909 WINNEBAGO

909 Ho Chunk

910 KANSA

911 OMAHA

912 OSAGE

913 PONCA

914 QUAPAW

914 Arkansas

915 ALABAMA

916 CHOCTAW

916 Chickasaw

917 MIKASUKI

917 Miccosukee

918 HICHITA

919 KOASATI

919 Coushatta

920 MUSKOGEE

920 Creek

920 Seminole

921 CHETEMACHA

922 YUKI

923 WAPPO

924 KERES

924 Acoma

924 Keresan

924 Laguna

924 Zia

925 IROQUOIS

926 MOHAWK

927 ONEIDA

928 ONONDAGA

929 CAYUGA

930 SENECA

931 TUSCARORA

932 WYANDOT

932 Huron

933 CHEROKEE

934 ARIKARA

935 CADDO

936 PAWNEE

937 WICHITA

Code Lists G–43

U.S. Census Bureau, Census 2000
Codes Language

938 COMANCHE

939 MONO

940 PAIUTE

941 NORTHERN PAIUTE

941 Bannock

942 SOUTHERN PAIUTE

943 CHEMEHUEVI

944 KAWAIISU

945 UTE

946 SHOSHONI

947 PANAMINT

948 HOPI

949 CAHUILLA

950 CUPENO

951 LUISENO

952 SERRANO

953 TUBATULABAL

954 PIMA

954 Papago

954 Tohono O’Odham

955 YAQUI

956 AZTECAN

956 Mexicano

956 Nahuatl

957-958 SONORAN, n.e.c

957 Huichole

957 Tarahumara

959 PICURIS

959 Taos

960 TIWA

960 Isleta

961 SANDIA

962 TEWA

962 Hopi-Tewa

962 San Juan

962 Santa Clara

963 TOWA

964 ZUNI

965 CHINOOK JARGON

966 AMERICAN INDIAN

967 MISUMALPAN

967 Miskito

968 MAYAN LANGUAGES

968 Aguacateco

968 Canjobal

968 Guatemalan

968 Mam

968 Maya

968 Quiche

G–44 Code Lists

U.S. Census Bureau, Census 2000
Codes Language

969 TARASCAN

970 MAPUCHE

971 OTO-MANGUEAN

971 Mixtec

971 Otomi

971 Zapoteca

972 QUECHUA

973 AYMARA

974 ARAWAKIAN

974 Carib

974 Garifuna

975 CHIBCHAN

975 Cuna

976 TUPI-GUARANI

976 Guarani

977 JICARILLA

978 CHIRICAHUA

978 Mescalero Apache

979 SAN CARLOS

979 San Carlos Apache

979 White Mountain

980 KIOWA-APACHE

981 KALISPEL

982 SPOKANE

983-998 LANGUAGE SPECIFIED, NOT LISTED

999 NOT REPORTED

Code Lists G–45

U.S. Census Bureau, Census 2000
OCCUPATION DETAILED CODE LIST

Decennial 2000 SOC and Census 2000 sorted by Census 2000 SOC equivalent

SOC Based Census 2000 Category Title Census 2000 2000 SOC Equivalent

Management, professional and related

occupations: 001-359 11-0000 through 29-0000

Management, business and financial

operations occupations: 001-099 11-0000 and 13-0000

Management occupations: 001-049 11-0000

Chief executives 001 11-1011

General and operations managers 002 11-1021

Legislators 003 11-1031

Advertising and promotions managers 004 11-2011

Marketing and sales managers 005 11-2020

Public relations managers 006 11-2031

Unused codes 007-009

Administrative services managers 010 11-3011

Computer and Information Systems

managers 011 11-3021

Financial managers 012 11-3031

Human resources managers 013 11-3040

Industrial production managers 014 11-3051

Purchasing managers 015 11-3061

Transportation, storage, and distribution

managers 016 11-3071

Unused codes 017-019

Farm, ranch, and other agricultural

managers 020 11-9011

Farmers and Ranchers 021 11-9012

Construction managers 022 11-9021

Education administrators 023 11-9030

Unused codes 024-029

Engineering managers 030 11-9041

Food service managers 031 11-9051

Funeral directors 032 11-9061

Gaming managers 033 11-9071

Lodging managers 034 11-9081

Medical and health services managers 035 11-9111

Natural sciences managers 036 11-9121

Unused codes 037-039

Postmasters and mail superintendents 040 11-9131

Property, real estate, and community

association managers 041 11-9141

Social and community service managers 042 11-9151

Managers, all other 043 11-9199

Unused codes 044-049

Business and financial operations

occupations: 050-099 13-0000

Agents and business managers of artists,

performers, and athletes 050 13-1011

Purchasing agents and buyers, farm

products 051 13-1021

G–46 Code Lists

U.S. Census Bureau, Census 2000
SOC Based Census 2000 Category Title Census 2000 2000 SOC Equivalent

Management, professional and related

occupations—Con.

Management, business and financial

operations occupations—Con.

Business and financial operations

occupations—Con.

Wholesale and retail buyers, except farm

products 052 13-1022

Purchasing agents, except wholesale,

retail, and farm products 053 13-1023

Claims adjusters, appraisers, examiners,

and investigators 054 13-1030

Unused codes 055

Compliance officers, except agriculture,

construction, health and safety, and

transportation 056 13-1041

Unused codes 057-059

Cost estimators 060 13-1051

Unused codes 061

Human resources, training, and labor

relations specialists 062 13-1070

Unused codes 063-069

Logisticians 070 13-1081

Management analysts 071 13-1111

Meeting and convention planners 072 13-1121

Other business operations specialists 073 13-11XX

Unused codes 074-079

Accountants and auditors 080 13-2011

Appraisers and assessors of real estate 081 13-2021

Budget analysts 082 13-2031

Credit analysts 083 13-2041

Financial analysts 084 13-2051

Personal financial advisors 085 13-2052

Insurance underwriters 086 13-2053

Unused codes 087-089

Financial examiners 090 13-2061

Loan counselors and officers 091 13-2070

Unused codes 092

Tax examiners, collectors, and revenue

agents 093 13-2081

Tax preparers 094 13-2082

Financial specialists, all other 095 13-2099

Unused codes 096-099

Professional and related occupations: 100-359 15-0000 through 29-0000

Computer and mathematical science

occupations: 100-129 15-0000

Computer scientists and systems analysts 100 15-10XX

Computer programmers 101 15-1021

Computer software engineers 102 15-1030

Unused codes 103

Computer support specialists 104 15-1041

Unused codes 105

Code Lists G–47

U.S. Census Bureau, Census 2000
SOC Based Census 2000 Category Title Census 2000 2000 SOC Equivalent

Management, professional and related

occupations—Con.

Professional and related occupations—Con.

Computer and mathematical science

occupations—Con.

Database administrators 106 15-1061

Unused codes 107-109

Network and computer systems

administrators 110 15-1071

Network systems and data

communications analysts 111 15-1081

Unused codes 112-119

Actuaries 120 15-2011

Mathematicians 121 15-2021

Operations research analysts 122 15-2031

Statisticians 123 15-2041

Miscellaneous mathematical science

occupations 124 15-2090

Unused codes 125-129

Architecture and engineering occupations: 130-159 17-0000

Architects, except naval 130 17-1010

Surveyors, cartographers, and

photogrammetrists 131 17-1020

Aerospace engineers 132 17-2011

Agricultural engineers 133 17-2021

Biomedical engineers 134 17-2031

Chemical engineers 135 17-2041

Civil engineers 136 17-2051

Unused codes 137-139

Computer hardware engineers 140 17-2061

Electrical and electronics engineers 141 17-2070

Environmental engineers 142 17-2081

Industrial engineers, including health and

safety 143 17-2110

Marine engineers and naval architects 144 17-2121

Materials engineers 145 17-2131

Mechanical engineers 146 17-2141

Unused codes 147-149

Mining and geological engineers,

including mining safety engineers 150 17-2151

Nuclear engineers 151 17-2161

Petroleum engineers 152 17-2171

Engineers, all other 153 17-2199

Drafters 154 17-3010

Engineering technicians, except drafters 155 17-3020

Surveying and mapping technicians 156 17-3031

Unused codes 157-159

Life, physical, and social science

occupations: 160-199 19-0000

Agricultural and food scientists 160 19-1010

Biological scientists 161 19-1020

Unused codes 162-163

G–48 Code Lists

U.S. Census Bureau, Census 2000
SOC Based Census 2000 Category Title Census 2000 2000 SOC Equivalent

Management, professional and related

occupations—Con.

Professional and related occupations—Con.

Life, physical, and social science

occupations—Con.

Conservation scientists and foresters 164 19-1030

Medical scientists 165 19-1040

Unused codes 166-169

Astronomers and physicists 170 19-2010

Atmospheric and space scientists 171 19-2021

Chemists and materials scientists 172 19-2030

Unused codes 173

Environmental scientists and geoscientists 174 19-2040

Unused codes 175

Physical scientists, all other 176 19-2099

Unused codes 177-179

Economists 180 19-3011

Market and survey researchers 181 19-3020

Psychologists 182 19-3030

Sociologists 183 19-3041

Urban and regional planners 184 19-3051

Unused codes 185

Miscellaneous social scientists and related

workers 186 19-3090

Unused codes 187-189

Agricultural and food science technicians 190 19-4011

Biological technicians 191 19-4021

Chemical technicians 192 19-4031

Geological and petroleum technicians 193 19-4041

Nuclear technicians 194 19-4051

Unused codes 195

Other life, physical, and social science

technicians 196 19-40XX

Unused codes 197-199

Community and social services occupations: 200-209 21-0000

Counselors 200 21-1010

Social workers 201 21-1020

Miscellaneous community and social

service specialists 202 21-1090

Unused codes 203

Clergy 204 21-2011

Directors, religious activities and education 205 21-2021

Religious workers, all other 206 21-2099

Unused codes 207-209

Legal occupations: 210-219 23-0000

Lawyers 210 23-1011

Judges, magistrates, and other judicial

workers 211 23-1020

Unused codes 212-213

Paralegals and legal assistants 214 23-2011

Miscellaneous legal support workers 215 23-2090

Unused codes 216-219

Code Lists G–49

U.S. Census Bureau, Census 2000
SOC Based Census 2000 Category Title Census 2000 2000 SOC Equivalent

Management, professional and related

occupations—Con.

Professional and related occupations—Con.

Education, training, and library occupations: 220-259 25-0000

Postsecondary teachers 220 25-1000

Unused codes 221-229

Preschool and kindergarten teachers 230 25-2010

Elementary and middle school teachers 231 25-2020

Secondary school teachers 232 25-2030

Special education teachers 233 25-2040

Other teachers and instructors 234 25-3000

Unused codes 235-239

Archivists, curators, and museum

technicians 240 25-4010

Unused codes 241-242

Librarians 243 25-4021

Library technicians 244 25-4031

Unused codes 245-253

Teacher assistants 254 25-9041

Other education, training, and library

workers 255 25-90XX

Unused codes 256-259

Arts, design, entertainment, sports, and

media occupations: 260-299 27-0000

Artists and related workers 260 27-1010

Unused codes 261-262

Designers 263 27-1020

Unused codes 264-269

Actors 270 27-2011

Producers and directors 271 27-2012

Athletes, coaches, umpires, and related

workers 272 27-2020

Unused codes 273

Dancers and choreographers 274 27-2030

Musicians, singers, and related workers 275 27-2040

Entertainers and performers, sports and

related workers, all other 276 27-2099

Unused codes 277-279

Announcers 280 27-3010

News analysts, reporters and

correspondents 281 27-3020

Public relations specialists 282 27-3031

Editors 283 27-3041

Technical writers 284 27-3042

Writers and authors 285 27-3043

Miscellaneous media and communication

workers 286 27-3090

Unused codes 287-289

Broadcast and sound engineering

technicians and radio operators 290 27-4010

Photographers 291 27-4021

G–50 Code Lists

U.S. Census Bureau, Census 2000
SOC Based Census 2000 Category Title Census 2000 2000 SOC Equivalent

Management, professional and related

occupations—Con.

Professional and related occupations—Con.

Arts, design, entertainment, sports, and

media occupations—Con.

Television, video, and motion picture

camera operators and editors 292 27-4030

Unused codes 293-295

Media and communication equipment

workers, all other 296 27-4099

Unused codes 297-299

Healthcare practitioner and technical

occupations: 300-359 29-0000

Chiropractors 300 29-1011

Dentists 301 29-1020

Unused codes 302

Dietitians and nutritionists 303 29-1031

Optometrists 304 29-1041

Pharmacists 305 29-1051

Physicians and surgeons 306 29-1060

Unused codes 307-310

Physician assistants 311 29-1071

Podiatrists 312 29-1081

Registered nurses 313 29-1111

Audiologists 314 29-1121

Occupational therapists 315 29-1122

Physical therapists 316 29-1123

Unused codes 317-319

Radiation therapists 320 29-1124

Recreational therapists 321 29-1125

Respiratory therapists 322 29-1126

Speech-language pathologists 323 29-1127

Therapists, all other 324 29-1129

Veterinarians 325 29-1131

Health diagnosing and treating

practitioners, all other 326 29-1199

Unused codes 327-329

Clinical laboratory technologists and

technicians 330 29-2010

Dental hygienists 331 29-2021

Diagnostic related technologists and

technicians 332 29-2030

Unused codes 333-339

Emergency medical technicians and

paramedics 340 29-2041

Health diagnosing and treating

practitioner support technicians 341 29-2050

Unused codes 342-349

Licensed practical and licensed vocational

nurses 350 29-2061

Code Lists G–51

U.S. Census Bureau, Census 2000
SOC Based Census 2000 Category Title Census 2000 2000 SOC Equivalent

Management, professional and related

occupations—Con.

Professional and related occupations—Con.

Healthcare practitioner and technical

occupations—Con.

Medical records and health information

technicians 351 29-2071

Opticians, dispensing 352 29-2081

Miscellaneous health technologists and

technicians 353 29-2090

Other healthcare practitioners and

technical occupations 354 29-9000

Unused codes 355-359

Service occupations: 360-469 31-0000 through 39-0000

Healthcare support occupations: 360-369 31-0000

Nursing, psychiatric, and home health

aides 360 31-1010

Occupational therapist assistants and

aides 361 31-2010

Physical therapist assistants and aides 362 31-2020

Massage therapists 363 31-9011

Dental assistants 364 31-9091

Medical assistants and other healthcare

support occupations 365 31-909X

Unused codes 366-369

Protective service occupations: 370-399 33-0000

First-line supervisors/managers of

correctional officers 370 33-1011

First-line supervisors/managers of police

and detectives 371 33-1012

First-line supervisors/managers of fire

fighting and prevention workers 372 33-1021

Supervisors, protective service workers,

all other 373 33-1099

Fire fighters 374 33-2011

Fire inspectors 375 33-2020

Unused codes 376-379

Bailiffs, correctional officers, and jailers 380 33-3010

Unused codes 381

Detectives and criminal investigators 382 33-3021

Fish and game wardens 383 33-3031

Parking enforcement workers 384 33-3041

Police and sheriff’s patrol officers 385 33-3051

Transit and railroad police 386 33-3052

Unused codes 387-389

Animal control workers 390 33-9011

Private detectives and investigators 391 33-9021

Security guards and gaming surveillance

officers 392 33-9030

Unused codes 393

Crossing guards 394 33-9091

Lifeguards and other protective service

workers 395 33-909X

Unused codes 396-399

G–52 Code Lists

U.S. Census Bureau, Census 2000
SOC Based Census 2000 Category Title Census 2000 2000 SOC Equivalent

Service occupations—Con.

Food preparation and serving related

occupations: 400-419 35-0000

Chefs and head cooks 400 35-1011

First-line supervisors/managers of food

preparation and serving workers 401 35-1012

Cooks 402 35-2010

Food preparation workers 403 35-2021

Bartenders 404 35-3011

Combined food preparation and serving

workers, including fast food 405 35-3021

Counter attendants, cafeteria, food

concession, and coffee shop 406 35-3022

Unused codes 407-410

Waiters and waitresses 411 35-3031

Food servers, nonrestaurant 412 35-3041

Dining room and cafeteria attendants and

bartender helpers 413 35-9011

Dishwashers 414 35-9021

Hosts and hostesses, restaurant, lounge,

and coffee shop 415 35-9031

Food preparation and serving related

workers, all other 416 35-9099

Unused codes 417-419

Building and grounds cleaning and

maintenance occupations: 420-429 37-0000

First-line supervisors/managers of

housekeeping and janitorial workers 420 37-1011

First-line supervisors/managers of

landscaping, lawn service, and

groundskeeping workers 421 37-1012

Janitors and building cleaners 422 37-201X

Maids and housekeeping cleaners 423 37-2012

Pest control workers 424 37-2021

Grounds maintenance workers 425 37-3010

Unused codes 426-429

Personal care and service occupations: 430-469 39-0000

First-line supervisors/managers of gaming

workers 430 39-1010

Unused codes 431

First-line supervisors/managers of

personal service workers 432 39-1021

Unused codes 433

Animal trainers 434 39-2011

Nonfarm animal caretakers 435 39-2021

Unused codes 436-439

Gaming services workers 440 39-3010

Motion picture projectionists 441 39-3021

Ushers, lobby attendants, and ticket

takers 442 39-3031

Code Lists G–53

U.S. Census Bureau, Census 2000
SOC Based Census 2000 Category Title Census 2000 2000 SOC Equivalent

Service occupations—Con.

Personal care and service

occupations—Con.

Miscellaneous entertainment attendants

and related workers 443 39-3090

Unused codes 444-445

Funeral service workers 446 39-4000

Unused codes 447-449

Barbers 450 39-5011

Hairdressers, hairstylists, and

cosmetologists 451 39-5012

Miscellaneous personal appearance

workers 452 39-5090

Baggage porters, bellhops, and concierges 453 39-6010

Tour and travel guides 454 39-6020

Transportation attendants 455 39-6030

Unused codes 456-459

Child care workers 460 39-9011

Personal and home care aides 461 39-9021

Recreation and fitness workers 462 39-9030

Unused codes 463

Residential advisors 464 39-9041

Personal care and service workers, all

other 465 39-9099

Unused codes 466-469

Sales and office occupations: 470-599 41-0000 through 43-0000

Sales and related occupations: 470-499 41-0000

First-line supervisors/managers of retail

sales workers 470 41-1011

First-line supervisors/managers of

non-retail sales workers 471 41-1012

Cashiers 472 41-2010

Unused codes 473

Counter and rental clerks 474 41-2021

Parts salespersons 475 41-2022

Retail salespersons 476 41-2031

Unused codes 477-479

Advertising sales agents 480 41-3011

Insurance sales agents 481 41-3021

Securities, commodities, and financial

services sales agents 482 41-3031

Travel agents 483 41-3041

Sales representatives, services, all other 484 41-3099

Sales representatives, wholesale and

manufacturing 485 41-4010

Unused codes 486-489

Models, demonstrators, and product

promoters 490 41-9010

Unused codes 491

Real estate brokers and sales agents 492 41-9020

Sales engineers 493 41-9031

Telemarketers 494 41-9041

G–54 Code Lists

U.S. Census Bureau, Census 2000
SOC Based Census 2000 Category Title Census 2000 2000 SOC Equivalent

Sales and office occupations—Con.

Sales and related occupations—Con.

Door-to-door sales workers, news and

street vendors, and related workers 495 41-9091

Sales and related workers, all other 496 41-9099

Unused codes 497-499

Office and administrative support

occupations: 500-599 43-0000

First-line supervisors/managers of office

and administrative support workers 500 43-1011

Switchboard operators, including

answering service 501 43-2011

Telephone operators 502 43-2021

Communications equipment operators, all

other 503 43-2099

Unused codes 504-509

Bill and account collectors 510 43-3011

Billing and posting clerks and machine

operators 511 43-3021

Bookkeeping, accounting, and auditing

clerks 512 43-3031

Gaming cage workers 513 43-3041

Payroll and timekeeping clerks 514 43-3051

Procurement clerks 515 43-3061

Tellers 516 43-3071

Unused codes 517-519

Brokerage clerks 520 43-4011

Correspondence clerks 521 43-4021

Court, municipal, and license clerks 522 43-4031

Credit authorizers, checkers, and clerks 523 43-4041

Customer service representatives 524 43-4051

Eligibility interviewers, government

programs 525 43-4061

File clerks 526 43-4071

Unused codes 527-529

Hotel, motel, and resort desk clerks 530 43-4081

Interviewers, except eligibility and loan 531 43-4111

Library assistants, clerical 532 43-4121

Loan interviewers and clerks 533 43-4131

New accounts clerks 534 43-4141

Order clerks 535 43-4151

Human resources assistants, except

payroll and timekeeping 536 43-4161

Unused codes 537-539

Receptionists and information clerks 540 43-4171

Reservation and transportation ticket

agents and travel clerks 541 43-4181

Information and record clerks, all other 542 43-4199

Unused codes 543-549

Cargo and freight agents 550 43-5011

Couriers and messengers 551 43-5021

Dispatchers 552 43-5030

Code Lists G–55

U.S. Census Bureau, Census 2000
SOC Based Census 2000 Category Title Census 2000 2000 SOC Equivalent

Sales and office occupations—Con.

Sales and related occupations—Con.

Office and administrative support

occupations—Con.

Meter readers, utilities 553 43-5041

Postal service clerks 554 43-5051

Postal service mail carriers 555 43-5052

Postal service mail sorters, processors,

and processing machine operators 556 43-5053

Unused codes 557-559

Production, planning, and expediting

clerks 560 43-5061

Shipping, receiving, and traffic clerks 561 43-5071

Stock clerks and order fillers 562 43-5081

Weighers, measurers, checkers, and

samplers, recordkeeping 563 43-5111

Unused codes 564-569

Secretaries and administrative assistants 570 43-6010

Unused codes 571-579

Computer operators 580 43-9011

Data entry keyers 581 43-9021

Word processors and typists 582 43-9022

Desktop publishers 583 43-9031

Insurance claims and policy processing

clerks 584 43-9041

Mail clerks and mail machine operators,

except postal service 585 43-9051

Office clerks, general 586 43-9061

Unused codes 587-589

Office machine operators, except

computer 590 43-9071

Proofreaders and copy markers 591 43-9081

Statistical assistants 592 43-9111

Office and administrative support

workers, all other 593 43-9199

Unused codes 594-599

Farming, fishing, and forestry occupations: 600-619 45-0000

First-line supervisors/managers of

farming, fishing, and forestry workers 600 45-1010

Agricultural inspectors 601 45-2011

Animal breeders 602 45-2021

Unused codes 603

Graders and sorters, agricultural products 604 45-2041

Miscellaneous agricultural workers 605 45-2090

Unused codes 606-609

Fishers and related fishing workers 610 45-3011

Hunters and trappers 611 45-3021

Forest and conservation workers 612 45-4011

Logging workers 613 45-4020

Unused codes 614-619

G–56 Code Lists

U.S. Census Bureau, Census 2000
SOC Based Census 2000 Category Title Census 2000 2000 SOC Equivalent

Construction, extraction and maintenance

occupations: 620-769 47-0000 through 49-0000

Construction and extraction occupations: 620-699 47-0000

First-line supervisors/managers of

construction trades and extraction

workers 620 47-1011

Boilermakers 621 47-2011

Brickmasons, blockmasons, and

stonemasons 622 47-2020

Carpenters 623 47-2031

Carpet, floor, and tile installers and

finishers 624 47-2040

Cement masons, concrete finishers, and

terrazzo workers 625 47-2050

Construction laborers 626 47-2061

Unused codes 627-629

Paving, surfacing, and tamping equipment

operators 630 47-2071

Pile-driver operators 631 47-2072

Operating engineers and other

construction equipment operators 632 47-2073

Drywall installers, ceiling tile installers,

and tapers 633 47-2080

Unused codes 634

Electricians 635 47-2111

Glaziers 636 47-2121

Unused codes 637-639

Insulation workers 640 47-2130

Unused codes 641

Painters, construction and maintenance 642 47-2141

Paperhangers 643 47-2142

Pipelayers, plumbers, pipefitters, and

steamfitters 644 47-2150

Unused codes 645

Plasterers and stucco masons 646 47-2161

Unused codes 647-649

Reinforcing iron and rebar workers 650 47-2171

Roofers 651 47-2181

Sheet metal workers 652 47-2211

Structural iron and steel workers 653 47-2221

Unused codes 654-659

Helpers, construction trades 660 47-3010

Unused codes 661-665

Construction and building inspectors 666 47-4011

Unused codes 667-669

Elevator installers and repairers 670 47-4021

Fence erectors 671 47-4031

Hazardous materials removal workers 672 47-4041

Highway maintenance workers 673 47-4051

Rail-track laying and maintenance

equipment operators 674 47-4061

Code Lists G–57

U.S. Census Bureau, Census 2000
SOC Based Census 2000 Category Title Census 2000 2000 SOC Equivalent

Construction, extraction and maintenance

occupations—Con. 620-769 47-0000 through 49-0000

Construction and extraction

occupations—Con.

Septic tank servicers and sewer pipe

cleaners 675 47-4071

Miscellaneous construction and related

workers 676 47-4090

Unused codes 677-679

Derrick, rotary drill, and service unit

operators, oil, gas, and mining 680 47-5010

Unused codes 681

Earth drillers, except oil and gas 682 47-5021

Explosives workers, ordnance handling

experts, and blasters 683 47-5031

Mining machine operators 684 47-5040

Unused codes 685-690

Roof bolters, mining 691 47-5061

Roustabouts, oil and gas 692 47-5071

Helpers—extraction workers 693 47-5081

Other extraction workers 694 47-50XX

Unused codes 695-699

Installation, maintenance, and repair

occupations: 700-769 49-0000

First-line supervisors/managers of

mechanics, installers, and repairers 700 49-1011

Computer, automated teller, and office

machine repairers 701 49-2011

Radio and telecommunications equipment

installers and repairers 702 49-2020

Avionics technicians 703 49-2091

Electric motor, power tool, and related

repairers 704 49-2092

Electrical and electronics installers and

repairers, transportation equipment 705 49-2093

Unused codes 706-709

Electrical and electronics repairers,

industrial and utility 710 49-209X

Electronic equipment installers and

repairers, motor vehicles 711 49-2096

Electronic home entertainment equipment

installers and repairers 712 49-2097

Security and fire alarm systems installers 713 49-2098

Aircraft mechanics and service technicians 714 49-3011

Automotive body and related repairers 715 49-3021

Automotive glass installers and repairers 716 49-3022

Unused codes 717-719

Automotive service technicians and

mechanics 720 49-3023

Bus and truck mechanics and diesel

engine specialists 721 49-3031

G–58 Code Lists

U.S. Census Bureau, Census 2000
SOC Based Census 2000 Category Title Census 2000 2000 SOC Equivalent

Construction, extraction and maintenance

occupations—Con.

Installation, maintenance, and repair

occupations—Con.

Heavy vehicle and mobile equipment

service technicians and mechanics 722 49-3040

Unused codes 723

Small engine mechanics 724 49-3050

Unused codes 725

Miscellaneous vehicle and mobile

equipment mechanics, installers, and

repairers 726 49-3090

Unused codes 727-729

Control and valve installers and repairers 730 49-9010

Heating, air conditioning, and

refrigeration mechanics and installers 731 49-9021

Home appliance repairers 732 49-9031

Industrial and refractory machinery

mechanics 733 49-904X

Maintenance and repair workers, general 734 49-9042

Maintenance workers, machinery 735 49-9043

Millwrights 736 49-9044

Unused codes 737-740

Electrical power-line installers and

repairers 741 49-9051

Telecommunications line installers and

repairers 742 49-9052

Precision instrument and equipment

repairers 743 49-9060

Unused codes 744-750

Coin, vending, and amusement machine

servicers and repairers 751 49-9091

Commercial divers 752 49-9092

Unused codes 753

Locksmiths and safe repairers 754 49-9094

Manufactured building and mobile home

installers 755 49-9095

Riggers 756 49-9096

Unused codes 757-759

Signal and track switch repairers 760 49-9097

Helpers—installation, maintenance, and

repair workers 761 49-9098

Other installation, maintenance, and

repair workers 762 49-909X

Unused codes 763-769

Production, transportation and material moving

occupations: 770-979 51-0000 through 53-0000

Production occupations: 770-899 51-0000

First-line supervisors/managers of

production and operating workers 770 51-1011

Aircraft structure, surfaces, rigging, and

systems assemblers 771 51-2011

Code Lists G–59

U.S. Census Bureau, Census 2000
SOC Based Census 2000 Category Title Census 2000 2000 SOC Equivalent

Production, transportation and material moving

occupations—Con.

Production occupations—Con.

Electrical, electronics, and

electromechanical assemblers 772 51-2020

Engine and other machine assemblers 773 51-2031

Structural metal fabricators and fitters 774 51-2041

Miscellaneous assemblers and fabricators 775 51-2090

Unused codes 776-779

Bakers 780 51-3011

Butchers and other meat, poultry, and fish

processing workers 781 51-3020

Unused codes 782

Food and tobacco roasting, baking, and

drying machine operators and tenders 783 51-3091

Food batchmakers 784 51-3092

Food cooking machine operators and

tenders 785 51-3093

Unused codes 786-789

Computer control programmers and

operators 790 51-4010

Unused codes 791

Extruding and drawing machine setters,

operators, and tenders, metal and plastic 792 51-4021

Forging machine setters, operators, and

tenders, metal and plastic 793 51-4022

Rolling machine setters, operators, and

tenders, metal and plastic 794 51-4023

Cutting, punching, and press machine

setters, operators, and tenders, metal

and plastic 795 51-4031

Drilling and boring machine tool setters,

operators, and tenders, metal and plastic 796 51-4032

Unused codes 797-799

Grinding, lapping, polishing, and buffing

machine tool setters, operators, and

tenders, metal and plastic 800 51-4033

Lathe and turning machine tool setters,

operators, and tenders, metal and plastic 801 51-4034

Milling and planing machine setters,

operators, and tenders, metal and plastic 802 51-4035

Machinists 803 51-4041

Metal furnace and kiln operators and

tenders 804 51-4050

Unused codes 805

Model makers and patternmakers, metal

and plastic 806 51-4060

Unused codes 807-809

Molders and molding machine setters,

operators, and tenders, metal and plastic 810 51-4070

Unused codes 811

G–60 Code Lists

U.S. Census Bureau, Census 2000
SOC Based Census 2000 Category Title Census 2000 2000 SOC Equivalent

Production, transportation and material moving

occupations—Con.

Production occupations—Con.

Multiple machine tool setters, operators,

and tenders, metal and plastic 812 51-4081

Tool and die makers 813 51-4111

Welding, soldering, and brazing workers 814 51-4120

Heat treating equipment setters,

operators, and tenders, metal and plastic 815 51-4191

Lay-out workers, metal and plastic 816 51-4192

Unused codes 817-819

Plating and coating machine setters,

operators, and tenders, metal and plastic 820 51-4193

Tool grinders, filers, and sharpeners 821 51-4194

Metalworkers and plastic workers, all

other 822 51-4199

Bookbinders and bindery workers 823 51-5010

Job printers 824 51-5021

Prepress technicians and workers 825 51-5022

Printing machine operators 826 51-5023

Unused codes 827-829

Laundry and dry-cleaning workers 830 51-6011

Pressers, textile, garment, and related

materials 831 51-6021

Sewing machine operators 832 51-6031

Shoe and leather workers and repairers 833 51-6041

Shoe machine operators and tenders 834 51-6042

Tailors, dressmakers, and sewers 835 51-6050

Textile bleaching and dyeing machine

operators and tenders 836 51-6061

Unused codes 837-839

Textile cutting machine setters, operators,

and tenders 840 51-6062

Textile knitting and weaving machine

setters, operators, and tenders 841 51-6063

Textile winding, twisting, and drawing out

machine setters, operators, and tenders 842 51-6064

Extruding and forming machine setters,

operators, and tenders, synthetic and

glass fibers 843 51-6091

Fabric and apparel patternmakers 844 51-6092

Upholsterers 845 51-6093

Textile, apparel, and furnishings workers,

all other 846 51-6099

Unused codes 847-849

Cabinetmakers and bench carpenters 850 51-7011

Furniture finishers 851 51-7021

Model makers and patternmakers, wood 852 51-7030

Sawing machine setters, operators, and

tenders, wood 853 51-7041

Code Lists G–61

U.S. Census Bureau, Census 2000
SOC Based Census 2000 Category Title Census 2000 2000 SOC Equivalent

Production, transportation and material moving

occupations—Con.

Production occupations—Con.

Woodworking machine setters, operators,

and tenders, except sawing 854 51-7042

Woodworkers, all other 855 51-7099

Unused codes 856-859

Power plant operators, distributors, and

dispatchers 860 51-8010

Stationary engineers and boiler operators 861 51-8021

Water and liquid waste treatment plant

and system operators 862 51-8031

Miscellaneous plant and system operators 863 51-8090

Chemical processing machine setters,

operators, and tenders 864 51-9010

Crushing, grinding, polishing, mixing, and

blending workers 865 51-9020

Unused codes 866-870

Cutting workers 871 51-9030

Extruding, forming, pressing, and

compacting machine setters, operators,

and tenders 872 51-9041

Furnace, kiln, oven, drier, and kettle

operators and tenders 873 51-9051

Inspectors, testers, sorters, samplers, and

weighers 874 51-9061

Jewelers and precious stone and metal

workers 875 51-9071

Medical, dental, and ophthalmic

laboratory technicians 876 51-9080

Unused codes 877-879

Packaging and filling machine operators

and tenders 880 51-9111

Painting workers 881 51-9120

Unused codes 882

Photographic process workers and

processing machine operators 883 51-9130

Semiconductor processors 884 51-9141

Cementing and gluing machine operators

and tenders 885 51-9191

Cleaning, washing, and metal pickling

equipment operators and tenders 886 51-9192

Unused codes 887-889

Cooling and freezing equipment operators

and tenders 890 51-9193

Etchers and engravers 891 51-9194

Molders, shapers, and casters, except

metal and plastic 892 51-9195

Paper goods machine setters, operators,

and tenders 893 51-9196

Tire builders 894 51-9197

Helpers—production workers 895 51-9198

Production workers, all other 896 51-9199

Unused codes 897-899

G–62 Code Lists

U.S. Census Bureau, Census 2000
SOC Based Census 2000 Category Title Census 2000 2000 SOC Equivalent

Production, transportation and material moving

occupations—Con.

Transportation and material moving

occupations: 900-979 53-0000

Supervisors, transportation and material

moving workers 900 53-1000

Unused codes 901-902

Aircraft pilots and flight engineers 903 53-2010

Air traffic controllers and airfield

operations specialists 904 53-2020

Unused codes 905-910

Ambulance drivers and attendants, except

emergency medical technicians 911 53-3011

Bus drivers 912 53-3020

Driver/sales workers and truck drivers 913 53-3030

Taxi drivers and chauffeurs 914 53-3041

Motor vehicle operators, all other 915 53-3099

Unused codes 916-919

Locomotive engineers and operators 920 53-4010

Unused codes 921-922

Railroad brake, signal, and switch

operators 923 53-4021

Railroad conductors and yardmasters 924 53-4031

Unused codes 925

Subway, streetcar, and other rail

transportation workers 926 53-40XX

Unused codes 927-929

Sailors and marine oilers 930 53-5011

Ship and boat captains and operators 931 53-5020

Unused codes 932

Ship engineers 933 53-5031

Bridge and lock tenders 934 53-6011

Parking lot attendants 935 53-6021

Service station attendants 936 53-6031

Unused codes 937-940

Transportation inspectors 941 53-6051

Other transportation workers 942 53-60XX

Unused codes 943-949

Conveyor operators and tenders 950 53-7011

Crane and tower operators 951 53-7021

Dredge, excavating, and loading machine

operators 952 53-7030

Unused codes 953-955

Hoist and winch operators 956 53-7041

Unused codes 957-959

Industrial truck and tractor operators 960 53-7051

Cleaners of vehicles and equipment 961 53-7061

Laborers and freight, stock, and material

movers, hand 962 53-7062

Machine feeders and offbearers 963 53-7063

Packers and packagers, hand 964 53-7064

Code Lists G–63

U.S. Census Bureau, Census 2000
SOC Based Census 2000 Category Title Census 2000 2000 SOC Equivalent

Production, transportation and material moving

occupations—Con.

Transportation and material moving

occupations—Con.

Pumping station operators 965 53-7070

Unused codes 966-971

Refuse and recyclable material collectors 972 53-7081

Shuttle car operators 973 53-7111

Tank car, truck, and ship loaders 974 53-7121

Material moving workers, all other 975 53-7199

Unused codes 976-979

Military specific occupations 980-983 55-0000

Military officer and special tactical

operations leaders/managers 980 55-1000

First-line enlisted military

supervisors/managers 981 55-2000

Military enlisted tactical operations and

air/weapons specialists and crew

members 982 55-3000

Military, rank not specified 983 —

Unused codes 984-991

Unemployed, with no work experience since

1995 992

G–64 Code Lists

U.S. Census Bureau, Census 2000
Note:

The Census 2000 occupational classification has 509 categories. Of these, 369 exactly match

SOC detailed categories; another 127 match the SOC at its broad category or minor group level.

There are 13 aggregates of multiple SOC categories that do not have an exact match to a single

SOC code. Since each of the 13 aggregates contains more than one SOC equivalent, the Census

Bureau will us an ‘‘X’’ or ‘‘XX’’ designation in tabulations that show data for these aggregates.

These aggregates are as follows:

Census Code and Title SOC Designation and Title SOC

Code

073 – Other Business Operations

Specialists

13-11XX – Miscellaneous Business Operations Specialists

including Emergency Management Specialist

13-1061

13-1199

100 – Computer Scientists and

Systems Analysts

15-10XX – Miscellaneous Computer Specialists including

Computer and Information Scientists and Computer

Systems Analysts

15-1011

15-1051

15-1099

196 – Other Life, Physical, and

Social Science Technicians

19-40XX – Miscellaneous Life, Physical, and Social Science

Technicians including Social Science Research Assistants

19-4061

19-4090

255 – Other Education, Training,

and Library Workers

25-90XX – Miscellaneous Education, Training, and Library

Workers except Teacher Assistants

25-9011

25-9021

25-9031

25-9099

365 – Medical Assistants and

Other Healthcare Support

Occupations

31-909X – Miscellaneous Healthcare Support Workers, except

Dental Assistants

31-9092

31-9093

31-9094

31-9095

31-9096

31-9099

395 – Lifeguards and Other

Protective Service Workers

33-909X – Miscellaneous Protective Service Workers, except

Crossing Guards

33-9092

33-9099

422 – Janitors and Building

Cleaners

37-201X – Building Cleaning Workers, except Maids and

Housekeeping Cleaners

37-2011

37-2019

694 – Other Extraction Workers 47-50XX – Miscellaneous Extraction Workers including Rock

Splitters, Quarry

47-5051

47-5099

710 – Electrical and Electronics

Repairers, Industrial and Utility

49-209X – Electrical and Electronics Repairers, Commercial

and Industrial Equipment, Powerhouse, Substation, and Relay

49-2094

49-2095

733 – Industrial and Refractory

Machinery Mechanics

49-904X – Industrial Machinery Mechanics plus Refractory

Materials Repairers, Except Brickmasons

49-9041

49-9045

762 – Other Installation,

Maintenance, and Repair Workers

49-909X – Installation, Maintenance, and Repair Workers, All

Other, including Fabric Menders, Except Garment

49-9093

49-9099

926 – Subway, Streetcar, and

Other Rail Transportation

Workers

53-40XX – Miscellaneous Rail Transportation Workers

including Subway and Streetcar Operators

53-4041

53-4099

942 – Other Transportation

Workers

53-60XX – Miscellaneous Transportation Workers including

TrafficTechnicians

53-6041

53-6099

Code Lists G–65

U.S. Census Bureau, Census 2000
RACE

WHITE (100-199)

100 White (Checkbox)

101 White

102 Arab

103 English

104 French

105 German

106 Irish

107 Italian

108 Near Easterner

109 Polish

110 Scottish

111 Armenian

112 Assyrian

113 Egyptian

114 Iranian

115 Iraqi

116 Lebanese

117 Middle East

118 Palestinian

119 Syrian

120 Other Arab

121 Afghanistani

122 Israeli

123 Californio

124 Cajun

125-139 Not Used

140 Multiple WHITE responses

141-199 Not Used

BLACK OR AFRICAN AMERICAN (200-299)

200 Black, African Am., or Negro (Checkbox)

201 Black

202 African

203 African American

204 Afro-American

205 Nigritian

206 Negro

207 Bahamian

208 Barbadian

209 Botswana

210 Not Used

211 Not Used

212 Not Used

213 Ethiopian

214 Haitian

215 Jamaican

216 Liberian

217 Not Used

218 Namibian

219 Nigerian

220 Other African

221 Not Used

G–66 Code Lists

U.S. Census Bureau, Census 2000
RACE—Con.

BLACK OR AFRICAN AMERICAN (200-299)—Con.

222 Tobago

223 Trinidad

224 West Indies

225 Zaire

226-239 Not Used

240 Multiple BLACK OR AFRICAN AMERICAN responses

241-299 Not Used

AMERICAN INDIAN AND ALASKA NATIVE (300-399, A01-R99)

300 American Indian or Alaska Native (Checkbox)

301-399 Not Used

Abenaki

A01 Abenaki Nation of Missiquoi

A02-A04 Not Used

Algonquian

A05 Algonquian

A06-A08 Not Used

Apache

A09 Apache

A10 Chiricahua

A11 Fort Sill Apache

A12 Jicarilla Apache

A13 Lipan Apache

A14 Mescalero Apache

A15 Oklahoma Apache

A16 Payson Tonto Apache

A17 San Carlos Apache

A18 White Mountain Apache

A19-A23 Not Used

Arapahoe

A24 Arapahoe

A25 Northern Arapahoe

A26 Southern Arapahoe

A27 Wind River Arapahoe

A28-A30 Not Used

Arikara

A31 Arikara

A32-A33 Not Used

Assiniboine

A34 Assiniboine

A35 Fort Peck Assiniboine

A36 Fort Belknap Assiniboine

A37 Not Used

Code Lists G–67

U.S. Census Bureau, Census 2000
RACE—Con.

AMERICAN INDIAN AND ALASKA NATIVE (300-399, A01-R99)—Con.

Assiniboine Sioux

A38 Assiniboine Sioux

A39 Fort Peck Assiniboine and Sioux

A40-A41 Not Used

Bannock

A42 Bannock

A43-A44 Not Used

Blackfeet

A45 Blackfeet

A46-A50 Not Used

Brotherton

A51 Brotherton

A52-A53 Not Used

Burt Lake Band

A54 Burt Lake Band

A55 Not Used

Caddo

A56 Caddo

A57 Caddo Indian Tribe of Oklahoma

A58 Caddo Adais Indians

A59-A60 Not Used

Cahuilla

A61 Agua Caliente Band of Cahuilla Indians

A62 Augustine

A63 Cabazon Band of Cahuilla Mission Indians

A64 Cahuilla

A65 Los Coyotes Band of Cahuilla Mission Indians

A66 Morongo Band of Cahuilla Mission Indians

A67 Santa Rosa Cahuilla

A68 Torres-Martinez Band of Cahuilla Mission Indians

A69 Ramona Band or Village of Cahuilla Mission Indians

A70-A74 Not Used

California Tribes

A75 Cahto Indian Tribe of the Laytonville Rancheria

A76 Chimariko

A77 Coast Miwok

A78 Not Used

A79 Kawaiisu

A80 Kern River Paiute Council

A81 Mattole

A82 Red Wood

A83 Santa Rosa Indian Community

A84 Takelma

G–68 Code Lists

U.S. Census Bureau, Census 2000
RACE—Con.

AMERICAN INDIAN AND ALASKA NATIVE (300-399, A01-R99)—Con.

California Tribes—Con.

A85 Wappo

A86 Yana

A87 Yuki

A88 Bear River Band of Rohnerville Rancheria

A89-A90 Not Used

A91 (See Tolowa heading)

A92-A93 Not Used

Canadian and Latin American

A94 Canadian Indian

A95 Central American Indian

A96 French American Indian

A97 Mexican American Indian

A98 South American Indian

A99 Spanish American Indian

B01-B03 Not Used

Catawba

B04 Catawba Indian Nation

B05-B06 Not Used

Cayuse

B07 Cayuse

B08-B10 Not Used

Chehalis

B11 Chehalis

B12-B13 Not Used

Chemakuan

B14 Chemakuan

B15 Hoh Indian Tribe

B16 Quileute

B17-B18 Not Used

Chemehuevi

B19 Chemehuevi

B20 Not Used

Cherokee

B21 Cherokee

B22 Cherokee Alabama

B23 Cherokees of Northeast Alabama

B24 Cherokees of Southeast Alabama

B25 Eastern Cherokee

B26 Echota Cherokee

B27 Georgia Eastern Cherokee

B28 Northern Cherokee Nation of Missouri and Arkansas

B29 Tuscola

Code Lists G–69

U.S. Census Bureau, Census 2000
RACE—Con.

AMERICAN INDIAN AND ALASKA NATIVE (300-399, A01-R99)—Con.

Cherokee—Con.

B30 United Keetoowah Band of Cherokee

B31 Western Cherokee

B32 Southeastern Cherokee Council

B33 Sac River Band of the Chickamauga-Cherokee

B34 White River Band of the Chickamauga-Cherokee

B35 Four Winds Cherokee

B36 Cherokee of Georgia

Cherokee Shawnee

B37 Cherokee Shawnee

B38-B39 Not Used

Cheyenne

B40 Cheyenne

B41 Northern Cheyenne

B42 Southern Cheyenne

B43-B45 Not Used

Cheyenne-Arapaho

B46 Cheyenne-Arapaho

B47-B48 Not Used

Chickahominy

B49 Chickahominy Indian Tribe

B50 Chickahominy Eastern Band

B51-B52 Not Used

Chickasaw

B53 Chickasaw

B54-B56 Not Used

Chinook

B57 Chinook

B58 Clatsop

B59 Columbia River Chinook

B60 Kathlamet

B61 Upper Chinook

B62 Wakiakum Chinook

B63 Willapa Chinook

B64 Wishram

B65-B66 Not Used

Chippewa

B67 Bad River Band of the Lake Superior Tribe

B68 Bay Mills Indian Community of the Sault Ste. Marie Band

B69 Bois Forte/Nett Lake Band of Chippewa

B70 Burt Lake Chippewa

B71 Chippewa

B72 Fond du Lac

G–70 Code Lists

U.S. Census Bureau, Census 2000
RACE—Con.

AMERICAN INDIAN AND ALASKA NATIVE (300-399, A01-R99)—Con.

Chippewa—Con.

B73 Grand Portage

B74 Grand Traverse Band of Ottawa and Chippewa Indians

B75 Keweenaw Bay Indian Community of the L’Anse and Ontonagon Bands

B76 Lac Court Oreilles Band of Lake Superior Chippewa

B77 Lac du Flambeau

B78 Lac Vieux Desert Band of Lake Superior Chippewa

B79 Lake Superior

B80 Leech Lake

B81 Little Shell Chippewa

B82 Mille Lacs

B83 Minnesota Chippewa

B84 Ontonagon

B85 Red Cliff Band of Lake Superior Chippewa

B86 Red Lake Band of Chippewa Indians

B87 Saginaw Chippewa

B88 St. Croix Chippewa

B89 Sault Ste. Marie Chippewa

B90 Sokoagon Chippewa

B91 Turtle Mountain Band

B92 White Earth

B93 Swan Creek Black River Confederate Tribe

B94-B99 Not Used

Chippewa Cree

C01 Not Used

C02 Rocky Boy’s Chippewa Cree

C03-C04 Not Used

Chitimacha

C05 Chitimacha Tribe of Louisiana

C06-C07 Not Used

Choctaw

C08 Choctaw

C09 Clifton Choctaw

C10 Jena Band of Choctaw

C11 Mississippi Band of Choctaw

C12 Mowa Band of Choctaw

C13 Oklahoma Choctaw

C14-C16 Not Used

Choctaw-Apache

C17 Choctaw-Apache Community of Ebarb

C18-C19 Not Used

Chumash

C20 Chumash

C21 Santa Ynez

C22 San Luis Rey Mission Indian

C23-C24 Not Used

Code Lists G–71

U.S. Census Bureau, Census 2000
RACE—Con.

AMERICAN INDIAN AND ALASKA NATIVE (300-399, A01-R99)—Con.

Clear Lake

C25 Clear Lake

Coeur D’Alene

C26 Coeur D’Alene

C27-C28 Not Used

Coharie

C29 Coharie

C30-C31 Not Used

Colorado River Indian

C32 Colorado River

C33-C34 Not Used

Colville

C35 Colville

C36-C38 Not Used

Comanche

C39 Comanche

C40 Oklahoma Comanche

C41-C43 Not Used

Coos, Lower Umpqua, and Siuslaw

C44 Coos, Lower Umpqua, and Siuslaw

C45 Not Used

Coos

C46 Coos

Coquille

C47 Coquille

C48 Not Used

Costanoan

C49 Costanoan

C50-C51 Not Used

Coushatta

C52 Alabama Coushatta Tribes of Texas

C53 Coushatta

C54-C55 Not Used

Cowlitz

C56 Cowlitz

C57-C58 Not Used

G–72 Code Lists

U.S. Census Bureau, Census 2000
RACE—Con.

AMERICAN INDIAN AND ALASKA NATIVE (300-399, A01-R99)—Con.

Cree

C59 Cree

C60-C63 Not Used

Creek

C64 Alabama Creek

C65 Alabama Quassarte Tribal Town

C66 Muscogee (Creek) Nation

C67 Eastern Creek

C68 Eastern Muscogee

C69 Kialegee Tribal Town

C70 Lower Muscogee Creek Tama Tribal Town

C71 Machis Lower Creek Indian

C72 Poarch Creek

C73 Principal Creek Indian Nation

C74 Star Clan of Muskogee Creeks

C75 Thlopthlocco Tribal Town

C76 Tuckabachee

C77-C80 Not Used

Croatan

C81 Croatan

C82 Not Used

Crow

C83 Crow

C84-C86 Not Used

Cumberland

C87 Cumberland County Association for Indian People

C88 Not Used

Cupeno

C89 Agua Caliente

C90 Cupeno

C91-C92 Not Used

Delaware

C93 Delaware

C94 Delaware Tribe of Indians, Oklahoma

C95 Lenni-Lanape

C96 Munsee

C97 Delaware Tribe of Western Oklahoma

C98 Ramapough Mountain

C99 Sand Hill Band of Delaware Indians

D01-D04 Not Used

Diegueno

D05 Barona Group of Capitan Grande Band

D06 Campo Band of Diegueno Mission Indians

Code Lists G–73

U.S. Census Bureau, Census 2000
RACE—Con.

AMERICAN INDIAN AND ALASKA NATIVE (300-399, A01-R99)—Con.

Diegueno–Con.

D07 Capitan Grande Band of Diegueno Mission Indians

D08 Cuyapaipe

D09 Diegueno

D10 La Posta Band of Diegueno Mission Indians

D11 Manzanita

D12 Mesa Grande Band of Diegueno Mission Indians

D13 San Pasqual Band of Diegueno Mission Indians

D14 Santa Ysabel Band of Diegueno Mission Indians

D15 Sycuan Band of Diegueno Mission Indians

D16 Viejas (Baron Long) Group of Capitan Grande Band

D17 Inaja Band of Diegueno Mission Indians of the Inaja and Cosmit Reservation

D18 Jamul Indian Village

D19 Not Used

Eastern Tribes

D20 Attacapa

D21 Biloxi

D22 Georgetown

D23 Moor

D24 Nansemond Indian Tribe

D25 Natchez

D26 Nausu Waiwash

D27 (See Nipmuc heading)

D28 Golden Hill Paugussett

D29 Pocomoke Acohonock

D30 Southeastern Indians

D31 Susquehanock

D32 Not Used

D33 Tunica Biloxi

D34 Waccamaw Siouan

D35 Not Used

D36 Wicomico

D37 Meherrin Indian Tribe

D38-D41 Not Used

Esselen

D42 Esselen

D43 Not Used

Fort Belknap

D44 Fort Belknap

D45 Not Used

Three Affiliated Tribes of North Dakota

D46 Three Affiliated Tribes of North Dakota (Fort Bethold)

D47-D48 Not Used

Fort McDowell

D49 Fort McDowell Mohave-Apache Community

D50 Not Used

G–74 Code Lists

U.S. Census Bureau, Census 2000
RACE—Con.

AMERICAN INDIAN AND ALASKA NATIVE (300-399, A01-R99)—Con.

Fort Hall

D51 Shoshone-Bannock Tribes of the Fort Hall Reservation

D52-D54 Not Used

Gabrieleno

D55 Gabrieleno

D56 Not Used

Grand Ronde

D57 Grand Ronde

Guilford

D58 Guilford Native American Association

D59 Not Used

Gros Ventres

D60 Atsina

D61 Gros Ventres

D62 Fort Belknap Gros Ventres

D63 Not Used

Haliwa-Saponi

D64 Haliwa-Saponi

D65-D66 Not Used

Hidatsa

D67 Hidatsa

D68-D69 Not Used

Hoopa

D70 Hoopa Valley Tribe

D71 Trinity

D72 Whilkut

D73-D75 Not Used

Hoopa Extension

D76 Hoopa Extension

D77 Not Used

Houma

D78 United Houma Nation

D79-D86 Not Used

Iowa

D87 Iowa

D88 Iowa of Kansas and Nebraska

D89 Iowa of Oklahoma

D90 Not Used

Code Lists G–75

U.S. Census Bureau, Census 2000
RACE—Con.

AMERICAN INDIAN AND ALASKA NATIVE (300-399, A01-R99)—Con.

Indians of Person County

D91 Indians of Person County

D92 Not Used

Iroquois

D93 Cayuga Nation

D94 Iroquois

D95 Mohawk

D96 Oneida Nation of New York

D97 Onondaga

D98 Seneca

D99 Seneca Nation

E01 Seneca-Cayuga

E02 Tonawanda Band of Seneca

E03 Tuscarora

E04 Wyandotte

E05-E09 Not Used

Juaneno (Acjachemem)

E10 Juaneno (Acjachemem)

E11-E12 Not Used

Kalispel

E13 Kalispel Indian Community

E14-E16 Not Used

Karuk

E17 Karuk Tribe of California

E18-E20 Not Used

Kaw

E21 Kaw

E22-E23 Not Used

Kickapoo

E24 Kickapoo

E25 Oklahoma Kickapoo

E26 Texas Kickapoo

E27-E29 Not Used

Kiowa

E30 Kiowa

E31 Oklahoma Kiowa

E32-E36 Not Used

S’Klallam

E37 Jamestown S’Klallam

E38 Klallam

G–76 Code Lists

U.S. Census Bureau, Census 2000
RACE—Con.

AMERICAN INDIAN AND ALASKA NATIVE (300-399, A01-R99)—Con.

S’Klallam—Con.

E39 Lower Elwha Tribal Community

E40 Port Gamble Klallam

E41-E43 Not Used

Klamath

E44 Klamath

E45-E47 Not Used

Konkow

E48 Konkow

E49 Not Used

Kootenai

E50 Kootenai

E51-E52 Not Used

Lassik

E53 Lassik

E54-E58 Not Used

Long Island

E59 Matinecock

E60 Montauk

E61 Poospatuck

E62 Setauket

E63-E65 Not Used

Luiseno

E66 La Jolla Band of Luiseno Mission Indians

E67 Luiseno

E68 Pala Band of Luiseno Mission Indians

E69 Pauma Band of Luiseno Mission Indians

E70 Pechanga Band of Luiseno Mission Indians

E71 Soboba

E72 Twenty-Nine Palms Band of Luiseno Mission Indians

E73 Temecula

E74 Rincon Band of Luiseno Mission Indians

E75-E77 Not Used

Lumbee

E78 Lumbee

E79-E83 Not Used

Lummi

E84 Lummi

E85-E86 Not Used

Code Lists G–77

U.S. Census Bureau, Census 2000
RACE—Con.

AMERICAN INDIAN AND ALASKA NATIVE (300-399, A01-R99)—Con.

Maidu

E87 Mooretown Rancheria of Maidu Indians

E88 Maidu

E89 Mountain Maidu

E90 Nisenen (Nishinam)

E91 Mechoopda Indian Tribe of Chico Rancheria, California

E92 Berry Creek Rancheria of Maidu Indians

E93 Enterprise Rancheria

E94 Greenville Rancheria

Makah

E95 Makah

E96-E99 Not Used

Maliseet

F01 Maliseet

F02 Houlton Band of Maliseet Indians

F03-F04 Not Used

Mandan

F05 Mandan

F06-F08 Not Used

Mattaponi

F09 Mattaponi Indian Tribe

F10 Upper Mattaponi Tribe

Menominee

F11 Menominee

F12-F14 Not Used

Metrolina

F15 Metrolina Native American Association

F16 Not Used

Miami

F17 Illinois Miami

F18 Indiana Miami

F19 Miami

F20 Oklahoma Miami

F21-F23 Not Used

Miccosukee

F24 Miccosukee

F25-F26 Not Used

G–78 Code Lists

U.S. Census Bureau, Census 2000
RACE—Con.

AMERICAN INDIAN AND ALASKA NATIVE (300-399, A01-R99)—Con.

Micmac

F27 Aroostook Band

F28 Micmac

F29-F30 Not Used

Mission Indians

F31 Mission Indians

F32 Cahuilla Band of Mission Indians

F33 Juaneno Band of Mission Indians

Miwok

F34 Ione Band of Miwok Indians

F35 Shingle Springs Band of Miwok Indians

Me-Wuk

F36 Me-Wuk

F37 Jackson Rancheria of Me-Wuk Indians of California

F38 Tuolumne Band of Me-Wuk Indians of California

F39 Buena Vista Rancheria of Me-Wuk Indians of California

F40 Chicken Ranch Rancheria of Me-Wuk Indians

F41 Sheep Ranch Rancheria of Me-Wuk Indians

Modoc

F42 Modoc

F43 Oklahoma Modoc

F44-F45 Not Used

Mohegan

F46 Mohegan

F47 Not Used

Monacan

F48 Monacan Indian Nation

Mono

F49 Mono

F50 North Fork Rancheria

F51 Cold Springs Rancheria

F52 Big Sandy Rancheria

Nanticoke

F53 Nanticoke

F54-F55 Not Used

Nanticoke Lenni-Lenape

F56 Nanticoke Lenni-Lenape

Narragansett

F57 Narragansett

F58-F61 Not Used

Code Lists G–79

U.S. Census Bureau, Census 2000
RACE—Con.

AMERICAN INDIAN AND ALASKA NATIVE (300-399, A01-R99)—Con.

Navajo

F62 Alamo Navajo

F63 Tohajiileehee Navajo (Canoncito)

F64 Navajo

F65 Ramah Navajo

F66-F70 Not Used

Nez Perce

F71 Nez Perce

F72-F74 Not Used

Nipmuc

F75 Hassanamisco Band of the Nipmuc Nation

F76 Chaubunagungameg Nipmuc

D27 Nipmuc

Nomlaki

F77 Nomlaki

F78 Paskenta Band of Nomlaki Indians

F79 Not Used

Northwest Tribes

F80 Alsea

F81 Celilo

F82 Columbia

F83 Kalapuya

F84 Molalla

F85 Talakamish

F86 Tenino

F87 Tillamook

F88 Wenatchee

F89-F94 Not Used

Omaha

F95 Omaha

F96-F98 Not Used

Oneida Tribe

F99 Oneida Tribe of Wisconsin

Oregon Athabascan

G01 Oregon Athabascan

G02-G03 Not Used

Osage

G04 Osage

G05-G09 Not Used

G–80 Code Lists

U.S. Census Bureau, Census 2000
RACE—Con.

AMERICAN INDIAN AND ALASKA NATIVE (300-399, A01-R99)—Con.

Otoe-Missouria

G10 Otoe-Missouria

G11-G13 Not Used

Ottawa

G14 Burt Lake Ottawa

G15 Little River Band of Ottawa Indians of Michigan

G16 Oklahoma Ottawa

G17 Ottawa

G18 Little Traverse Bay Bands of Ottawa Indians of Michigan

G19 Grand River Band of Ottawa Indians

G20-G22 Not Used

Paiute

G23 Not Used

G24 Bridgeport Paiute Indian Colony

G25 Burns Paiute Tribe

G26 Cedarville Rancheria

G27 Fort Bidwell

G28 Fort Independence

G29 Kaibab Band of Paiute Indians

G30 Las Vegas Tribe of the Las Vegas Indian Colony

G31 Not Used

G32 Lovelock Paiute Tribe of the Lovelock Indian Colony

G33 Malheur Paiute

G34 Moapa Band of Paiute

G35 Northern Paiute

G36 Not Used

G37 Paiute

G38 Pyramid Lake

G39 San Juan Southern Paiute

G40 Southern Paiute

G41 Summit Lake

G42 Utu Utu Gwaitu Paiute

G43 Walker River

G44 Yerington Paiute

G45 Yahooskin Band of Snake

G46 Not Used

G47 Susanville

G48 Winnemucca

G49 Not Used

Pamunkey

G50 Pamunkey Indian Tribe

G51-G52 Not Used

Passamaquoddy

G53 Indian Township

G54 Passamaquoddy

G55 Pleasant Point Passamaquoddy

G56-G60 Not Used

Code Lists G–81

U.S. Census Bureau, Census 2000
RACE—Con.

AMERICAN INDIAN AND ALASKA NATIVE (300-399, A01-R99)—Con.

Pawnee

G61 Oklahoma Pawnee

G62 Pawnee

G63-G67 Not Used

Penobscot

G68 Penobscot

G69-G71 Not Used

Peoria

G72 Oklahoma Peoria

G73 Peoria

G74-G76 Not Used

Pequot

G77 Mashantucket Pequot

G78 Pequot

G79 Paucatuck Eastern Pequot

G80-G83 Not Used

Pima

G84 Gila River Indian Community

G85 Pima

G86 Salt River Pima-Maricopa

G87-G91 Not Used

Piscataway

G92 Piscataway

G93-G95 Not Used

Pit River

G96 Pit River Tribe of California

G97 Alturas Indian Rancheria

G98 Redding Rancheria

Pomo and Pit River Indians

G99 Big Valley Rancheria of Pomo and Pit River Indians

Pomo

H01 Central Pomo

H02 Dry Creek

H03 Eastern Pomo

H04 Kashia Band of Pomo Indians of the Stewarts Point Rancheria

H05 Northern Pomo

H06 Pomo

H07 Scotts Valley Band

H08 Stonyford

H09 Elem Indian Colony of the Sulphur Bank

H10 Sherwood Valley Rancheria of Pomo Indians of California

H11 Guidiville Rancheria of California

G–82 Code Lists

U.S. Census Bureau, Census 2000
RACE—Con.

AMERICAN INDIAN AND ALASKA NATIVE (300-399, A01-R99)—Con.

Pomo–Con.

H12 Lytton Rancheria of California

H13 Cloverdale Rancheria

H14 Coyote Valley Band

H15-H65 (See below under Ponca through Pueblo)

H66 Hopland Band of Pomo Indians

H67 Manchester Band of Pomo Indians of the Manchester-Point Arena Rancheria

H68 Middletown Rancheria of Pomo Indians

H69 Pinoleville Rancheria of Pomo Indians

H70-H92 (See below under Puget Sound Salish)

H93 Potter Valley Rancheria of Pomo Indians

H94 Redwood Valley Rancheria of Pomo Indians

H95 Robinson Rancheria of Pomo Indians

H96 Upper Lake Band of Pomo Indians of Upper Lake Rancheria

Ponca

H15 Nebraska Ponca

H16 Oklahoma Ponca

H17 Ponca

H18-H20 Not Used

Potawatomi

H21 Citizen Potawatomi Nation

H22 Forest County Potawatomi Community

H23 Hannahville Indian Community of Wisconsin Potawatomi

H24 Huron Potawatomi

H25 Pokagon Band of Potawatomi Indians

H26 Potawatomi

H27 Prairie Band of Potawatomi Indians

H28 Wisconsin Potawatomi

H29-H33 Not Used

Powhatan

H34 Powhatan

H35-H37 Not Used

Pueblo

H38 Acoma

H39 Arizona Tewa

H40 Cochiti

H41 Hopi

H42 Isleta

H43 Jemez

H44 Keres

H45 Laguna

H46 Nambe

H47 Picuris

H48 Piro

H49 Pojoaque

H50 Pueblo

H51 San Felipe

H52 San Ildefonso

Code Lists G–83

U.S. Census Bureau, Census 2000
RACE—Con.

AMERICAN INDIAN AND ALASKA NATIVE (300-399, A01-R99)—Con.

Pueblo–Con.

H53 San Juan Pueblo

H54 Not Used

H55 San Juan

H56 Sandia

H57 Santa Ana

H58 Santa Clara

H59 Santo Domingo

H60 Taos

H61 Tesuque

H62 Tewa

H63 Ysleta Del Sur Pueblo of Texas

H64 Zia

H65 Zuni

H66-H69 (See Pomo heading)

Puget Sound Salish

H70 Marietta Band of Nooksack

H71 Duwamish

H72 Kikiallus

H73 Lower Skagit

H74 Muckleshoot

H75 Nisqually

H76 Nooksack

H77 Port Madison

H78 Puget Sound Salish

H79 Puyallup

H80 Samish

H81 Sauk-Suiattle

H82 Skokomish

H83 Skykomish

H84 Snohomish

H85 Snoqualmie

H86 Squaxin Island

H87 Steilacoom

H88 Stillaguamish

H89 Suquamish

H90 Swinomish

H91 Tulalip

H92 Upper Skagit

H93-H96 (See Pomo heading)

Quapaw

H97 Quapaw

H98-H99 Not Used

I01-I99 Not Used

Quinault

J01 Quinault

J02-J04 Not Used

G–84 Code Lists

U.S. Census Bureau, Census 2000
RACE—Con.

AMERICAN INDIAN AND ALASKA NATIVE (300-399, A01-R99)—Con.

Rappahannock

J05 Rappahannock Indian Tribe

J06 Not Used

Reno-Sparks

J07 Reno-Sparks

J08-J13 Not Used

Round Valley

J14 Round Valley

J15-J18 Not Used

Sac and Fox

J19 Sac and Fox Tribe of the Mississippi in Iowa

J20 Sac and Fox Nation of Missouri in Kansas and Nebraska

J21 Sac and Fox Nation, Oklahoma

J22 Sac and Fox

J23-J27 Not Used

Salinan

J28 Salinan

J29-J30 Not Used

Salish

J31 Salish

J32-J34 Not Used

Salish and Kootenai

J35 Salish and Kootenai

J36 Pondre Band of Salish and Kootenai

J37-J38 Not Used

Schaghticoke

J39 Schaghticoke

J40-J46 Not Used

Seminole

J47 Big Cypress

J48 Brighton

J49 Florida Seminole

J50 Hollywood Seminole

J51 Oklahoma Seminole

J52 Seminole

J53 Dania Seminole

J54 Tampa Seminole

J55-J57 Not Used

Code Lists G–85

U.S. Census Bureau, Census 2000
RACE—Con.

AMERICAN INDIAN AND ALASKA NATIVE (300-399, A01-R99)—Con.

Serrano

J58 San Manual Band

J59 Serrano

J60-J61 Not Used

Shasta

J62 Shasta

J63 Quartz Valley

J64-J65 Not Used

Shawnee

J66 Absentee Shawnee Tribe of Indians of Oklahoma

J67 Eastern Shawnee

J68 Shawnee

J69 Piqua Sept of Ohio Shawnee

J70-J73 Not Used

Shinnecock

J74 Shinnecock

J75-J77 Not Used

Shoalwater Bay

J78 Shoalwater Bay

J79-J80 Not Used

Shoshone

J81 Duckwater

J82 Ely

J83 Goshute

J84 Not Used

J85 Shoshone

J86 Skull Valley Band of Goshute Indians

J87 Not Used

J88 Death Valley Timbi-Sha Shoshone

J89 Northwestern Band of Shoshoni Nation of Utah (Washakie)

J90 Wind River (Eastern Shoshone)

J91 Yomba

J92 Not Used

Te-Moak Tribes of Western Shoshone Indians of Nevada

J93 Te-Moak Tribes of Western Shoshone Indians

J94 Battle Mountain

J95 Elko

J96 South Fork

J97 Wells Band

J98 Ruby Valley

J99 Odgers Ranch

G–86 Code Lists

U.S. Census Bureau, Census 2000
RACE—Con.

AMERICAN INDIAN AND ALASKA NATIVE (300-399, A01-R99)—Con.

Paiute-Shoshone

K01 Duck Valley

K02 Fallon

K03 Fort McDermitt Paiute and Shoshone Tribes

K04 Shoshone Paiute

K05 Bishop

K06 Lone Pine

K07 Big Pine Band of Owens Valley Paiute-Shoshone

K08-K09 Not Used

Siletz

K10 Confederated Tribes of the Siletz Reservation

K11-K15 Not Used

Sioux

K16 Blackfoot Sioux

K17 Brule Sioux

K18 Cheyenne River Sioux

K19 Crow Creek Sioux

K20 Dakota Sioux

K21 Flandreau Santee Sioux

K22 Fort Peck Sioux

K23 Lake Traverse Sioux

K24 Lower Brule Sioux

K25 Lower Sioux Indian Community of Minnesota Mdewakanton Sioux

K26 Mdewakanton Sioux

K27 Miniconjou

K28 Oglala Sioux

K29 Pine Ridge Sioux

K30 Pipestone Sioux

K31 Prairie Island Sioux

K32 Shakopee Mdewakanton Sioux Community (Prior Lake)

K33 Rosebud Sioux

K34 Sans Arc Sioux

K35 Santee Sioux of Nebraska

K36 Sioux

K37 Sisseton-Wahpeton

K38 Sisseton Sioux

K39 Spirit Lake Sioux (formerly Devils Lake Sioux)

K40 Standing Rock Sioux

K41 Teton Sioux

K42 Two Kettle Sioux

K43 Upper Sioux

K44 Wahpekute Sioux

K45 Wahpeton Sioux

K46 Wazhaza Sioux

K47 Yankton Sioux

K48 Yanktonai Sioux

K49-K53 Not Used

Code Lists G–87

U.S. Census Bureau, Census 2000
RACE—Con.

AMERICAN INDIAN AND ALASKA NATIVE (300-399, A01-R99)—Con.

Siuslaw

K54 Siuslaw

K55-K58 Not Used

Spokane

K59 Spokane

K60-K66 Not Used

Stockbridge-Munsee

K67 Stockbridge-Munsee Community of Mohican Indians of Wisconsin

K68-K76 Not Used

Tohono O’Odham

K77 Ak-Chin

K78 Gila Bend

K79 San Xavier

K80 Sells

K81 Tohono O’Odham

K82-K86 Not Used

Tolowa

K87 Tolowa

K88 Big Lagoon Rancheria

K89 Elk Valley Rancheria

A91 Smith River Rancheria

Tonkawa

K90 Tonkawa

K91-K92 Not Used

Trinidad

K93 Cher-Ae Indian Community of Trinidad Rancheria

Tygh

K94 Tygh

K95-K96 Not Used

Umatilla

K97 Umatilla

K98-K99 Not Used

Umpqua

L01 Cow Creek Umpqua

L02 Umpqua

L03-L05 Not Used

Ute

L06 Allen Canyon

L07 Uintah Ute

G–88 Code Lists

U.S. Census Bureau, Census 2000
RACE—Con.

AMERICAN INDIAN AND ALASKA NATIVE (300-399, A01-R99)—Con.

Ute–Con.

L08 Ute Mountain

L09 Ute

L10 Southern Ute

L11-L14 Not Used

Wailaki

L15 Wailaki

L16-L18 Not Used

Walla-Walla

L19 Walla-Walla

L20-L21 Not Used

Wampanoag

L22 Gay Head (Aquinnah) Wampanoag

L23 Mashpee Wampanoag

L24 Wampanoag

L25 Seaconeke Wampanoag

L26 Pocasset Wampanoag

L27 Not Used

Warm Springs

L28 Warm Springs

L29-L33 Not Used

Wascopum

L34 Wascopum

L35-L37 Not Used

Washoe

L38 Alpine

L39 Carson Colony

L40 Dresslerville Colony

L41 Washoe

L42 Stewart Community

L43 Woodsfords Community

L44-L46 Not Used

Wichita

L47 Wichita

L48 Keechi

L49 Waco

L50 Tawakonie

L51 Not Used

Wind River

L52 Wind River

L53-L54 Not Used

Code Lists G–89

U.S. Census Bureau, Census 2000
RACE—Con.

AMERICAN INDIAN AND ALASKA NATIVE (300-399, A01-R99)—Con.

Winnebago

L55 Ho-Chunk Nation of Wisconsin

L56 Nebraska Winnebago

L57 Winnebago

L58-L65 Not Used

Wintun

L66 Wintun

L67 Cachil Dehe Band of Wintun Indians of the Colusa Rancheria

L68 Cortina Indian Rancheria of Wintun Indians

L69 Rumsey Indian Rancheria of Wintun Indians

L70 Not Used

Wintun-Wailaki

L71 Grindstone Indian Rancheria of Wintun-Wailaki Indians

Wiyot

L72 Table Bluff

L73 Wiyot

L74 Blue Lake Rancheria

L75-L78 Not Used

Yakama

L79 Yakama

L80-L84 Not Used

Yakama Cowlitz

L85 Yakama Cowlitz

L86-L90 Not Used

Yaqui

L91 Barrio Libre

L92 Pascua Yaqui

L93 Yaqui

L94-L99 Not Used

Yavapai Apache

M01 Yavapai Apache

M02-M06 Not Used

Yokuts

M07 Picayune Rancheria of Chukchansi Indians

M08 Tachi

M09 Tule River

M10 Yokuts

M11 Table Mountain Rancheria

M12-M15 Not Used

G–90 Code Lists

U.S. Census Bureau, Census 2000
RACE—Con.

AMERICAN INDIAN AND ALASKA NATIVE (300-399, A01-R99)—Con.

Yuchi

M16 Yuchi

M17 Tia

M18 Wilono

M19 An-stohini/Unami

M20-M21 Not Used

Yuman

M22 Cocopah Tribe of Arizona

M23 Havasupai

M24 Hualapai

M25 Maricopa

M26 Fort Mojave Indian Tribe of Arizona

M27 Quechan

M28 Yavapai-Prescott Tribe of the Yavapai Reservation

M29-M33 Not Used

Yurok

M34 Resighini Rancheria

M35 Yurok

M36-M38 Not Used

M39 Multiple AMERICAN INDIAN and ALASKA NATIVE responses

M40 Multiple AMERICAN INDIAN responses

Tribe Not Specified

M41 American Indian

M42 Tribal Response, not elsewhere classified

M43 Not Used

ALASKA NATIVE

ALASKA INDIAN TRIBES

Alaska Indian

M44 Alaska Indian

M45-M46 Not Used

Alaska Native

M47 Alaska Native

M48-M51 Not Used

Alaskan Athabascans

M52 Ahtna

M53 Alaskan Athabascan

M54 Alatna Village

M55 Alexander

M56 Allakaket Village

M57 Alanvik

M58 Anvik Village

M59 Arctic Village

M60 Beaver Village

M61 Birch Creek Tribe

M62 Native Village of Cantwell

Code Lists G–91

U.S. Census Bureau, Census 2000
RACE—Con.

ALASKA INDIAN TRIBES–Con.

Alaskan Athabascans–Con.

M63 Chalkyitsik Village

M64 Chickaloon Native Village

M65 Native Village of Chistochina

M66 Native Village of Chitina

M67 Circle Native Community

M68 Cook Inlet

M69 Not Used

M70 Copper River

M71 Village of Dot Lake

M72 Doyon

M73 Native Village of Eagle

M74 Eklutna Native Village

M75 Evansville Village (Bettles Field)

M76 Native Village of Fort Yukon

M77 Native Village of Gakona

M78 Galena Village (Louden Native Village)

M79 Organized Village of Grayling (Holikachuk)

M80 Gulkana Village

M81 Healy Lake Village

M82 Holy Cross Village

M83 Hughes Village

M84 Huslia Village

M85 Village of Iliamna

M86 Village of Kaltag

M87 Native Village of Kluti Kaah (Copper Center)

M88 Knik Tribe

M89 Koyukuk Native Village

M90 Lake Minchumina

M91 Lime Village

M92 McGrath Native Village

M93 Manley Hot Springs Village

M94 Mentasta Traditional Council

M95 Native Village of Minto

M96 Nenana Native Association

M97 Nikolai Village

M98 Ninilchik Village Traditional Council

M99 Nondalton Village

N01 Northway Village

N02 Nulato Village

N03 Pedro Bay Village

N04 Rampart Village

N05 Native Village of Ruby

N06 Village of Salamatoff

N07 Seldovia Village Tribe

N08 Slana

N09 Shageluk Native Village

N10 Native Village of Stevens

N11 Village of Stony River

N12 Takotna Village

N13 Native Village of Tanacross

N14 Tanaina

N15 Native Village of Tanana

G–92 Code Lists

U.S. Census Bureau, Census 2000
RACE—Con.

ALASKA INDIAN TRIBES–Con.

Alaskan Athabascans–Con.

N16 Tanana Chiefs

N17 Native Village of Tazlina

N18 Telida Village

N19 Native Village of Tetlin

N20 Tok

N21 Native Village of Tyonek

N22 Village of Venetie

N23 Wiseman

N24 Kenaitze Indian Tribe

N25-N27 Not Used

Tlingit-Haida

N28 Angoon Community Association

N29 Central Council of the Tlingit and Haida Indian Tribes

N30 Chilkat Indian Village (Kluckwan)

N31 Chilkoot Indian Association (Haines)

N32 Craig Community Association

N33 Douglas Indian Association

N34 Haida

N35 Hoonah Indian Association

N36 Hydaburg Cooperative Association

N37 Organized Village of Kake

N38 Organized Village of Kasaan

N39 Not Used

N40 Ketchikan Indian Corporation

N41 Klawock Cooperative Association

N42 Not Used

N43 Pelican

N44 Petersburg Indian Association

N45 Organized Village of Saxman

N46 Sitka Tribe of Alaska

N47 Tenakee Springs

N48 Tlingit

N49 Wrangell Cooperative Association

N50 Yakutat Tlingit Tribe

N51 Juneau

N52-N55 Not Used

Tsimshian

N56 Metlakatla Indian Community, Annette Island Reserve

N57 Tsimshian

N58 Not Used

Sealaska

N59 Sealaska

N60 Sealaska Corporation

N61-N63 Not Used

Southeast Alaska

N64 Southeast Alaska

N65 Skagway Village

N66 Not Used

Code Lists G–93

U.S. Census Bureau, Census 2000
RACE—Con.

ESKIMO TRIBES

N67 American Eskimo

N68 Eskimo

Greenland Eskimo

N69 Greenland Eskimo

N70-N74 Not Used

Inuit

N75 Inuit

N76-N78 Not Used

Inupiat Eskimo

N79 Native Village of Ambler

N80 Anaktuvuk

N81 Village of Anaktuvuk Pass

N82 Inupiat Community of the Arctic Slope

N83 Arctic Slope Corporation

N84 Atqasuk Village (Atkasook)

N85 Native Village of Barrow Inupiat Traditional Government

N86 Bering Straits Inupiat

N87 Native Village of Brevig Mission

N88 Native Village of Buckland

N89 Chinik Eskimo Community (Golovin)

N90 Native Village of Council

N91 Native Village of Deering

N92 Native Village of Elim

N93 Not Used

N94 Native Village of Diomede (Inalik)

N95 Inupiaq

N96 Inupiat

N97 Kaktovik Village (Barter Island)

N98 Kawerak

N99 Native Village of Kiana

O01-O99 Not Used

P01 Native Village of Kivalina

P02 Native Village of Kobuk

P03 Native Village of Kotzebue

P04 Native Village of Koyuk

P05 Kwiguk

P06 Mauneluk Inupiat

P07 Nana Inupiat

P08 Native Village of Noatak

P09 Nome Eskimo Community

P10 Noorvik Native Community

P11 Native Village of Nuiqsut (Nooiksut)

P12 Native Village of Point Hope

P13 Native Village of Point Lay

P14 Native Village of Selawik

P15 Native Village of Shaktoolik

G–94 Code Lists

U.S. Census Bureau, Census 2000
RACE—Con.

ESKIMO TRIBES–Con.

Inupiat Eskimo–Con.

P16 Native Village of Shishmaref

P17 Native Village of Shungnak

P18 Village of Solomon

P19 Native Village of Teller

P20 Native Village of Unalakleet

P21 Village of Wainwright

P22 Village of Wales

P23 Village of White Mountain

P24 White Mountain Inupiat

P25 Native Village of Mary’s Igloo

P26 King Island Native Community

P27-P29 Not Used

Siberian Eskimo

P30 Native Village of Gambell

P31 Native Village of Savoonga

P32 Siberian Yupik

P33-P35 Not Used

Cupiks Eskimo

P36 Chevak Native Village

P37 Native Village of Mekoryuk

Yup’ik

P38 Akiachak Native Community

P39 Akiak Native Community

P40 Village of Alakanuk

P41 Native Village of Aleknagik

P42 Yupiit of Andreafski

P43 Village of Aniak

P44 Village of Atmautluak

P45 Orutsararmuit Native Village (Bethel)

P46 Village of Bill Moore’s Slough

P47 Bristol Bay

P48 Calista

P49 Village of Chefornak

P50 Native Village of Hamilton

P51 Native Village of Chuathbaluk

P52 Village of Clark’s Point

P53 Village of Crooked Creek

P54 Curyung Tribal Council (Native Village of Dillingham)

P55 Native Village of Eek

P56 Native Village of Ekuk

P57 Ekwok Village

P58 Emmonak Village

P59 Native Village of Goodnews Bay

P60 Native Village of Hooper Bay

P61 Iqurmuit Traditional Council

P62 Village of Kalskag

P63 Native Village of Kasigluk

P64 Native Village of Kipnuk

Code Lists G–95

U.S. Census Bureau, Census 2000
RACE—Con.

ESKIMO TRIBES–Con.

Yup’ik–Con.

P65 New Koliganek Village Council

P66 Native Village of Kongiganak

P67 Village of Kotlik

P68 Organized Village of Kwethluk

P69 Native Village of Kwigillingok

P70 Levelock Village

P71 Village of Lower Kalskag

P72 Manokotak Village

P73 Native Village of Marshall (Fortuna Lodge)

P74 Village of Ohogamiut

P75 Asa’carsarmiut Tribe

P76 Naknek Native Village

P77 Native Village of Napaimute

P78 Native Village of Napakiak

P79 Native Village of Napaskiak

P80 Newhalen Village

P81 New Stuyahok Village

P82 Newtok Village

P83 Native Village of Nightmute

P84 Native Village of Nunapitchuk

P85 Oscarville Traditional Village

P86 Pilot Station Traditional Village

P87 Native Village of Pitkas Point

P88 Platinum Traditional Village

P89 Portage Creek Village (Ohgsenakale)

P90 Native Village of Kwinhagak

P91 Village of Red Devil

P92 Native Village of Saint Michael

P93 Native Village of Scammon Bay

P94 Native Village of Sheldon’s Point

P95 Village of Sleetmute

P96 Stebbins Community Association

P97 Traditional Village of Togiak

P98 Nunakauyarmiut Tribe (Toksook Bay)

P99 Tuluksak Native Community

Q01-Q99 Not Used

R01 Native Village of Tuntutuliak

R02 Native Village of Tununak

R03 Twin Hills Village

R04 Yup’ik

R05 Yup’ik Eskimo

R06 Native Village of Georgetown

R07 Algaaciq Native Village (St. Mary’s)

R08 Umkumiute Native Village

R09 Chuloonawick Native Village

R10 Not Used

G–96 Code Lists

U.S. Census Bureau, Census 2000
RACE—Con.

ALEUT TRIBES

Aleut

R11 Aleut

R12-R15 Not Used

Alutiiq Aleut

R16 Alutiiq

R17 Village of Afognak

R18-R22 Not Used

R23 Native Village of Tatitlek

R24 Ugashik Village

R25-R27 Not Used

Bristol Bay Aleut

R28 Bristol Bay Aleut

R29 Native Village of Chignik

R30 Chignik Lake Village

R31 Egegik Village

R32 Igiugig Village

R33 Ivanoff Bay Village

R34 King Salmon

R35 Kokhanok Village

R36 Native Village of Perryville

R37 Native Village of Pilot Point

R38 Native Village of Port Heiden

R39-R42 Not Used

Chugach Aleut

R43 Native Village of Chanega (Chenega)

R44 Chugach Aleut

R45 Chugach Corporation

R46 Native Village of Nanwalek (English Bay)

R47 Native Village of Port Graham

R48-R50 Not Used

Eyak

R51 Eyak

R52-R54 Not Used

Koniag Aleut

R55 Native Village of Akhiok

R56 Agdaagux Tribe of King Cove

R57 Native Village of Karluk

R58 Native Village of Kanatak

R59 Kodiak

R60 Koniag Aleut

R61 Native Village of Larsen Bay

R62 Village of Old Harbor

R63 Native Village of Ouzinkie

R64 Native Village of Port Lions

R65 Lesnoi Village (Woody Island)

R66 Not Used

Code Lists G–97

U.S. Census Bureau, Census 2000
RACE—Con.

ALEUT TRIBES—Con.

Sugpiaq

R67 Sugpiaq

R68-R70 Not Used

Suqpigaq

R71 Suqpigaq

R72-R74 Not Used

Unangan Aleut

R75 Native Village of Akutan

R76 Aleut Corporation

R77 Aleutian

R78 Aleutian Islander

R79 Native Village of Atka

R80 Native Village of Belkofski

R81 Native Village of Chignik Lagoon

R82 King Cove

R83 Native Village of False Pass

R84 Native Village of Nelson Lagoon

R85 Native Village of Nikolski

R86 Pauloff Harbor Village

R87 Qagan Tayagungin Tribe of Sand Point Village

R88 Qawalangin Tribe of Unalaska

R89 Saint George

R90 Saint Paul

R91 Sand Point

R92 South Naknek Village

R93 Unangan

R94 Unalaska

R95 Native Village of Unga

R96 Kaguyak Village

R97-R98 Not Used

R99 Multiple ALASKA NATIVE responses

ASIAN (400-499)

400 Asian Indian (Checkbox)

401 Asian Indian

402 Bangladeshi

403 Bhutanese

404 Burmese

405 Cambodian

406-409 Not Used

410 Chinese (Checkbox)

411 Chinese

412 Taiwanese

413-419 Not Used

420 Filipino (Checkbox)

421 Filipino

422 Hmong

423 Indonesian

G–98 Code Lists

U.S. Census Bureau, Census 2000
RACE—Con.

ASIAN (400-499)–Con.

424-429 Not Used

430 Japanese (Checkbox)

431 Japanese

432-439 Not Used

440 Korean (Checkbox)

441 Korean

442 Laotian

443 Malaysian

444 Okinawan

445 Pakistani

446 Sri Lankan

447 Thai

448-449 Not Used

450 Vietnamese (Checkbox)

451 Vietnamese

452-459 Not Used

460 Other Asian (Checkbox)

461 Not Used

462 Asian

463 Asiatic

464 Not Used

465 Mongolian

466 Oriental

467 Whello

468 Yello

469 Indo-Chinese

470 Iwo Jiman

471 Maldivian

472 Nepalese

473 Singaporean

474-479 Not Used

480 Multiple ASIAN responses

481-499 Not Used

NATIVE HAWAIIAN AND OTHER PACIFIC ISLANDER (500-599)

Polynesian (500-519)

500 Native Hawaiian (Checkbox)

501 Native Hawaiian

502 Hawaiian

503 Part Hawaiian

504-509 Not Used

510 Samoan (Checkbox)

511 Samoan

512 Tahitian

513 Tongan

514 Polynesian

515 Tokelauan

516-519 Not Used

Code Lists G–99

U.S. Census Bureau, Census 2000
RACE—Con.

NATIVE HAWAIIAN AND OTHER PACIFIC ISLANDER (500-599)–Con.

Micronesian (520-529, 531-541)

520 Guamanian or Chamorro (Checkbox)

521 Guamanian

522 Chamorro

523-529 Not Used

530 See below under Other Pacific Islander

531 Mariana Islander

532 Marshallese

533 Palauan

534 Carolinian

535 Kosraean

536 Micronesian

537 Pohnpeian

538 Saipanese

539 Kirabati

540 Chuukese

541 Yapese

Melanesian (542-546)

542 Fijian

543 Melanesian

544 Papua New Guinean

545 Solomon Islander

546 New Hebrides

Other Pacific Islander (530, 547-599)

530 Other Pacific Islander (Checkbox)

547 Pacific Islander

548-549 Not Used

550 Multiple NATIVE HAWAIIAN and OTHER PACIFIC ISLANDER responses

551-599 Not Used

SOME OTHER RACE (600-999)

600 Some Other Race (Checkbox)

601 Argentinean

602 Bolivian

603 Not Used

604 Central American

605 Chicano

606 Chilean

607 Colombian

608 Costa Rican

609 Cuban

610 Ecuadorian

611 Salvadoran

612 Guatemalan

613 Hispanic

614 Honduran

G–100 Code Lists

U.S. Census Bureau, Census 2000
RACE—Con.

SOME OTHER RACE (600-999)–Con.

615 Latin American

616 Mestizo

617 Mexican

618 Nicaraguan

619 Panamanian

620 Paraguayan

621 Peruvian

622 Puerto Rican

623 Morena

624 South American

625 Spanish

626 Spanish-American

627 Sudamericano

628 Uruguayan

629 Venezuelan

630 Spaniard

631 Tejano

632 Cayman Islander

633 Moroccan

634 North African

635 United Arab Emirates

636 South African/Afrikaner

637 Azerbaijani

638 Aryan

639 Not Used

640 Dominican/Dominican Republic

641 Dominica Islander

642 Belizean

643 Bermudan

644 Aruba Islander

645 Cayenne

646 Guyanese

647 Surinam

648 Sudanese

649 Amerasian

650 Eurasian

651 Brazilian

652 Brown

653 Bushwacker

654 Not Used

655 Cape Verdean

656 Chocolate

657 Coe Clan

658 Coffee

659 Cosmopolitan

660 Issues

661 Jackson White

662 Melungeon

663 Mixed

664 Ramp

665 Wesort

666 Mulatto

667 Moor

Code Lists G–101

U.S. Census Bureau, Census 2000
RACE—Con.

SOME OTHER RACE (600-999)–Con.

668 Biracial

669 Creole

670 Indian

671 Turk

672 Half-Breed

673 Rainbow

674 Octoroon

675 Quadroon

676 Multiracial

677 Interracial

678 Multiethnic

679 Multinational

680-689 Not Used

690 Multiple SOME OTHER RACE responses

691-698 Not Used

699 Other race, not elsewhere classified

700-999 Not Used

G–102 Code Lists

U.S. Census Bureau, Census 2000
CENSUS 2000 STATE AND FOREIGN COUNTRY CODE LIST

(Note: This code list is used for place of birth, migration, and place of work.)

Codes State and Foreign Country

001-059 United States

001 Alabama

002 Alaska

003 Not Used

004 Arizona

005 Arkansas

006 California

007 Not Used

008 Colorado

009 Connecticut

010 Delaware

011 District of Columbia

012 Florida

013 Georgia

014 Not Used

015 Hawaii

016 Idaho

017 Illinois

018 Indiana

019 Iowa

020 Kansas

021 Kentucky

022 Louisiana

023 Maine

024 Maryland

025 Massachusetts

026 Michigan

027 Minnesota

028 Mississippi

029 Missouri

030 Montana

031 Nebraska

032 Nevada

033 New Hampshire

034 New Jersey

035 New Mexico

036 New York

037 North Carolina

038 North Dakota

039 Ohio

040 Oklahoma

041 Oregon

042 Pennsylvania

043 Not Used

044 Rhode Island

045 South Carolina

Code Lists G–103

U.S. Census Bureau, Census 2000
Codes State and Foreign Country

001-059 United States—Con.

046 South Dakota

047 Tennessee

048 Texas

049 Utah

050 Vermont

051 Virginia

052 Not Used

053 Washington

054 West Virginia

055 Wisconsin

056 Wyoming

057-059 Not Used

060-099 U.S. Island Areas

060 American Samoa

061-065 Not Used

066 Guam

067 Johnston Atoll

068 Not Used

069 Northern Marianas

070 Not Used

071 Midway Islands

072 Puerto Rico

073-075 Not Used

076 Navassa Island

077 Not Used

078 U.S. Virgin Islands

079 Wake Island

080 Not Used

081 Baker Island

082-083 Not Used

084 Howland Island

085 Not Used

086 Jarvis Island

087-088 Not Used

089 Kingman Reef

090-094 Not Used

095 Palmyra Atoll

096 U.S. Island Area not specified (Place of Work only)

097-099 Not Used

100-157, 160,

162-199

Europe

100 Albania

101 Andorra

102 Austria

103 Belgium

104 Bulgaria

105 Czechoslovakia

106 Denmark

G–104 Code Lists

U.S. Census Bureau, Census 2000
Codes State and Foreign Country

100-157, 160,

162-199

Europe—Con.

107 Faroe Islands

108 Finland

109 France

110 Germany

111-114 Not Used

115 Gibraltar

116 Greece

117 Hungary

118 Iceland

119 Ireland

120 Italy

121 Jan Meyan

122 Liechtenstein

123 Luxembourg

124 Malta

125 Monaco

126 Netherlands

127 Norway

128 Poland

129 Portugal

130 Azores Islands

131 Madeira Islands

132 Romania

133 San Marino

134 Spain

135 Svalbard

136 Sweden

137 Switzerland

138 United Kingdom

139 England

140 Scotland

141 Wales

142 Northern Ireland

143 Guernsey

144 Jersey

145 Isle of Man

146 Vatican City

147 Yugoslavia

148 Czech Republic

149 Slovakia

150 Bosnia and Herzegovina

151 Croatia

152 Macedonia

153 Slovenia

154 Serbia

155 Estonia

156 Latvia

157 Lithuania

160 Belarus

Code Lists G–105

U.S. Census Bureau, Census 2000
Codes State and Foreign Country

100-157, 160,

162-199

Europe—Con.

162 Moldova

163 Russia

164 Ukraine

165 USSR

166 Europe

167 Kosovo

168-199 Not Used

158-159, 161,

200-299

Asia

158 Armenia

159 Azerbaijan

161 Georgia

200 Afghanistan

201 Bahrain

202 Bangladesh

203 Bhutan

204 Brunei

205 Myanmar (Burma)

206 Cambodia

207 China

208 Cyprus

209 Hong Kong

210 India

211 Indonesia

212 Iran

213 Iraq

214 Israel

215 Japan

216 Jordan

217 Korea

218 Kazakhstan

219 Kyrgyzstan

220 South Korea

221 North Korea

222 Kuwait

223 Laos

224 Lebanon

225 Macau

226 Malaysia

227 Maldives

228 Mongolia

229 Nepal

230 Oman

231 Pakistan

232 Paracel Islands

233 Philippines

234 Qatar

235 Saudi Arabia

G–106 Code Lists

U.S. Census Bureau, Census 2000
Codes State and Foreign Country

158-159, 161,

200-299

Asia—Con.

236 Singapore

237 Spratley Islands

238 Sri Lanka

239 Syria

240 Taiwan

241 Tajikistan

242 Thailand

243 Turkey

244 Turkmenistan

245 United Arab Emirates

246 Uzbekistan

247 Vietnam

248 Yemen

249 Asia

250-299 Not Used

300-399 America

300-302, 304-

309

Northern America

300 Bermuda

301 Canada

302 Greenland

304 St Pierre & Miquelon

305 North America

306-309 Not Used

303, 310-399 Latin America

303, 310-319 Central America

303 Mexico

310 Belize

311 Costa Rica

312 El Salvador

313 Guatemala

314 Honduras

315 Nicaragua

316 Panama

317 Central America

318-319 Not Used

320-359 Caribbean

320 Anguilla

321 Antigua & Barbuda

322 Aruba

323 Bahamas

324 Barbados

325 British Virgin Islands

326 Cayman Islands

327 Cuba

Code Lists G–107

U.S. Census Bureau, Census 2000
Codes State and Foreign Country

320-359 Caribbean—Con.

328 Dominica

329 Dominican Republic

330 Grenada

331 Guadeloupe

332 Haiti

333 Jamaica

334 Martinique

335 Montserrat

336 Netherlands Antilles

337 St Barthelemy

338 St Kitts-Nevis

339 St Lucia

340 St Vincent & the Grenadines

341 Trinidad & Tobago

342 Turks & Caicos Islands

343 West Indies

344-359 Not Used

360-399 South America

360 Argentina

361 Bolivia

362 Brazil

363 Chile

364 Colombia

365 Ecuador

366 Falkland Islands

367 French Guiana

368 Guyana

369 Paraguay

370 Peru

371 Suriname

372 Uruguay

373 Venezuela

374 South America

375-399 Not Used

400-499 Africa

400 Algeria

401 Angola

402 Benin

403 Botswana

404 British Indian Ocean Territory

405 Burkina Faso

406 Burundi

407 Cameroon

408 Cape Verde

409 Central African Republic

410 Chad

411 Comoros

412 Congo

G–108 Code Lists

U.S. Census Bureau, Census 2000
Codes State and Foreign Country

400-499 Africa—Con.

413 Djibouti

414 Egypt

415 Equatorial Guinea

416 Ethiopia

417 Eritrea

418 Europa Island

419 Gabon

420 Gambia

421 Ghana

422 Glorioso Islands

423 Guinea

424 Guinea-Bissau

425 Ivory Coast

426 Juan de Nova Island

427 Kenya

428 Lesotho

429 Liberia

430 Libya

431 Madagascar

432 Malawi

433 Mali

434 Mauritania

435 Mayotte

436 Morocco

437 Mozambique

438 Namibia

439 Niger

440 Nigeria

441 Reunion

442 Rwanda

443 Sao Tome & Principe

444 Senegal

445 Mauritius

446 Seychelles

447 Sierra Leone

448 Somalia

449 South Africa

450 St Helena

451 Sudan

452 Swaziland

453 Tanzania

454 Togo

455 Tromelin Island

456 Tunisia

457 Uganda

458 Western Sahara

459 Democratic Republic of Congo (Zaire)

460 Zambia

461 Zimbabwe

462 Africa

463-499 Not Used

Code Lists G–109

U.S. Census Bureau, Census 2000
Codes State and Foreign Country

500-553 Oceania

500 Not Used

501 Australia

502 Christmas Island, Indian Ocean

503-504 Not Used

505 Cook Islands

506 Coral Sea Islands

507 Heard & McDonald Islands

508 Fiji

509 French Polynesia

510 Kiribati

511 Marshall Islands

512 Micronesia

513 Nauru

514 New Caledonia

515 New Zealand

516 Niue

517 Norfolk Island

518 Palau

519 Papua New Guinea

520 Pitcairn Islands

521 Solomon Islands

522 Tokelau

523 Tonga

524 Tuvalu

525 Vanuatu

526 Wallis & Futuna Islands

527 Samoa

528 Oceania

529-553 Not Used

554-999 At Sea/Abroad, Not Specified

554 At sea

555 Abroad, not specified (Place of Work only)

556-999 Not Used

G–110 Code Lists

U.S. Census Bureau, Census 2000
Appendix H.

Characteristic Iterations

This appendix lists the 336 possible iterations for Summary File 4. The iterations comprise the

total population, 132 race groups, 78 American Indian and Alaska Native tribe categories

(reflecting 39 individual tribes), 39 Hispanic or Latino groups, and 86 ancestry groups. In order for

any of the tables (matrices) for a specific group to be shown in Summary File 4, the data must

meet a minimum population threshold. For Summary File 4, all tables (matrices) are repeated for

each race group, American Indian and Alaska Native tribe, and Hispanic or Latino group if the

100-percent count of people of that specific group in a particular geographic area is 100 or more.

There also must be 50 or more unweighted people of that specific group in a particular

geographic area. For example, if there are 100 or more 100-percent people tabulated as

‘‘Vietnamese alone’’ in County A, and there are 50 or more unweighted people, then all matrices

for ‘‘Vietnamese alone’’ are shown in SF 4 for County A. For the 86 ancestry groups, only the 50 or

more unweighted cases test is applied.

Please note that each group listed below has a corresponding characteristic iteration code, shown

in the first column. In the summary file, these codes are located in the characteristic iteration

(CHARITER) field of the geographic header record. (See Chapter 2, ‘‘How to Use This File,’’ for more

information.)

001 Total population

[Race groups]

002 White alone

003 White alone or in combination with one or more other races

004 Black or African American alone

005 Black or African American alone or in combination with one or more other races

006 American Indian and Alaska Native alone

007 American Indian alone

008 Alaska Native alone

009 American Indian and Alaska Native alone or in combination with one or more other races

010 American Indian alone or in any combination

011 Alaska Native alone or in any combination

012 Asian alone

013 Asian Indian alone

014 Bangladeshi alone

015 Cambodian alone

016 Chinese alone

017 Chinese, except Taiwanese, alone

018 Taiwanese alone

019 Filipino alone

020 Hmong alone

021 Indonesian alone

022 Japanese alone

023 Korean alone

024 Laotian alone

025 Malaysian alone

026 Pakistani alone

Characteristic Iterations H–1

U.S. Census Bureau, Census 2000
[Race group–Con.]

Asian alone–Con.

027 Sri Lankan alone

028 Thai alone

029 Vietnamese alone

030 Other specified Asian alone

031 Asian alone or in combination with one or more other races

032 Asian Indian alone or in any combination

033 Bangladeshi alone or in any combination

034 Cambodian alone or in any combination

035 Chinese alone or in any combination

036 Chinese, except Taiwanese, alone or in any combination

037 Taiwanese alone or in any combination

038 Filipino alone or in any combination

039 Hmong alone or in any combination

040 Indonesian alone or in any combination

041 Japanese alone or in any combination

042 Korean alone or in any combination

043 Laotian alone or in any combination

044 Malaysian alone or in any combination

045 Pakistani alone or in any combination

046 Sri Lankan alone or in any combination

047 Thai alone or in any combination

048 Vietnamese alone or in any combination

049 Other specified Asian alone or in any combination

050 Native Hawaiian and Other Pacific Islander alone

051 Polynesian alone

052 Native Hawaiian alone

053 Samoan alone

054 Tongan alone

055 Micronesian alone

056 Guamanian or Chamorro alone

057 Melanesian alone

058 Fijian alone

059 Other specified Pacific Islander alone

060 Native Hawaiian and Other Pacific Islander alone or in combination with one or more

other races

061 Polynesian alone or in any combination

062 Native Hawaiian alone or in any combination

063 Samoan alone or in any combination

064 Tongan alone or in any combination

065 Micronesian alone or in any combination

066 Guamanian or Chamorro alone or in any combination

067 Melanesian alone or in any combination

068 Fijian alone or in any combination

069 Other specified Pacific Islander alone or in any combination

070 Some other race alone

071 Some other race alone or in combination with one or more other races

H–2 Characteristic Iterations

U.S. Census Bureau, Census 2000
[Race group–Con.]

100 Two or more races

101 Two races including Some other race

102 Two races excluding Some other race, and three or more races

103 Two races excluding Some other race

104 Three or more races

105 White; Black or African American

106 White; American Indian and Alaska Native

107 White; Asian

108 White; Native Hawaiian and Other Pacific Islander

109 White; Some other race

110 Black or African American; American Indian and Alaska Native

111 Black or African American; Asian

112 Black or African American; Native Hawaiian and Other Pacific Islander

113 Black or African American; Some other race

114 American Indian and Alaska Native; Asian

115 American Indian and Alaska Native; Native Hawaiian and Other Pacific Islander

116 American Indian and Alaska Native; Some other race

117 Asian; Native Hawaiian and Other Pacific Islander

118 Asian; Some other race

119 Native Hawaiian and Other Pacific Islander; Some other race

120 White; Black or African American; American Indian and Alaska Native

121 White; Black or African American; Asian

122 White; Black or African American; Native Hawaiian and Other Pacific Islander

123 White; Black or African American; Some other race

124 White; American Indian and Alaska Native; Asian

125 White; American Indian and Alaska Native; Native Hawaiian and Other Pacific Islander

126 White; American Indian and Alaska Native; Some other race

127 White; Asian; Native Hawaiian and Other Pacific Islander

128 White; Asian; Some other race

129 White; Native Hawaiian and Other Pacific Islander; Some other race

130 Black or African American; American Indian and Alaska Native; Asian

131 Black or African American; American Indian and Alaska Native; Native Hawaiian and

Other Pacific Islander

132 Black or African American; American Indian and Alaska Native; Some other race

133 Black or African American; Asian; Native Hawaiian and Other Pacific Islander

134 Black or African American; Asian; Some other race

135 Black or African American; Native Hawaiian and Other Pacific Islander; Some other race

136 American Indian and Alaska Native; Asian; Native Hawaiian and Other Pacific Islander

137 American Indian and Alaska Native; Asian; Some other race

138 American Indian and Alaska Native; Native Hawaiian and Other Pacific Islander; Some

other race

139 Asian; Native Hawaiian and Other Pacific Islander; Some other race

140 White; Black or African American; American Indian and Alaska Native; Asian

141 White; Black or African American; American Indian and Alaska Native; Native Hawaiian

and Other Pacific Islander

142 White; Black or African American; American Indian and Alaska Native; Some other race

143 White; Black or African American; Asian; Native Hawaiian and Other Pacific Islander

144 White; Black or African American; Asian; Some other race

145 White; Black or African American; Native Hawaiian and Other Pacific Islander; Some

other race

Characteristic Iterations H–3

U.S. Census Bureau, Census 2000
[Race group–Con.]

Two or more races–Con.

146 White; American Indian and Alaska Native; Asian; Native Hawaiian and Other Pacific

Islander

147 White; American Indian and Alaska Native; Asian; Some other race

148 White; American Indian and Alaska Native; Native Hawaiian and Other Pacific Islander;

Some other race

149 White; Asian; Native Hawaiian and Other Pacific Islander; Some other race

150 Black or African American; American Indian or Alaska Native; Asian; Native Hawaiian

and Other Pacific Islander

151 Black or African American; American Indian and Alaska Native; Asian; Some other race

152 Black or African American; American Indian and Alaska Native; Native Hawaiian and

Other Pacific Islander; Some other race

153 Black or African American; Asian; Native Hawaiian and Other Pacific Islander; Some

other race

154 American Indian and Alaska Native; Asian; Native Hawaiian and Other Pacific Islander;

Some other race

155 White; Black or African American; American Indian and Alaska Native; Asian; Native

Hawaiian and Other Pacific Islander

156 White; Black or African American; American Indian and Alaska Native; Asian; Some

other race

157 White; Black or African American; American Indian and Alaska Native; Native Hawaiian

and Other Pacific Islander; Some other race

158 White; Black or African American; Asian; Native Hawaiian and Other Pacific Islander;

Some other race

159 White; American Indian and Alaska Native; Asian; Native Hawaiian and Other Pacific

Islander; Some other race

160 Black or African American; American Indian and Alaska Native; Asian; Native Hawaiian

and Other Pacific Islander; Some other race

161 White; Black or African American; American Indian and Alaska Native; Asian; Native

Hawaiian and Other Pacific Islander; Some other race

[American Indian and Alaska Native tribes]

200 Alaskan Athabascan alone

201 Alaskan Athabascan alone or in any combination

202 Aleut alone

203 Aleut alone or in any combination

204 Apache alone

205 Apache alone or in any combination

206 Blackfeet alone

207 Blackfeet alone or in any combination

208 Cherokee alone

209 Cherokee alone or in any combination

210 Cheyenne alone

211 Cheyenne alone or in any combination

212 Chickasaw alone

213 Chickasaw alone or in any combination

214 Chippewa alone

215 Chippewa alone or in any combination

216 Choctaw alone

217 Choctaw alone or in any combination

218 Colville alone

219 Colville alone or in any combination

H–4 Characteristic Iterations

U.S. Census Bureau, Census 2000
[American Indian and Alaska Native tribes–Con.]

220 Comanche alone

221 Comanche alone or in any combination

222 Cree alone

223 Cree alone or in any combination

224 Creek alone

225 Creek alone or in any combination

226 Crow alone

227 Crow alone or in any combination

228 Delaware alone

229 Delaware alone or in any combination

230 Eskimo alone

231 Eskimo alone or in any combination

232 Houma alone

233 Houma alone or in any combination

234 Iroquois alone

235 Iroquois alone or in any combination

236 Kiowa alone

237 Kiowa alone or in any combination

238 Latin American Indian alone

239 Latin American Indian alone or in any combination

240 Lumbee alone

241 Lumbee alone or in any combination

242 Menominee alone

243 Menominee alone or in any combination

244 Navajo alone

245 Navajo alone or in any combination

246 Osage alone

247 Osage alone or in any combination

248 Ottawa alone

249 Ottawa alone or in any combination

250 Paiute alone

251 Paiute alone or in any combination

252 Pima alone

253 Pima alone or in any combination

254 Potawatomi alone

255 Potawatomi alone or in any combination

256 Pueblo alone

257 Pueblo alone or in any combination

258 Puget Sound Salish alone

259 Puget Sound Salish alone or in any combination

260 Seminole alone

261 Seminole alone or in any combination

262 Shoshone alone

263 Shoshone alone or in any combination

264 Sioux alone

265 Sioux alone or in any combination

266 Tlingit-Haida alone

267 Tlingit-Haida alone or in any combination

268 Tohono O’Odham alone

269 Tohono O’Odham alone or in any combination

Characteristic Iterations H–5

U.S. Census Bureau, Census 2000
[American Indian and Alaska Native tribes–Con.]

270 Ute alone

271 Ute alone or in any combination

272 Yakama alone

273 Yakama alone or in any combination

274 Yaqui alone

275 Yaqui alone or in any combination

276 Yuman alone

277 Yuman alone or in any combination

[Hispanic or Latino]

400 Hispanic or Latino (of any race)

401 Mexican

402 Puerto Rican

403 Cuban

404 Other Hispanic or Latino

405 Dominican (Dominican Republic)

406 Central American

407 Costa Rican

408 Guatemalan

409 Honduran

410 Nicaraguan

411 Panamanian

412 Salvadoran

413 South American

414 Argentinian

415 Bolivian

416 Chilean

417 Colombian

418 Ecuadorian

419 Paraguayan

420 Peruvian

421 Uruguayan

422 Venezuelan

423 Spaniard

424 All other Hispanic or Latino

450 Not Hispanic or Latino

451 White alone

452 White alone or in combination with one or more other races

453 Black or African American alone

454 Black or African American alone or in combination with one or more other races

455 American Indian and Alaska Native alone

456 American Indian and Alaska Native alone or in combination with one or more other

races

457 Asian alone

458 Asian alone or in combination with one or more other races

459 Native Hawaiian and Other Pacific Islander alone

460 Native Hawaiian and Other Pacific Islander alone or in combination with one or more

other races

461 Some other race alone

462 Some other race alone or in combination with one or more other races

463 Two or more races

H–6 Characteristic Iterations

U.S. Census Bureau, Census 2000
[Ancestry groups]

500 Acadian/Cajun (936-938)

501 Afghan (600)

502 Albanian (100)

503 Alsatian (000-001)

504 Arab (400-415, 417-418, 421-430, 435-481, 490-499)

505 Arab/Arabic (495-499)

506 Egyptian (402-403)

507 Iraqi (417-418)

508 Jordanian (421-422)

509 Lebanese (425-426)

510 Moroccan (406-407)

511 Palestinian (465-467)

512 Syrian (429-430)

513 Armenian (431-433)

514 Assyrian/Chaldean/Syriac (482-489)

515 Australian (800-802)

516 Austrian (003-004)

517 Basque (005-007)

518 Belgian (008-010)

519 Brazilian (360-364)

520 British (011-014)

521 Bulgarian (103)

522 Canadian (931-934)

523 Celtic (099)

524 Croatian (109-110)

525 Czech (111-113)

526 Czechoslovakian (114)

527 Danish (020, 023)

528 Dutch (021, 029)

529 English (015, 022)

530 Estonian (115-116)

531 European (195)

532 Finnish (024-025)

533 French (except Basque) (016, 026-028, 083)

534 French Canadian (935)

535 German (032-045)

536 Greek (046-048)

537 Guyanese (370-374)

538 Hungarian (125-126)

539 Icelander (049)

540 Iranian (416)

541 Irish (050, 081)

542 Israeli (419-420)

543 Italian (030-031, 051-074)

544 Latvian (128)

545 Lithuanian (129)

546 Luxemburger (077)

547 Macedonian (130-131)

548 Maltese (078)

549 Norwegian (082)

550 Pennsylvania German (929)

551 Polish (142-143)

Characteristic Iterations H–7

U.S. Census Bureau, Census 2000
[Ancestry groups–Con.]

552 Portuguese (084-086)

553 Romanian (144-147)

554 Russian (148-151)

555 Scandinavian (098)

556 Scotch-Irish (087)

557 Scottish (088)

558 Serbian (152)

559 Slavic (178-180)

560 Slovak (153)

561 Slovene (154-155)

562 Subsaharan African (500-599)

563 African (599)

564 Cape Verdean (510-511)

565 Ethiopian (522-524)

566 Ghanian (529)

567 Nigerian (553-560)

568 South African (570-573)

569 Swedish (089-090)

570 Swiss (091-096)

571 Turkish (434)

572 Ukrainian (171-174)

573 United States or American (939-994)

574 Welsh (097)

575 West Indian (excluding Hispanic origin groups) (300-359)

576 Bahamian (300)

577 Barbadian (301)

578 Belizean (302)

579 British West Indian (321-331)

580 Dutch West Indian (310-313)

581 Haitian (336-359)

582 Jamaican (308-309)

583 Trinidadian and Tobagonian (314-316)

584 West Indian (335)

585 Yugoslavian (176-177)

H–8 Characteristic Iterations

U.S. Census Bureau, Census 2000
Acknowledgments

The Office of the Associate Director for Decennial Census, John H. Thompson, Associate Director for Decennial Census; Preston Jay Waite, Assistant Director for Decennial Census; Carolee

Bush, Mimi L. Born, Special Assistants; Oscar G. Farah, Decennial Systems Architecture and

Integration Manager; Robert Fay, Senior Mathematical Statistician; William Bell, Senior Mathematical Statistician for Small Area Estimation; Elizabeth Martin, Senior Researcher for Survey

Methodology.

Gloria Gutierrez, Assistant Director for Marketing and Customer Liaison; LaVerne V. Collins,

Assistant to the Associate Director for Communications; Kenneth C. Meyer, Special Assistant,

Office of the Associate Director for Communications.

The Decennial Management Division, Susan M. Miskura, Division Chief; Teresa Angueira, Lead

Assistant Division Chief; M. Catherine Miller, Assistant Division Chief for Decennial Communications; Miguel B. Perez, Assistant Division Chief for Budget and Management Information Systems; A. Edward Pike, III, Assistant Division Chief for Systems, Geography and Content Programs; Edison Gore, Assistant Division Chief for Field Programs; Fay F. Nash, Assistant Division

Chief for Statistical Design/Special Census Programs. Branch Chiefs and Staff: Wilfredo Sauri

Garcia, Kathleen M. Halterman, Idabelle B. Hovland, Jane H. Ingold, Agnes S. Kee,

Edward L. Kobilarcik, Paulette M. Lichtman-Panzer, Carol M. Miller, William E. Norfolk,

Burton H. Reist, Barbara S. Tinari, Maria E Urrutia, Violeta Vazquez, Andrew W.

Visnansky. Other Contributors: Leonard R. Baer, Ramala Basu, William D. Biggar,

Nicholas I. Birnbaum, Joanne L. Bluhm, Tasha R. Boone, Sharon K. Boyer, Sarah E. Brady,

Carol Briggs, Andrea F. Brinson, Julia Buckley-Ess, Geneva A. Burns, Bennie K. Butler,

Rochelle Carpenter, Edmund J. Coan, Jr., David A. Coon, Donnesha Y. Correll, Karen A.

Crook, Enid Cruz-Mirabal, Alex E. Cutter, KaTrina J. Dandie, Gail S. Davidson, Sherry P.

Deskins, Gretchen A. Dickson, Mark E. Dickson, William B. Eaton, Richard T. Edwards,

Cynthia R. Eurich, Karen S. Fields, Lourdes N. Flaim, Linda Flores-Baez, Charles F.

Fowler, III, Wallace Fraser, Gemma M. Furno, Alfred Gigletto, John W. Gloster, Tere M.

Glover, Audrian J. Gray, Mark T. Gray, Annette M. Guevarez, Rebecca J. Halterman,

Carolyn L. Hampton, Catherine J. Hartz, Anne Jones, Doris M. Kling, Debra A. Latham,

Douglas M. Lee, Charles T. Lee, Jr., Vanessa M. Leuthold, Raymond N. Loftin, Jeannie A.

McClees, Joy McLaughlin, Karen S. Medina, Hector X. Merced, Lourdes M. Morales,

Laureen H. Moyer, Margarita M. Musquiz, Jaime Nazario-Perez, Jo Ann Norris, Ivonne

Pabon-Marrero, Deborah Padua-Ferris, Eloise K. Parker, Alicia E. Pickett, Ann Quarzo,

Annette M. Quinlan, Monica L. Rodia, Denise Sanders, Monique V. Sanders, Glenn C.

Schneider, Clayton D. Spangenberg, Darlene L. Stewart, Kathleen J. Stoner, Shirley H.

Stover, Myss R. Sykes, Wanda J. Thomas, Maura E. Tipping, Nichole Tillman, Nevalle

Wade, Shelley A. Walker, Sherri M. Walker, Marcia S. Willhide.

The Decennial Systems and Contracts Management Office, Michael J. Longini, Division Chief;

Edwin B. Wagner, Jr., Deputy Division Chief; Alan J. Berlinger, Assistant Division Chief for Data

Capture Program; J. Gary Doyle, Assistant Division Chief for Systems Integration; Patricia Kelly,

Assistant Division Chief for 2000 Printing Contracts; Michael L. Palensky, Assistant Division

Chief for Acquisition Division; Robert A. Rinaldi, Assistant Division Chief for Automation Infrastructure; Dennis W. Stoudt, Assistant Division Chief for Processing and Support. Branch and

Staff Chiefs: Curtis Broadway, Danny Burkhead, Neil Thomas Cotton, Don Danbury,

Wendy D. Hicks, Donald R. Dwyer, Ben Eng, Suzanne Fratino, Pauline C. Hanson,

Carolyn Hay, Robert J. Hemmig, James Marsden, Warren McKay, George H. McLaughlin,

William L. Peil, William Russell, David Sliom, Emmett F. Spiers, Marie P. Sudik, Tracy

Wessler. Other Contributors: Carolyn G. Blackford, Mary Louise Bohle, Jean M. Clark,

U.S. Census Bureau, Census 2000
Michael Clark, Jack F. Davis, Gladys V. Davis, Julia B. Dickens, Michael S. Dugan,

William A. Eng, Diana L. Giffin, Margaret E. Goldsmith, Charles J. Kahn, Ellen B. Katzoff,

Sunhak Kim, Patricia L. Kirk, Andrew P. Kraynak, Sandra L. Lantz, Brenda F. Lukenich,

Patricia Madson, Caroline S. Magill, Karen K. Mitchell, Gerard Moore, Patrick J. Mulcahy,

Duc Mong Nguyen, Robert A. Peregoy, Mary S. Petrocci, Dan E. Philipp, Phyllis Simard,

Frances A. Simmons, Johanne M. Stovall, David A. Tabaska, Jess D. Thompson, Mary M.

Tucker, Michael T. Wharton, Mary M. Wright.

The Data Access and Dissemination System Office, E. Enrique Gomez, Division Chief; William K.

Stuart, Assistant Division Chief. Branch and Staff Chiefs: Harold M. Brooks, Jack F. Davis,

Mark I. Kronisch, Peter Rosenson, Sandra K. Rowland. Other Contributors: Susan Ann

Baptist, Amy M. Bishton, Marian E. Brady, Rosalie A. Britt, John K. Butler, Jr.,

Raymond W. Davis, Radine L. Desperes, Karen S. Dutterer, Janis A. Ennis, Sharon K.

Fortuna, Beverly B. Fransen, Jean M. Haynes, Jennifer L. Holland, Eugene M. Rashlich,

Aric G. Smarra, Joann M. Sutton, Doung D. To, Berlyn Wheeler, Margaret G. Williams.

The Decennial Statistical Studies Division, Howard Hogan, Division Chief; Jon Clark, Assistant

Division Chief for Census Design; Maureen P. Lynch, Assistant Division Chief for Coverage Measurement Processing; Donna Kostanich, Assistant Division Chief for Sampling and Estimation;

Rajendra Singh, Assistant Division Chief for Statistical Communications; David C. Whitford,

Assistant Division Chief for Statistical Program Management; Barbara Walter, Special Assistant to

the Division Chief. Branch Chiefs: Nicholas Alberti, Patrick Cantwell, Danny Childers,

Deborah Fenstermaker, Philip M. Gbur, Richard Griffin, Charisse E. Jones, Marjorie

Martinez, Alfredo Navarro, Magdalena Ramos, Jennifer Reichert, James Treat. Other Contributors: Tamara Adams, Paula Anderson, Mark Asiala, Susan Atha, Diane Barrett,

Stephanie Baumgardner, Michael Beaghen, Rosemary Byrne, Kathy Rae Carlers, Nathan

Carter, Inez Chen, John Chesnut, Kara Morgan Clarke, Ryan Cromar, Peter Davis,

Charles R. Dimitri, Carl Durant, Lisa Fairchild, James Farber, Golam Farooque, Roxanne

Feldpausch, Patricia Fisher, Courtney Ford, Rhonda Geddings, Greg Golebiewski, Alicia

Green, Dawn E. Haines, Kevin Haley, Steven Hefter, John Hilton, Maria Cupples Hudson,

Jerry Imel, Lynn Imel, Meiliawati Iskandar, Levern Jacobs, Jr., Carrie Johanson, Kimball

Jonas, John Jones, Loleysa Kelly, Jae Kwang Kim, Felipe Kohn, Bau Le, Xijian Liu, Anne

McGaughey, Dave McGrath, Tracey McNally, Vincent T. Mule, Jr., Nganha Nguyen, Susan

Odell, Broderick Oliver, Doug Olson, Robin A. Pennington, Rebecca Piegari, Barbara

Ray, Miriam Rosenthal, Matthew Salganik, Robert Sands, Eric Schindler, Shuping Shen,

Dave Sheppard, Roger Shores, Charles D. Sissel, Damon Smith, Phawn Stallone, Michael

Starsinic, Martha Sutt, Michael Tenebaum, Ana Valentin, Joseph G. VanNest, Mark

Viator, Erin Whitworth, Glenn Wolfgang, Kevin Zajac, Mary Frances Zelenak, Randal

ZuWallack.

The Housing and Household Economic Statistics Division, Daniel H. Weinberg, Division Chief;

Leonard J. Norry, Assistant Division Chief for Housing Characteristics; Charles T. Nelson,

Assistant Division Chief for Income, Poverty, and Health Statistics; Stephanie S. Shipp, Assistant

Division Chief for Labor Force Statistics and Outreach; Richard A. Denby, Assistant Division

Chief for Estimation, Processing, and Programming. Branch Chiefs, Staff Chiefs, and Special Assistants: Larry L. Beasley, Donald R. Dalzell, Peter J. Fronczek, Patricia A. Johnson, Susan P.

Love, John M. McNeil, Mary Naifeh, Thomas J. Palumbo, Lydia Scoon-Rogers, Thomas S.

Scopp, Edward J. Welniak, Jeanne M. Woodward. Other Contributors: Laura Adler,

Elaine M. Anderson, Jana L. Asher, John T. Baker, II, Dana A. Bradley, Robert L.

Bennefield, Donna Benton, Joanne Binette, Helen Bohle, Ester Buckles, Mary Thrift

Bush, Stephen L. Campbell, Charita Castro, Linda B. Cavanaugh, William S. Chapin,

Joan M. Clarke, Joseph P. Dalaker, Bonnie L. Damon, Michael E. Davern, Sarah C. Davis,

Katharine M. Earle, Reita Glenn-Hackett, Timothy S. Grall, Ann-Margaret Jensen, Mary C.

Kirk, Diana J. Lewis, Tracy A. Loveless, Sandra Luckett, Wynona L. Mims, Thomas

Niemczyk, Roberta T. Payne, Hung X. Phan, Chandararith R. Phe, Kirby G. Posey,

David M. Rajnes, Dwayne Ross, Howard A. Savage, Peter J. Sepielli, Paul Siegel, Nora

Szeto, Jan Tin, Sherri C. Tompa, Victor M. Valdisera, Marjorie R. Ward, Myra A.

Washington, Mai A. Weismantle, Ellen B. Wilson.

U.S. Census Bureau, Census 2000
The Population Division, John F. Long, Division Chief; Louisa F. Miller, Assistant Division Chief

for Census Programs; Signe Wetrogan, Assistant Division Chief for Population Estimates and Projections; Robert A. Kominski, Assistant Division Chief for Social and Demographic Statistics;

Jorge del Pinal, Assistant Division Chief for Special Population Statistics; Peter Way, International Programs Center Chief. Branch Chiefs, Staff Chiefs, and Special Assistants: Michael J.

Batutis, Jr., Judy Belton, Claudette Bennett, Lisa Blumerman, Robert Bush, Edwin R.

Byerly, Arthur Cresce, Jr., Jennifer C. Day, Kevin Deardorff, Manuel de la Puente,

Glenn S. Ferri, Campbell J. Gibson, Karen Humes, Diana Lopez-Meisel, Robert Nunziata,

Martin O’Connell, E. Marie Pees, J. Gregory Robinson, Phillip A. Salopek, Arlene Saluter,

William Schooling, Annetta C. Smith, Gregory Spencer, Janice A. Valdisera. Other Contributors: Arjun Adlakha, Patricia Anderson, Amy Arnett, Angela D. Asano, Lea Auman,

Cassandra Banks, Jessica Barnes, Kurt Bauman, Bonny M. Berkner, Mary Blankenship,

Celia G. Boertlein, Ellen J. Bradley, Angela Brittingham, Antonio Bruce, Rosalind Bruno,

Katherine Campbell, Paul R. Campbell, Rachel Cassidy, Linda Chase, Charles L. Clark,

Sheila Colbert, Margaret Cole, Joseph Costanzo, Rosemarie Cowan, Andrea Curry,

James Creech, Prithwis Das Gupta, Cynthia Davis, Warren F. Davis, Kimberly A.

DeBarros, Donna Defibaugh, Jason Devine, Tina Dosunmu, Bruce Durding, Jane Dye,

Carol S. Faber, Alison Fields, Jason Fields, Timothy R. Fitzgerald, Todd Gardner, Yvonne

Gist, Sherrell Goggin, Rosalyn M. Green, Elizabeth Grieco, Betsy Guzman, Kristin A.

Hansen, Kenneth Hawkins, Mary Hawkins, Lisa Hetzel, Keller Hill, Phyllis Hogan, Amie

Jamieson, Tecora Jimason, Arvella Johnson, Rodger Johnson, Nicholas Jones, Colleen

Joyce, Kay T. Jung, Linda B. Kehm, Mary Elizabeth Kennedy, Mary R Kennedy, Jennifer

Kipple, Lois M. Kline, Jeffrey J. Kuenzi, Emily M. Lennon, Michael Levin, Mary Louviere,

Terry Lugaila, Paul Mackun, Gladys Martinez, Linda Mayberry, Jesse McKinnon, Janin

Menendez, Julie Meyer, Karen M. Mills, Terri Monroe, Kathleen Morris, Debra Niner,

Catherine O’Brien, Grace O’Neill, Stella Ogunwole, Thomas Ondra, Marc Perry, Sherry B.

Pollock, Ann Powell, David Rain, Roberto Ramirez, Michael Ratcliffe, Cynthia Ratliff,

John Reed, Edith Reeves, Clara A. Reschovsky, Donna Robertson, Anne R. Ross, Camille

Ryan, Rebecca Sauer, Selma Sawaya, Jason P. Schachter, Rebeckah Schlosser, Dianne

Schmidley, Hyon Shin, Robert Shlanta, Linda Showalter, Tavia Simmons, Victoria

Simmons, Larry Sink, Brenda Skillern, Amy Smith, Denise I. Smith, Pamela Smith, Steven

Smith, Renee E. Spraggins, Gretchen A. Stiers, Michael Stroot, Trudy Suchan, Susan M.

Swan, Nancy L. Sweet, Gloria A. Swieczkowski, Leah Taguba, Anthony Tchai, Herbert

Thompson, Carolyn Tillman, Marylou Unsell, Barbara Van der Vate, Paula Vines,

Grace T. Waibel, William Wannall, Elizabeth Weber, Kirsten West, Nina J. Williams, David

Word, Janet Wysocki.

The Customer Liaison Office, Stanley J. Rolark, Division Chief. Team Leaders/Branch Chiefs:

Renee Jefferson-Copeland, Barbara A. Harris, Thelma Stiffarm. Other Contributors:

Franklin J. Ambrose, Michael Bryan, Kassandre Cowan, Russell Davis, Jr., LaShaunne

Graves, Keller Hill, Edwina Jaramillo, Janice Jones, Wayne Kei, Brenda Kelly, Barbara

LaFleur, William M. Millett, Cerafin (John) Morales, Catherine Yvonne Smallwood, Debra

Spinazzola, Charmae G. Taliaferro, Ernest Wilson.

The Administrative and Customer Services Division, Walter C. Odom, Division Chief; Michael G.

Garland, Assistant Division Chief for Product Development and Publications Services. Branch

Chiefs: James R. Clark, Gary J. Lauffer. Other Contributors: Barbara H. Blount, Cynthia G.

Brooks, Meshel L. Butler, Tina T. Egan, Bernadette J. Gayle, Shirley McLaughlin, Kim D.

Ottenstein, Rena S. Pinkney, Laurene V. Qualls, Amanda D. Shields, Margaret A. Smith.

The Census 2000 Redistricting Data Office, Marshall L. Turner, Jr., Division Chief; Catherine

Clark McCully, Assistant Division Chief.

The Geography Division, Robert W. Marx, Division Chief; Robert LaMacchia, Assistant Division

Chief for Geocartographic Services; Linda Franz, Assistant Division Chief for Geographic Operations; David Galdi, Assistant Division Chief for Geographic Application Systems; Carl Hantman,

Assistant Division Chief for Geoprocessing Systems; Joseph Knott, Geographic Operations

Advisor. Primary Contributors: Joanne Aikman, David Aultman, Maurice Austin,

U.S. Census Bureau, Census 2000
Lawrence Bates, Constance Beard, Richard Birdsong, Ronald Blake, Gerard Boudriault,

Kaile Bower, Bob Brown, Calvin Brown, John Byle, Gerald Coleman, Tracy Corder,

Michael DeGennaro, Charles Dingman, Leo Dougherty, David Earles, Anita Easter, Amy

Fischer, Deanna Fowler, Carol Gleason, Tammi Gorsak, Michael Hackelton, Kevin

Holmes, Ruth Johnson, Stephen Jones, Mark Kueck, Sean Kinn, Quinn Lee, Carl

Leggieri, Rhonda Levi, Alan Longshore, Joseph Marinucci, Joan Meiller, Carol Muscia,

Kimberly Newkirk, Michael Niosi, Linda Orsini, Vincent Osier, Brian Osterloh, Nick

Padfield, Linda Pike, Lourdes Ramirez, Patricia Ream, Anne Richards, Barbara Rosen,

Janemary Rosenson, Ricardo Ruiz, Barbara Saville, Jeffrey Schneider, Brian Scott,

Stephanie Spahlinger, Jay Spurlin, Dorothy Stroz, Brian Swanhart, David Tarr, William

Thompson, Angela Thornton, Timothy Trainor, Jaime Turner, Meade Turner, Michael Van

Dyke, Scott Wilcox, Donna Zorn. Other Contributors: David Alexander, Patricia Angus,

Brian Beck, Frederick Broome, John Brown, Anthony Costanzo, Raymond Craig, Paul

Daisey, Robert Damario, Beverly Davis, Sonya DeSha-Hill, Dorothea Donahue, Scott

Fifield, Andy Flora, Gerald Furner, Randy Fusaro, Leslie Godwin, John Liadis, Paul

Manka, John McKay, Victor Meiller, Gwendolyn McLaughlin, Lornell Parks, James

Pender, Al Pfeiffer, Rose Quarato, Danielle Ringstrom, Carl Sanders, George Sarkees,

Joel Sobel, Daniel Sweeney, Dan Todd, Charles Whittington.

The Telecommunications Office, Larry J. Patin, Division Chief; Kenneth A. Riccini, Assistant

Division Chief. Team Leaders: Janet T. Absher, Donald E. Badrak, II, Edward H. Cormier,

Pamela D. Mosley, Clement J. Scanlan, John R. Selock, Gary K. Sweely. Senior Staff Contributors: Teryl A. Baker, Judith K. Brunclik, Kevin D. Butler, Steven P. Joseph, Anthony L.

Lesko, Jr., Deborah L. Ludka, Patrick L. McDonald, Jae M. Pak, Lee E. Rian, Robert M.

Scott, Calvin R. Spears, Ronald L. Steinberg, Christopher D. Volatile, Marcus A. Ward,

Gary L. Williams. Other Contributors: Joan A. Babb, Michael J. Bartolomeo, Jr., Krishan K.

Chhibbar, Mary E. Deas, Sharon C. Dombrowski, Brenda J. Galvin, Priscilla A. Harrell,

Leo T. Hool, Minh L. Huynh, Cyrus S. Jackson, Jr., Joseph J. Powell, Phyllis A. Shipley,

Cynthia A. Simmonds, Lester R. Swann, Tonette M. Swanson, Carlene C. Tayman,

Vivian A. Wilson.

The Technologies Management Office, Barbara M. LoPresti, Division Chief; Howard Prouse,

Assistant Division Chief for Census Automation; Roy F. Borgstede, Assistant Division Chief for

Systems; Judy Dawson, Assistant to the Assistant Division Chief for Census Automation. Team

Leaders: Steven Angel, Leah Arnold, Jerome Garrett, Chris Garza, Tim McGarvey, Bob

McGrath, Tom McNeal, Mark Peitzmeier, Jane Polzer, Ellen Soper, Robert Soper, Yiwei Yu.

Other Contributors: Edgard Antonio, Sheila Astacio, Bill Ballew, Erica Bilek, Robert Brown,

Annie Calhoun, Joanne Carruba, Cedric Carter, Carol Comisarow, Frank Fisiorek, Susan

Galeano, Sharon Gross, Michael Haas, Carol Hammond, Deloris Higgins, Chris Kent,

Michael Marini, Patricia Montgomery, Gail Nairn, Yu-Jihng Peng, Caroline Riker, Nancy

Rogers, Gary Seigel, Sandra D. Stewart, Darrin Stolba, Lynn Swindler, Luana Tran,

Douglas Vibbert, John View, Karen Wyatt.

The Statistical Research Division, Tommy Wright, Division Chief; Marty Appel, Leslie

Brownrigg, Beverley Causey, Bor-Chung Chen, Carol Corby, Melinda Crowley, Manuel de

la Puente, Theresa DeMaio, David DesJardins, Joyce Farmer, Maria Garcia, Eleanor

Gerber, Dan Gillman, Sam Hawala, Samuel Highsmith, Jr., Richard Hoffman, III, C. Easley

Hoy, Elizabeth Huang, Michael Ikeda, Cary Isaki, Catherine Keeley, Jay Kim, William

LaPlant, Gregory Lestina, Jr., John Linebarger, Lawrence Malakhoff, Donald Malec, Kent

Marquis, Paul Massell, Thomas Mayer, Jeffrey Moore, Elizabeth Murphy, Elizabeth

Nichols, Thomas Petkunas, Edward Porter, Lorraine Randall, Cleo Redline, Matt Salo,

Mary Scaggs, Laurel Schwede, Philip Steel, Yves Thibaudeau, Julie Tsay, Elizabeth

Vacca, Todd Williams, William Winkler, Laura Zayatz.

The Congressional Affairs Office, Robin J. Bachman, Division Chief; Joanne M. Caldwell, Assistant Division Chief. Congressional Affairs Associates: John H. Ambler, Clive R. Richmond. Liaison Staff and Assistants: Lee E. AuCoin, Stuart P. Durst, Sharon K. Murtha, Joanne M.

Ramsey, Leatha Lamison-White. Other Contributors: Martha E. Gigger, Tracey N. Harrison,

Colleen Smith, Tammy Sutton, Regina M. Toye, Barbara J. Ziccardi.

U.S. Census Bureau, Census 2000
The Marketing Services Office, John C. Kavaliunas, Division Chief. Branch and Staff Chiefs:

Barbara Aldrich, Joanne Dickinson, Colleen Flannery, George Selby, Leslie D. Solomon,

Joyce Ware. Other Contributors: William Crews, Barbara Garner, Mary Jane McCoy, Robert

Schneider, Jr., David L. Wycinsky, Jr.

The Public Information Office, Maury Cagle, Chief. Other Contributors: Sharon Anderson,

Angela Baker, Chris Baumgartner, Mike Bergman, Robert Bernstein, George Boyd, Patti

Buscher, Catherine Childress, Renee Clagett, Noel Clay, Danielle Conceicao, Debra

Corbett, Pauline Cornellier, Cat Crusan, Robin Davis, Darlene Dickens, Mary

Dolezuchowicz, Pat Dunton, Karen Epp, Joe Forte, Mike Freeman, Fred Gatlin, Gerri

Griffith, Kara Haley, Barbara Hatchl, David Hoffman, Bonnie Hopper, Danny Johnson,

Dwight Johnson, Schere Johnson-Jordan, Ellie Juergens, Lucille Larkin, Debbie Law,

Mark Mangold, Eileen Marra, Suzanne Moret, Mike Morgan, Linda Nancarrow, Bryan

Niemiec, Ruth Osborne, James Pasierb, Mary Pelzer, Rick Reed, Victor Romero, Bey-Ling

Sha, Barbara Soule, Mary G. Thomas, Beverly Thompson, Donna Tillery, Neil Tillman,

Mark Tolbert, III, Gene Vandrovec, Jeanne Waples, Tom Webster, Everett Whiteley, Janet

Wooding, J. Paul Wyatt, Kevin Younes.

The Policy Office, Gerald W. Gates, Chief. Branch and Staff Chiefs: Wendy L. Alvey, Thomas A.

Jones, William F. Micarelli, Marilyn H. Moore, Jacqueline R. Yates. Other Staff: David G.

Hendricks, Patricia L. Melvin, David M. Pemberton, Sandra L. Shahady, Fred J. Shenk.

The Census 2000 Publicity Office, Steven J. Jost, Associate Director for Communications;

Jennifer P. Marks, Division Chief; Special Assistants to the Division Chief, Kerry Sutten and

Judith Waldrop. Branch Chiefs and Staff: Angelia Banks, Patti Becker, Charlene Bickings,

Cherrie Burgess, Shirley Clevinger, Dave Coontz, Paula Coupe, Kimberly A. Crews,

Nedra Darling, Jenmaire Dewberry, Thomas W. Edwards, Michele Freda, Michelle

Hammond, Angela M. Johnson, Sharon Massie, Dorothy G. Moorefield, Lillian Moy,

Diane Norton, Kendall Oliphant, Elaine V. Quesinberry, Beverly A. Roberts, Monica

Smith, Dorothy Winslow.

The Planning, Research, and Evaluation Division, Ruth Ann Killion, Division Chief; Deborah

Bolton, Assistant Division Chief for Coordination; David Hubble, Assistant Division Chief for

Evaluations; Charlene Leggieri, Assistant Division Chief for Administrative Records Research;

Sally Obenski, Assistant Division Chief for 2010 Planning. Staff Group Leaders and Staff: Joan

Marie Hill, Dean Judson, Vickie Kee, Juanita Lott, Randall Neugebauer, Rita Petroni,

Arona Pistiner, Cotty Smith, Emilda Rivers, George Train, Frank Vitrano, Henry

Woltman, Stephen Ash, Jana Asher, Elizabeth Banks, Mikahil Batkhan, Mark Bauder,

Susanne Bean, Katie Bench, Keith Bennett, Michael Berning, Harold Bobbitt, Linda

Brudvig, Joseph Burcham, Tammy Butler, Rita Cacas, Cynthia Chang, Joseph Conklin,

Raph Cook, Ann Daniele, Mary Davis, Benita Dawson, Margaret Duffy, Matt Falkenstein,

Eleni Franklin, Jennifer Guarino, David Hilnbrand, Christine Hough, Lionel Howard,

Norman Kaplan, Anne Kearney, Donald Keathley, Francina Kerr, Jeong Kim, Elizabeth

Krejsa, Dawn LeBeau, John Lukasiewicz, Jason Machowski, Daniella Mungo, Sherri

Norris, Nancy Osbourn, Karen Owens, James Poyer, Joyce Price, David Raglin, Audrey

Rebello, Dean Resnick, Pamela Ricks, Paul Riley, Cynthia Rothhaas, Megan Ruhnke,

Jane Sandusky, Douglas Scheffler, Tammie Shanks, Kevin A. Shaw, Kevin M. Shaw, Diane

Simmons, George Sledge, Carnelle Sligh, Courtney Stapleton, David Stemper, Mary Anne

Sykes, Mary Untch, Deborah Wagner, Lisa Wallace, Phyllis Walton, Irene Zimmermann.

Other Contributors: Jennifer Ambler, Nancy Bates, Genia Battle, Sara Buckley, Esther

Butler, Gary Chappell, Kimberly Collora, Jill Duncan, Mark Gorsak, Matthew Hacker,

Rachel Hall, Theresa Hall Marvin, Sam Hawala, Catherine Hooper, Juanita Jackson,

Michael Larsen, Fred Lestina, Jason Martin, Jay Keller, Yolanda McMillan, Sara Munger,

Natasha Pace; Dave Phelps, Ronald Prevost, Clive Richmond, David Rockoff, Zakiya

Sackor, Herbert Thompson, Erin Vacca, Andrew Zbikowski.

The Systems Support Division, Robert G. Munsey; Contributors: Paul Friday, Cary Bean.

The Field Division, Marvin D. Raines, Associate Director for Field Division; Carol Van Horn,

Assistant to the Associate Director for Field Operations; Michael Weiler, Special Assistant to the

Associate Director for Field Operations; L. Diane Bennett, Special Assistant to the Associate

U.S. Census Bureau, Census 2000
Director for Field Operations; Brian Monaghan, Lead Assistant Division Chief, Censuses; Janet

Cummings, Assistant Division Chief, Budget, Management, and Oversight; Gail Leithauser,

Assistant Division Chief, Geography and Data Collection; Richard Blass, Assistant Division Chief

for Evaluation and Research; Mark Taylor, Assistant Division Chief for Payroll Processing. Special

Assistant for Space and Logistics: Hugh Brennan, Jim Steed. Branch Chiefs, Staff Chiefs, and

Team Leaders: Michael Thieme, Harold Hayes, Brenda August, Miriam Balutis, Jennifer

Jones, Nola Krasko, Jan Jaworski, Karen Seebold, Pamela White, Dwight Osbourn, Bill

Phalen, Isabelle McCants, Nancy Jones, Fred Borsa, Tim Devine, Gerald Brooke, Mike

Stump, Clif Taylor, Cheryl Querry, Maisha Strozier, Geraldine Burt, Sandra Lucas, Dennis

Van Langen, Karen Field, David McCormack, John Donnelly, Kathy Wimbish, Sharon

Schoch, Jeanne Benetti, Peter Sefton, Alicia Morris, Sydnee Chattin-Reynolds, Diana

Harley, Bettye Moohn, Kim Higginbotham, Lorraine Barnett, Charles Moore, Grailand

Hall. Additional Contributors: Mary Beth Williams, Keisha Wilson, Louise Sciukas,

Alemayehu Bishaw, Monsita Hemsley, Maxine Judkins, Anita Lembo, Laura Sewell,

Kathy Maney, Diana Martin, Georgina Manley, William Bivens, Carol Foley, Patricia Pace,

Vicky Glasier, Veronica Pollard, Todd Gore, Stacie Lowe, Dorothy Wilson, Nancy

Radcliffe, Shannon Hill, Troy Scott, Brenda Holmes, Orphas Sommerville, Thomas Ickes,

Marcia White, Monica Parrott Jones, Virginia Zamaitis, Lillian Witters, Tina

Cunningham, JoAnne Dewey, Chuck Hovland, Andrea Sugarman, Marcia Thessin,

Jennifer Weitzel, Edwin Shaw, Neala Stevens, Edith Harvey, Charles Tull, Rene Toole,

Richard Rodgers, Lori Vehrs, Debbie Blizard, Kathleen Garcia, Lydia Hartley, Theresa

Huseman, Dayna Jacobs, Jennifer Tate, Tammie Nelson, Samuel Santos, Tracy Block,

Agnes Brown, Sandra Hatcher, Janice Watson, Catherine Valchera, Ken Graves, Connie

Murray, Don Halcombe, Marilynn Kempf, June Lee, Anita Bryner, Edward Hightower,

Marietta Johnson, Nicole Perrine, Russ Roberts, Bruce Williams, Michelle White,

Lorraine Helms, Wanda Smith, Matthew Stewart, William Pope, Charlene McNeil, Sheri

Smalls, Kathy Belfield, Lakrisha Morton, Geraldine Mekennon, Alvin Osborne, Linda

Williams, Billi Jo Wickstrand, Jim Carrier, Phyllis Godette, Eric Florimon-Reed, Kimberly

Ross, Mary Meadows, Gwen Thomas, Connie Williams, Lu Wood, Rosamond Harris,

Craig Cassidy, Raymond Burgess, Arlet Aanestad, Joyce Boston, Yorlunza Brown,

Elizabeth Squires, Gina Winchester, Eve Franklin, Tiffany Miller, Cheryl Banks, Maureen

Brady, Kimberly Hollingsworth, Robert Tomassoni, Jean Williams, Michelle Williams,

Evette Gomez, Warren Drummond, Paul Riley, Charles Roe, Laura Waggoner, Ron

Whitehead, Jim Cawlo, Ian Millett, Alfonso Zapata, Cicely Stinson, Marcy Bailey, Carolyn

Johnson, Elaine Neal, Elda Robinson, Deborah Russell, Milicent Stewart, Kathy Gaidis,

Delores Jeter, Marilyn Quiles Amaya, Ruby Lewis, Gary Styles, Lillian Wilson, Sabrina

Yates, Latoya Williams, Annetta Akins, Roger Clark, Brian Deevy, Charnessa Hanshaw,

Dennis Hickey, Caleb Kriesberg, Tom Loo, Luis Padilla, Julia Williams.

The Atlanta Regional Census Center, James F. Holmes, Regional Director; Harold K. Wood,

Deputy Regional Director. Assistant Regional Census Managers: Reginald Bigham, Manuel

Landivar, Sneha Desai. Hilda S. Dimmock, Assistant Regional Census Manager for Accuracy

and Coverage Evaluation (A.C.E.); Mary Struebing, Area Manager (A.C.E.). Area Managers: Allen

Cranford, Allen Wells, Patrick Graeser, Stephanye Staggers-Profit, Dorothy Clayton,

Margaret Kelly, Jazmin Mariani, Sherri Dickerson. Regional Recruiters: Bridgitte

Wyche-McGee, Teri Henderson. Rose Polk, Administrative Supervisor; Ann Foster Marriner,

Supervisory Geographer; Thomas S. Wilkie, Supervisory Computer Specialist. Geographers:

Franklin Wallace, Ralph Rose, Nancy Bechler. Partnership Coordinators: Mary Love Sanford,

Danielle Jones.

The Boston Regional Census Center, Arthur G. Dukakis, Regional Director; Kathleen Ludgate,

Deputy Regional Director. Assistant Regional Census Managers: Cornelius S. Driscoll, David F.

Hopkins, Bruce Kaminski. Area Managers: Marc Brochu, Bart Eaton, Hector Feliciano,

Kate Folwell, Jack Hickey, Bryn K. Johnson, Jesse T. Potter. Susan Connors, Administrative Supervisor; James Cormier, Automation Supervisor. Partnership Coordinators: Tia Costello,

Alfred Smith. Partnership Team Leaders: Kathleen Bradley, Apryl Edlund-Stith, Sixto

Escobar, Cynthia Jennings, Giselle Laffitte, Mayra Ramos, Adib Sabree, Peter Walsh,

U.S. Census Bureau, Census 2000
Wanda Wood. Census Recruiters: Diane Gallagher, John Sumner. Mike Horgan, Geographic

Program Supervisor. A.C.E. Assistant Managers: Zoi Kalaitzidis, Juan R. Navarro.

The Charlotte Regional Census Center, Jess A. Avina, Assistant Regional Census Manager for

Field Operations, Recruiting and Geography. Area Managers for Field Operations: R. Richard

Buchholz, Teresa A. Clifton, Francis S. Collins, Linda S. Pike, Craig S. Pickett, Jeanie W.

Presto, D. E. ‘‘Doug’’ Robertson, Vivian D. Roscoe. Regional Recruiters: Cynthia W.

Beamon, John R. Davis, Robert C. Gabbard. Catherine J. Friedenreich, Geography Coordinator. Geographers: Lori L. Boston, Joanna C. Pitsikoulis, David H. Wiggins. E. Wilson

Burdorff, Jr., Assistant Regional Census Manager for Administration, Automation, and Leasing.

Doreen D. Herod, Administrative Supervisor; Jerry W. Helms, Automation Supervisor;

Lucindia E. ScurryJohnson, Deputy Regional Director/Partnership. Partnership Coordinators:

E. Victoria Burke, William N. Ward, Jr. Partnership Team Leaders: Shirletta Vinson Best,

Ronald E. Brown, Doris G. Greene, David J. McMahon, Amy C. Reece, Keith A. Sutton.

Dorothy M. Ballard, Assistant Regional Census Manager for A.C.E. Rosa H. Little, Assistant

ARCM for A.C.E. Team Supervisors for A.C.E.: Johnny D. Ledbetter, Deborah A. Martin,

Stephanie G. Rogers, Kevin E. Winn. Tammy J. Zimmerman, Supervisory Computer

Specialist for A.C.E.

The Chicago Regional Census Center, Stanley D. Moore, Regional Director; Marilyn Sanders,

Deputy Regional Director. Assistant Regional Census Managers: Scott Deuel, Marcia Harmon,

Gail Krmenec, Tracy Fitch. Partnership Coordinators: Marilyn Stephens, Joyce Marks.

Richard Townsend, Recruiting Coordinator; Andrea Johnson, Geographic Coordinator. Area

Managers: Monique Buckner, Audrey Iverson, Josiah Johnson, Marcia Maisenbacher,

John Shankel, Natosha Thompson, Keith Vasseur, Jamie Whiteman. Laurie Walker, Assistant A.C.E. Manager. Other Contributors: Sandra Appler, Christina Flores, Judy Graham,

Henry Gray, Dennis Green, Charles Howleit, Kalim Khan, John Koester, Dieter Krause,

Toni Pitchford, John Rice, Kathy Yendrek, Steve Adrian, Cathy Armour, Terrill Barnes,

Nakia Bartley, Gary Boyer, Barbara Brodsky, Sandra Coyle, Larry Cox, Sandra Dennis,

James Gawronski, Marla Gibson, Gwendolyn Gray, Patricia Herschfeldt, Audrey Iverson,

Toby Lee, Cindy Mailloux, Barbara Pittman, Ann Quattrocchi, Kevin Riggs, Coravonne

Salm, James Schanzle, Mark Schmitz, Ileana Serrano, Anthony Shabazz, Susan Sprecher,

Jerome Stevenson, Montree Svastisalee, Stacey Terry, Daphne Ward, Vernon Ward,

Georgia Adams, Sherri Blumingburg, Cheryl Brown, Sherina Collins, Deborah Cullins

Threets, Zretta Lewis, Mary Melone, Connie McKinley, Paula Miller, Ron Skelton, Vernon

Spears, Mary Ellen Zbierski, Ricardo Capitulo, Ken Carter, Donna Conroy, Wanda Gilbert,

Michael Greer, Jack Mahoney, Cora Rush, Alex Wolter, Lyndon Yin, Taron Dabney,

Kathleen Derel, Paul Dziemiela, Matthew Fitzgibbon, Cynthia Garlington, Linda Gray,

Patrick Hill, Kevin Husch, Carl Kozlowicz, Eileen Manning, Michael Mecaskey, Russell

Pietrowiak, Joel Schoerner, Rapsody Mitra, Daniel Aguirre, Janice Bell, David Bennett,

Kelli Lester Brown, Adam Gibson, Angela Edwards, Saul Garcia, Jill Giedt, Dana Gillon,

Rafael Gonzalez, Salah Goss, Robert Gulick, Michael Holly, Kendall James, George

Juretic, Ardell Ladd, Kimberly Long, Leona Maglaya, Earl McDowell, Joe McGlaughlin,

Beverly Moore, Kenneth Moses, Anna Mustafa, JoAnn Russell, Harry Sampler, Kimberly

Sanders, Detrice Shelton, Charles Slater, Christopher Smith, Stanley Smith, Gerardo

Torres, Julio Villegas, Shirley Warren, Marlene Weisrock, Charles Wright, Susan

Feldman, Helen Giles, Duane Marski, Karl Mirkes.

The Dallas Regional Census Center, Alfonso E. Mirabal, Director; Henry Tow, Deputy Director.

Assistant Regional Census Managers: Michael Garner, Bonnie Young. A.C.E. Staff: Gail E.

Streun, Eloy G. Hernandez, Cheryl L. Earnshaw. Alicia Laughlin, Administrative Supervisor.

Recruiting: John Ortiz, Donna Stovall. Richard De La Garza, Automation; Betty Adamek,

Geographer. Partnership Coordinators: Cherri Green, Marisela Lopez. Partnership Team Leaders: Cera Clark, Sam Gonzales, Gwen Goodwin, Kirk Hemphill, Luz Villegas.

The Denver Regional Census Center, Susan A. Lavin, Regional Director; George M. Cole,

Deputy Regional Director. Assistant Regional Census Managers: James T. Christy, William W.

Hatcher, Jr. Area Managers: William E. Bellamy, Leo E. Cardenas, Mark R. Hendrick,

U.S. Census Bureau, Census 2000
Laura G. Lunsford, Samuel R. Martinez, Lori Putman. Partnership Coordinator; Pamela M.

Lucero. Partnership Specialist - Team Leaders: Earl T. Brotten, Jr., Harold A. Knott,

Belva Morrison. Douglas R. Wayland, Media Partnership Specialist Team Leader. Paul S.

McAllister, Assistant Regional Census Manager for A.C.E. Assistant Managers for A.C.E.:

Bradley E. Allen, Barry L. Stevelman. William F. Adams, Census Recruiter; Russell W. Frum,

Administrative Supervisor; Mark K. Hellfritz, Geographic Coordinator; David C. Skeehan, Automation Supervisor.

The Detroit Regional Census Center, Dwight Dean, Regional Director; Jon Spendlove, Deputy

Regional Director. Assistant Regional Census Managers: Thomas Chodzko, Elaine Wagner,

Janice Pentercs. Christine Blair, Administrative Supervisor; William Brewer, Jr., Automation

Supervisor. Area Managers: Joette Mumford, David Lackey, Katherine Workman, Sari

Raykovitz, Mario Matthews, Susan Hack. Joseph Kogelmann, Geographic Coordinator.

Geographers: Gary Gruccio, G. Gordon Rector, Julie White. Recruiters: M. Randolph

Edwards, Betty Hughes. Partnership Coordinators: Norma Rivas Ricci, Vincent Kountz.

Partnership Team Leaders: Cynthia King, Katherine Shiflet. Robert Haisha, Kim Hunter,

Richard Lundy, Kathryn Reisen. Barbara Clayton, Information Specialist; Katrina Carter,

Assistant Regional Census Manager for A.C.E.; David Sinnott, Assistant A.C.E. Manager; Thomas

Melaney, Automation Supervisor for A.C.E.; Kim Estmond, Administrative Supervisor for A.C.E.

Team Supervisors: David Baize, Lolita Waters, Jennifer Hillman, Eleanor Bowie, Kristina

Dalton, Brendan Best, David Glaza, Stephanie Miller.

The Kansas City Regional Census Center, Henry L. Palacios, Regional Director. Assistant Regional

Census Managers: Dennis R. Johnson, Cathy L. Lacy. Area Managers: Mary E. Briscoe,

Sharon Bunge, Kevin W. Gibson, Patricia M. Sasenick, Jessie M. Williams. Paula GivensBolder, Recruiter. Partnership Coordinators: Marietta Selmon-Gumbel, Tom Beaver. Robert A.

Reed, Automation Supervisor; Craig D. Best, Geographic Coordinator. Geographers: Wes Flack,

Peter Osei-Kwame. Dennis F. Deeney, Administrative Supervisor; Randall E. Cartwright,

Assistant Regional Census Manager A.C.E.; Richard W. Taegel, A.C.E. Area Manager.

The Los Angeles Regional Census Center, John E. Reeder, Jr, Regional Director; Kendrick J.

Ellwanger, Deputy Regional Director. Assistant Regional Census Managers: Stephen J. Alnwick,

Jerry B. Wong, C. Kemble Worley, Hoa Julie Lam Ly. Jim Bussell, A.C.E. Automation Staff.

A.C.E. Management Staff: Brenda Harvell, Elaine Marruffo, Faarax Sheikh-Noor, Wes White.

Geoff Rolat, RCC Administrative Staff. Regional Office Administrative Staff: Isabel Cesena,

Koupei (Gwen) White. RCC Area Managers: Linda Kane Akers, William H. Johnson,

Leonard E. Lee, Annette M. Luna, Eleanor J. Miller, Jesse Rodriguez, Linda Kay Schagrin,

Diana J. Turley. RCC Automation Staff: Yvonne Lam, Ben Rios. Timothy W. McMonagle, RCC

Geographic Coordinator: RCC Geographers: Jeffrey P. Freeland, John D. Kennedy, John

Joseph Moore. RCC Recruiters: Anthony R. Moccia, Jeanne Y. Kondo. Partnership Coordinators: Reina Ornelas, Monica Sandoval. Anthony Greno, Media Team Leader. Partnership Team

Leaders: Luz Castillo, Susan Ng, Maria Padron, John Flores, Belinda Garcia, Ardiss Lilly,

Tommy Randle.

The Philadelphia Regional Census Center, Fernando E. Armstrong, Regional Director; George

Grandy, Jr., Deputy Regional Director. Assistant Regional Census Managers: Nunzio V.

Cerniglia, Philip M. Lutz. John M. Stuart, A.C.E. Assistant Regional Census Manager; John M.

Mendenhall, A.C.E. Assistant Manager; Belinda Castro Gonzalez, A.C.E. Supervisory Computer

Specialist; Geraldine Robinson-Ervin, Administrative Supervisor. Area Managers: Keith R.

Bryant, Betty Ann Fretchel, Tedford J. Griffith, George T. Long, Theodore J. Roman,

Linda J. Shell, Carolyn D. Williams. Eric N. Barson, Automation Coordinator; Vicki L. Lewis,

Geographic Coordinator. Partnership Coordinators: Juanita C. Britton, K. Lyn Kirshenbaum.

Recruiters: Barbara M. Nichols, Maritza Padilla-Laureda.

The New York Regional Census Center, Lester A. Farthing, Regional Director; John W. Dale, II,

Regional Census Manager; Deborah M. Randall, Census Manager. Assistant Regional Census

Managers: Ligia Jaquez, Richard Liquorie, Richard Turnage. Marion Britton, Deputy

Regional Director; Glenda Morgan, Assistant Regional Census Manager for A.C.E; Jon Davis,

Assistant A.C.E. Manager. Area Managers: Jon Beaulieu, Allison Cenac, Erik Cortes,

U.S. Census Bureau, Census 2000
Monette Evans, Somonica Green, Bill Harfmann, George Paladino, Heirberto Rios, Pat

Valle. Deirdre Bishop, Supervisory Geographer. Partnership Coordinators: Alice Chin, Martha

Butler. Waleska Martinez, Supervisory Computer Specialist. Census Recruiters: Kathy

Nicolaou, Raquel Strauss. Inocencio Castro, Administrative Supervisor.

The Seattle Regional Census Center, Moises M. Carrasco, Regional Director; Michael P. Burns,

Deputy Regional Director; Timothy P. Olson, Assistant Regional Census Manager; Jolynn

Lambert, Assistant Regional Census Manager (A.C.E.). Area Managers: Faye Amos, Linda Clark,

Alice Greene, Pamela Harlan, Wendy Hawley, Sonya Jorgensen, Tom Szabla. Lynn

Sorgenfrei, Assistant Manager for A.C.E; Thomas Callahan, Automation Coordinator; Cathy

Baker, (A.C.E.) Supervisory Computer Specialist; Lesca McKee, Computer Specialist; Dennis

Duffy, Supervisory Geographer. Geographers: Richard Campbell, Elena Baranov. Gordon

Wood, Supervisory Geographic Specialist; Andrew Haney, Geographic Specialist; Lynn O’Brien,

Supervisory Geographic Specialist. Administration Supervisors: Mary Plumley, Rick Hunt.

Theodore Heckathorn, Administrative Specialist (Space); Robert Clingman, Partnership Coordinator. Partnership Team Leaders: Lia Bolden, Elaine Dempsey, Nancy Holder, Nikolay

Kvasnyuk, Dan Rosas, Tony Vaska. Census Recruiters: Jan McStay, Maria Hosack.

The National Processing Center Staff, Judith N. Petty, Division Chief; Stanley M. Domzalski,

Assistant Division Chief (Services); Mark T. Grice, Assistant Division Chief (Processing); Jane L.

Woods, Assistant Division Chief (Teleprocessing); David E. Hackbarth, Assistant Division Chief

(Technology and Information); Mark J. Matsko, Assistant Division Chief (Data Capture Center).

Branch and Section Chiefs: Denise D. Anderson, Matthew P. Aulbach, Jean A. Banet,

Linda S. Banet, Debra S. Barksdale, Janice I. Benjamin, James L. Berger, Michael L. Blair,

Carlene Bottorff, Gary L. Bower, Teresa A. Branstetter, William E. Brewer, Jr., Linda

Broadus, Pamela D. Brown, Regina A. Cain, Jo I. Childress, Lester Lee Clement, Kathy L.

Conn, Margaret R. Coy, Ida G. Damrel, Maria T. Darr, Carol A. Dawson, Glen M. Everhart,

Darrell L. Farabee, Angela Feldman-Harkins, Neil C. Ferraiuolo, Grant G. Goodwin,

Judith A. Gregory, Susan C. Hall, Janet L. Harmon, Linda R. Hayden, John Hoffmann,

Leoda F. Houston, Pamela D. Hunter, Howard J. Knott, William A. Korb, Joni S. Krohn,

Ruby M. Lawson, Patricia A. Linton, Eileen S. Little, Thomas M. Marks, Gayle Y. Mathis,

Bernadette J. Mattingly, Donna J. Meredith, Gaye Ellen Miller, Marilyn K. Mink,

Joye A. Mullins, Martha T. Myers, William B. Neely, Don E. Overton, S. Elaine Rogers,

Theodore A. Sands, Kenneth F. Seis, Suzanne B. Shepherd, Ellen Slucher, Connie Smith,

Marsha Sowders, Jill C. Spencer, Aretta Stallard, Arthur B. Stewart, Debra M. Stringer,

Carol A. Stubblefield, Judith G. Van Gilder, Muriel Wharton, Russell O. White, Daniel L.

Whitehouse, Ronald L. Willis, Betty J. Wright, Rosita Young.

U.S. Census Bureau, Census 2000